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LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 572-595 Body_part denotes lower respiratory tract http://purl.org/sig/ont/fma/fma45662
T2 649-672 Body_part denotes lower respiratory tract http://purl.org/sig/ont/fma/fma45662
T3 2938-2961 Body_part denotes lower respiratory tract http://purl.org/sig/ont/fma/fma45662
T4 3409-3413 Body_part denotes gene http://purl.org/sig/ont/fma/fma74402
T5 3459-3466 Body_part denotes protein http://purl.org/sig/ont/fma/fma67257
T6 3525-3533 Body_part denotes proteins http://purl.org/sig/ont/fma/fma67257
T7 3575-3579 Body_part denotes cell http://purl.org/sig/ont/fma/fma68646
T8 3654-3658 Body_part denotes lung http://purl.org/sig/ont/fma/fma7195
T9 3820-3835 Body_part denotes glycoconjugates http://purl.org/sig/ont/fma/fma82782
T10 3944-3948 Body_part denotes lung http://purl.org/sig/ont/fma/fma7195
T11 3949-3956 Body_part denotes tissues http://purl.org/sig/ont/fma/fma9637
T12 6134-6138 Body_part denotes cell http://purl.org/sig/ont/fma/fma68646
T13 6404-6427 Body_part denotes lower respiratory tract http://purl.org/sig/ont/fma/fma45662
T14 16669-16692 Body_part denotes Lower Respiratory Tract http://purl.org/sig/ont/fma/fma45662
T15 16675-16692 Body_part denotes Respiratory Tract http://purl.org/sig/ont/fma/fma265130
T16 17617-17640 Body_part denotes lower respiratory tract http://purl.org/sig/ont/fma/fma45662
T17 21085-21089 Body_part denotes head http://purl.org/sig/ont/fma/fma7154
T18 21093-21097 Body_part denotes head http://purl.org/sig/ont/fma/fma7154
T19 25432-25440 Body_part denotes Antibody http://purl.org/sig/ont/fma/fma62871
T20 25579-25587 Body_part denotes antibody http://purl.org/sig/ont/fma/fma62871
T21 25655-25663 Body_part denotes antibody http://purl.org/sig/ont/fma/fma62871
T22 25870-25873 Body_part denotes IgG http://purl.org/sig/ont/fma/fma62872
T23 26012-26020 Body_part denotes antibody http://purl.org/sig/ont/fma/fma62871
T24 26230-26234 Body_part denotes cell http://purl.org/sig/ont/fma/fma68646
T25 26416-26420 Body_part denotes cell http://purl.org/sig/ont/fma/fma68646
T26 27048-27055 Body_part denotes protein http://purl.org/sig/ont/fma/fma67257
T27 27056-27063 Body_part denotes protein http://purl.org/sig/ont/fma/fma67257
T28 27208-27212 Body_part denotes gene http://purl.org/sig/ont/fma/fma74402
T29 27595-27599 Body_part denotes gene http://purl.org/sig/ont/fma/fma74402
T30 27833-27837 Body_part denotes cell http://purl.org/sig/ont/fma/fma68646
T31 27844-27848 Body_part denotes cell http://purl.org/sig/ont/fma/fma68646
T32 27862-27870 Body_part denotes cytokine http://purl.org/sig/ont/fma/fma84050
T33 28162-28166 Body_part denotes gene http://purl.org/sig/ont/fma/fma74402
T34 28379-28402 Body_part denotes Lower Respiratory Tract http://purl.org/sig/ont/fma/fma45662
T35 28385-28402 Body_part denotes Respiratory Tract http://purl.org/sig/ont/fma/fma265130
T36 28516-28539 Body_part denotes lower respiratory tract http://purl.org/sig/ont/fma/fma45662
T37 28664-28687 Body_part denotes lower respiratory tract http://purl.org/sig/ont/fma/fma45662
T38 30547-30570 Body_part denotes lower respiratory tract http://purl.org/sig/ont/fma/fma45662
T39 30936-30953 Body_part denotes respiratory tract http://purl.org/sig/ont/fma/fma265130
T40 31320-31343 Body_part denotes lower respiratory tract http://purl.org/sig/ont/fma/fma45662
T41 36415-36438 Body_part denotes lower respiratory tract http://purl.org/sig/ont/fma/fma45662
T42 45768-45785 Body_part denotes respiratory tract http://purl.org/sig/ont/fma/fma265130
T43 50378-50401 Body_part denotes Lower respiratory tract http://purl.org/sig/ont/fma/fma45662
T44 50890-50913 Body_part denotes lower respiratory tract http://purl.org/sig/ont/fma/fma45662
T45 51950-51973 Body_part denotes lower respiratory tract http://purl.org/sig/ont/fma/fma45662
T46 52157-52165 Body_part denotes antibody http://purl.org/sig/ont/fma/fma62871
T47 58826-58849 Body_part denotes lower respiratory tract http://purl.org/sig/ont/fma/fma45662
T48 59150-59154 Body_part denotes face http://purl.org/sig/ont/fma/fma24728
T49 60573-60596 Body_part denotes lower respiratory tract http://purl.org/sig/ont/fma/fma45662
T50 61066-61079 Body_part denotes immune system http://purl.org/sig/ont/fma/fma9825
T51 61126-61137 Body_part denotes neutrophils http://purl.org/sig/ont/fma/fma62860
T52 61142-61153 Body_part denotes lymphocytes http://purl.org/sig/ont/fma/fma62863
T53 61193-61206 Body_part denotes immune system http://purl.org/sig/ont/fma/fma9825
T54 61261-61274 Body_part denotes immune system http://purl.org/sig/ont/fma/fma9825
T55 61403-61416 Body_part denotes immune system http://purl.org/sig/ont/fma/fma9825
T56 61729-61735 Body_part denotes genome http://purl.org/sig/ont/fma/fma84116
T57 61756-61764 Body_part denotes proteins http://purl.org/sig/ont/fma/fma67257
T58 62149-62170 Body_part denotes transmembrane protein http://purl.org/sig/ont/fma/fma67858
T59 62184-62193 Body_part denotes G protein http://purl.org/sig/ont/fma/fma61788
T60 62266-62272 Body_part denotes plasma http://purl.org/sig/ont/fma/fma62970
T61 63112-63119 Body_part denotes protein http://purl.org/sig/ont/fma/fma67257
T62 63472-63475 Body_part denotes RNA http://purl.org/sig/ont/fma/fma67095
T63 64533-64537 Body_part denotes iris http://purl.org/sig/ont/fma/fma58235
T64 64841-64849 Body_part denotes antibody http://purl.org/sig/ont/fma/fma62871
T65 64922-64930 Body_part denotes antibody http://purl.org/sig/ont/fma/fma62871

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 572-595 Body_part denotes lower respiratory tract http://purl.obolibrary.org/obo/UBERON_0001558
T2 578-595 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T3 649-672 Body_part denotes lower respiratory tract http://purl.obolibrary.org/obo/UBERON_0001558
T4 655-672 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T5 2938-2961 Body_part denotes lower respiratory tract http://purl.obolibrary.org/obo/UBERON_0001558
T6 2944-2961 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T7 3654-3658 Body_part denotes lung http://purl.obolibrary.org/obo/UBERON_0002048
T8 3944-3948 Body_part denotes lung http://purl.obolibrary.org/obo/UBERON_0002048
T9 6404-6427 Body_part denotes lower respiratory tract http://purl.obolibrary.org/obo/UBERON_0001558
T10 6410-6427 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T11 16669-16692 Body_part denotes Lower Respiratory Tract http://purl.obolibrary.org/obo/UBERON_0001558
T12 16675-16692 Body_part denotes Respiratory Tract http://purl.obolibrary.org/obo/UBERON_0000065
T13 17617-17640 Body_part denotes lower respiratory tract http://purl.obolibrary.org/obo/UBERON_0001558
T14 17623-17640 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T15 21085-21089 Body_part denotes head http://purl.obolibrary.org/obo/UBERON_0000033
T16 21093-21097 Body_part denotes head http://purl.obolibrary.org/obo/UBERON_0000033
T17 28379-28402 Body_part denotes Lower Respiratory Tract http://purl.obolibrary.org/obo/UBERON_0001558
T18 28385-28402 Body_part denotes Respiratory Tract http://purl.obolibrary.org/obo/UBERON_0000065
T19 28516-28539 Body_part denotes lower respiratory tract http://purl.obolibrary.org/obo/UBERON_0001558
T20 28522-28539 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T21 28664-28687 Body_part denotes lower respiratory tract http://purl.obolibrary.org/obo/UBERON_0001558
T22 28670-28687 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T23 30547-30570 Body_part denotes lower respiratory tract http://purl.obolibrary.org/obo/UBERON_0001558
T24 30553-30570 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T25 30936-30953 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T26 31320-31343 Body_part denotes lower respiratory tract http://purl.obolibrary.org/obo/UBERON_0001558
T27 31326-31343 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T28 36415-36438 Body_part denotes lower respiratory tract http://purl.obolibrary.org/obo/UBERON_0001558
T29 36421-36438 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T30 45768-45785 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T31 50378-50401 Body_part denotes Lower respiratory tract http://purl.obolibrary.org/obo/UBERON_0001558
T32 50384-50401 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T33 50890-50913 Body_part denotes lower respiratory tract http://purl.obolibrary.org/obo/UBERON_0001558
T34 50896-50913 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T35 51950-51973 Body_part denotes lower respiratory tract http://purl.obolibrary.org/obo/UBERON_0001558
T36 51956-51973 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T37 58826-58849 Body_part denotes lower respiratory tract http://purl.obolibrary.org/obo/UBERON_0001558
T38 58832-58849 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T39 59150-59154 Body_part denotes face http://purl.obolibrary.org/obo/UBERON_0001456
T40 60573-60596 Body_part denotes lower respiratory tract http://purl.obolibrary.org/obo/UBERON_0001558
T41 60579-60596 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T42 61066-61079 Body_part denotes immune system http://purl.obolibrary.org/obo/UBERON_0002405
T43 61193-61206 Body_part denotes immune system http://purl.obolibrary.org/obo/UBERON_0002405
T44 61261-61274 Body_part denotes immune system http://purl.obolibrary.org/obo/UBERON_0002405
T45 61403-61416 Body_part denotes immune system http://purl.obolibrary.org/obo/UBERON_0002405
T46 64533-64537 Body_part denotes iris http://purl.obolibrary.org/obo/UBERON_0001769

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 45-53 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T2 149-157 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T3 362-370 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T4 381-404 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T5 395-404 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T6 491-499 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T7 504-513 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T8 578-606 Disease denotes respiratory tract infections http://purl.obolibrary.org/obo/MONDO_0024355
T9 619-628 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T10 655-683 Disease denotes respiratory tract infections http://purl.obolibrary.org/obo/MONDO_0024355
T11 735-744 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T12 772-780 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T13 855-864 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T14 952-960 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T15 1015-1024 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T16 1029-1052 Disease denotes streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T17 1043-1052 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T18 1074-1082 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T19 1108-1117 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T20 1201-1209 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T21 1352-1361 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T22 1397-1405 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T23 1457-1465 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T24 1533-1542 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T25 1686-1695 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T26 1765-1774 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T27 1809-1817 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T28 1940-1948 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T29 1998-2007 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T30 2033-2041 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T31 2099-2108 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T32 2214-2223 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T33 2252-2261 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T34 2353-2362 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T35 2444-2452 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T36 2520-2543 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T37 2534-2543 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T38 2668-2676 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T39 2816-2840 Disease denotes coronavirus disease-2019 http://purl.obolibrary.org/obo/MONDO_0100096
T40 2842-2850 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T41 2863-2872 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T42 2944-2972 Disease denotes respiratory tract infections http://purl.obolibrary.org/obo/MONDO_0024355
T43 2974-2997 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T44 2988-2997 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T45 3013-3022 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T46 3034-3054 Disease denotes bacterial infections http://purl.obolibrary.org/obo/MONDO_0005113
T47 3060-3083 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T48 3074-3083 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T49 3125-3147 Disease denotes respiratory infections http://purl.obolibrary.org/obo/MONDO_0024355
T50 3149-3158 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T51 3170-3193 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T52 3184-3193 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T53 3231-3240 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T54 3253-3261 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T55 3305-3314 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T56 3545-3554 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T57 3593-3602 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T58 3892-3902 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T59 4037-4045 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T60 4050-4059 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T61 4314-4337 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T62 4328-4337 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T63 4411-4431 Disease denotes Bacterial infections http://purl.obolibrary.org/obo/MONDO_0005113
T64 4461-4476 Disease denotes viral pneumonia http://purl.obolibrary.org/obo/MONDO_0006012
T65 4467-4476 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T66 4501-4524 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T67 4515-4524 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T68 4662-4671 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T69 4983-4991 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T70 5307-5315 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T71 5337-5346 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T72 5638-5646 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T73 5661-5670 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T74 5826-5834 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T75 5923-5932 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T76 5960-5968 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T77 6023-6032 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T78 6080-6088 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T79 6181-6190 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T80 6205-6213 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T81 6311-6320 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T82 6380-6388 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T83 6410-6438 Disease denotes respiratory tract infections http://purl.obolibrary.org/obo/MONDO_0024355
T84 6463-6471 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T85 6524-6533 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T86 6605-6614 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T87 6661-6669 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T88 6840-6849 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T89 7011-7019 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T90 7073-7082 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T91 7133-7142 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T92 7186-7194 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T93 7228-7236 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T94 7260-7269 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T95 7323-7332 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T96 7486-7495 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T97 7577-7586 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T98 7633-7642 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T99 7819-7828 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T100 8165-8174 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T101 8229-8237 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T102 8465-8474 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T103 8739-8748 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T104 8919-8928 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T105 9056-9064 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T106 9257-9259 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T107 9426-9428 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T108 9518-9520 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T109 9563-9565 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T110 9722-9731 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T111 9857-9866 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T112 11143-11152 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T113 11468-11476 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T114 11491-11500 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T115 11568-11577 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T116 11622-11630 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T117 11666-11668 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T118 11694-11696 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T119 12020-12022 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T120 12101-12103 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T121 12146-12148 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T122 12630-12632 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T123 12720-12722 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T124 12791-12800 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T125 13115-13124 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T126 14896-14898 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T127 14984-14993 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T128 15387-15396 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T129 15478-15487 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T130 16658-16667 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T131 16675-16703 Disease denotes Respiratory Tract Infections http://purl.obolibrary.org/obo/MONDO_0024355
T132 16709-16717 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T133 16861-16870 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T134 17121-17124 Disease denotes flu http://purl.obolibrary.org/obo/MONDO_0005812
T135 17335-17344 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T136 17623-17651 Disease denotes respiratory tract infections http://purl.obolibrary.org/obo/MONDO_0024355
T137 18427-18435 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T138 19007-19016 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T139 20123-20132 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T140 20134-20157 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T141 20148-20157 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T142 20174-20183 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T143 20309-20317 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T144 20466-20474 Disease denotes diabetes http://purl.obolibrary.org/obo/MONDO_0005015
T145 20504-20513 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T146 20954-20962 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T147 21377-21380 Disease denotes dis http://purl.obolibrary.org/obo/MONDO_0012621
T148 21735-21743 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T149 21799-21808 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T150 22171-22179 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T151 22362-22371 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T152 23186-23195 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T153 23547-23549 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T154 23851-23853 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T155 23870-23872 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T156 24082-24084 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T157 24333-24343 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T158 24545-24554 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T159 24767-24775 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T160 25294-25296 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T161 25387-25389 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T162 25889-25897 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T163 26073-26082 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T164 26392-26400 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T165 26443-26451 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T166 26493-26501 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T167 26517-26525 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T168 27106-27114 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T169 27116-27120 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T170 27136-27141 Disease denotes Ebola http://purl.obolibrary.org/obo/MONDO_0005737
T171 27152-27162 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T172 27318-27326 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T173 27354-27362 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T174 27378-27383 Disease denotes Ebola http://purl.obolibrary.org/obo/MONDO_0005737
T175 27466-27474 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T176 27485-27495 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T177 27528-27536 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T178 27555-27560 Disease denotes Ebola http://purl.obolibrary.org/obo/MONDO_0005737
T179 27922-27931 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T180 27946-27954 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T181 28179-28187 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T182 28188-28198 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T183 28385-28413 Disease denotes Respiratory Tract Infections http://purl.obolibrary.org/obo/MONDO_0024355
T184 28420-28444 Disease denotes Streptococcus pneumoniae http://purl.obolibrary.org/obo/MONDO_0005972
T185 28449-28458 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T186 28484-28493 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T187 28522-28550 Disease denotes respiratory tract infections http://purl.obolibrary.org/obo/MONDO_0024355
T188 28688-28711 Disease denotes infections, respiratory http://purl.obolibrary.org/obo/MONDO_0024355
T189 28745-28754 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T190 28755-28771 Disease denotes virus infections http://purl.obolibrary.org/obo/MONDO_0005108
T191 28831-28866 Disease denotes infections, Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005114
T192 28843-28866 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T193 28857-28866 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T194 28867-28877 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T195 28952-28975 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T196 28966-28975 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T197 28998-29007 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T198 30288-30297 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T199 30358-30367 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T200 30441-30450 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T201 30553-30581 Disease denotes respiratory tract infections http://purl.obolibrary.org/obo/MONDO_0024355
T202 30682-30690 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T203 30782-30790 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T204 30916-30925 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T205 30936-30964 Disease denotes respiratory tract infections http://purl.obolibrary.org/obo/MONDO_0024355
T206 31326-31357 Disease denotes respiratory tract infections in http://purl.obolibrary.org/obo/MONDO_0024355
T207 32137-32146 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T208 32826-32835 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T209 33292-33315 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T210 33306-33315 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T211 33326-33334 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T212 33385-33393 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T213 33880-33889 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T214 33982-33991 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T215 34268-34277 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T216 34420-34429 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T217 34623-34632 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T218 34743-34751 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T219 35135-35144 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T220 35294-35303 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T221 35319-35328 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T222 35487-35496 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T223 35761-35770 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T224 35847-35855 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T225 35879-35888 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T226 35926-35934 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T227 36027-36036 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T228 36134-36142 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T229 36389-36398 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T230 36421-36449 Disease denotes respiratory tract infections http://purl.obolibrary.org/obo/MONDO_0024355
T231 36590-36599 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T232 36658-36666 Disease denotes COVID 19 http://purl.obolibrary.org/obo/MONDO_0100096
T233 36908-36917 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T234 37178-37187 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T235 37309-37318 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T236 37374-37382 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T237 37453-37462 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T238 37505-37514 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T239 37604-37612 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T240 37877-37886 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T241 38011-38019 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T242 38020-38029 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T243 38052-38062 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T244 38118-38127 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T245 38176-38184 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T246 38456-38465 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T247 38758-38767 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T248 38962-38971 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T249 39035-39044 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T250 39067-39075 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T251 39118-39127 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T252 39172-39180 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T253 39261-39270 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T254 39329-39337 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T255 39615-39623 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T256 39660-39669 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T257 39703-39711 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T258 39774-39783 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T259 39828-39836 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T260 40167-40176 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T261 40285-40294 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T262 40330-40339 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T263 40569-40578 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T264 40583-40591 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T265 40880-40889 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T266 40928-40937 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T267 41055-41063 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T268 41092-41101 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T269 41142-41150 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T270 41236-41245 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T271 41283-41291 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T272 41538-41547 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T273 41588-41596 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T274 41662-41670 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T275 41733-41741 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T276 41779-41788 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T277 41958-41966 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T278 42024-42033 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T279 42218-42226 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T280 42286-42294 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T281 42305-42314 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T282 42346-42354 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T283 42369-42378 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T284 42523-42532 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T285 42569-42578 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T286 42594-42602 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T287 42613-42622 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T288 42722-42731 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T289 42813-42821 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T290 42842-42851 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T291 42861-42869 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T292 43074-43083 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T293 43125-43133 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T294 43144-43153 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T295 43392-43400 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T296 43412-43420 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T297 43431-43440 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T298 43485-43494 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T299 43583-43591 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T300 43602-43611 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T301 43635-43644 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T302 43794-43802 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T303 43813-43822 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T304 43861-43870 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T305 43944-43952 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T306 43990-43999 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T307 44183-44191 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T308 44249-44258 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T309 44426-44435 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T310 44458-44466 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T311 44552-44561 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T312 44598-44606 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T313 44617-44626 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T314 44691-44700 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T315 44705-44713 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T316 44748-44757 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T317 44777-44785 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T318 44796-44805 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T319 44831-44839 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T320 44850-44859 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T321 44934-44942 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T322 44992-45001 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T323 45274-45283 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T324 45326-45335 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T325 45386-45409 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T326 45400-45409 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T327 45419-45427 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T328 45540-45573 Disease denotes Streptococcus pneumonia infection http://purl.obolibrary.org/obo/MONDO_0005114
T329 45540-45563 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T330 45554-45563 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T331 45564-45573 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T332 45716-45724 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T333 45768-45795 Disease denotes respiratory tract infection http://purl.obolibrary.org/obo/MONDO_0024355
T334 45786-45795 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T335 45829-45845 Disease denotes viral infections http://purl.obolibrary.org/obo/MONDO_0005108
T336 45947-45981 Disease denotes Streptococcus pneumonia infections http://purl.obolibrary.org/obo/MONDO_0005114
T337 45947-45970 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T338 45961-45970 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T339 46106-46114 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T340 46439-46448 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T341 46572-46581 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T342 47238-47247 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T343 47301-47310 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T344 47372-47381 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T345 47386-47395 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T346 47496-47505 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T347 47925-47934 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T348 48018-48027 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T349 48035-48044 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T350 48154-48163 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T351 48170-48179 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T352 48262-48271 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T353 48579-48588 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T354 48739-48748 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T355 48848-48857 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T356 49088-49097 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T357 49241-49250 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T358 49647-49656 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T359 49839-49848 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T360 49963-49972 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T361 50232-50241 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T362 50384-50412 Disease denotes respiratory tract infections http://purl.obolibrary.org/obo/MONDO_0024355
T363 50664-50673 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T364 50794-50803 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T365 50820-50828 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T366 50858-50867 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T367 50896-50924 Disease denotes respiratory tract infections http://purl.obolibrary.org/obo/MONDO_0024355
T368 50940-50963 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T369 50954-50963 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T370 50990-50998 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T371 51051-51060 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T372 51166-51174 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T373 51543-51552 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T374 51831-51840 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T375 51956-51984 Disease denotes respiratory tract infections http://purl.obolibrary.org/obo/MONDO_0024355
T376 51988-51997 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T377 52036-52059 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T378 52050-52059 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T379 52187-52196 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T380 52263-52271 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T381 52350-52359 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T382 52393-52402 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T383 52429-52438 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T384 52686-52694 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T385 53087-53095 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T386 53191-53200 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T387 53236-53244 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T388 53303-53311 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T389 53380-53389 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T390 53437-53445 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T391 53523-53531 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T392 53573-53581 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T393 53640-53648 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T394 53801-53810 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T395 53850-53859 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T396 53906-53915 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T397 53957-53966 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T398 54120-54129 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T399 54296-54305 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T400 54472-54487 Disease denotes avian influenza http://purl.obolibrary.org/obo/MONDO_0018695
T401 54478-54487 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T402 54626-54635 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T403 54791-54800 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T404 54887-54896 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T405 54958-54967 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T406 55088-55097 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T407 55367-55376 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T408 55583-55592 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T409 55762-55771 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T410 55857-55866 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T411 56089-56098 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T412 56153-56162 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T413 56282-56291 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T414 56348-56357 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T415 56482-56490 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T416 56631-56639 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T417 56731-56740 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T418 57008-57017 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T419 57034-57042 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T420 57077-57079 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T421 57117-57119 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T422 57248-57250 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T423 57335-57337 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T424 57782-57790 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T425 57901-57910 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T426 57927-57935 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T427 58294-58302 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T428 58832-58859 Disease denotes respiratory tract infection http://purl.obolibrary.org/obo/MONDO_0024355
T429 58850-58859 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T430 58947-58970 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T431 58961-58970 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T432 59617-59625 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T433 59904-59912 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T434 59992-60000 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T435 60155-60164 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T436 60385-60393 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T437 60408-60417 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T438 60456-60464 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T439 60484-60493 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T440 60536-60545 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T441 60579-60607 Disease denotes respiratory tract infections http://purl.obolibrary.org/obo/MONDO_0024355
T442 60751-60760 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T443 60961-60969 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T444 61421-61425 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T445 61431-61441 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T446 61555-61571 Disease denotes immunodeficiency http://purl.obolibrary.org/obo/MONDO_0021094
T447 61602-61613 Disease denotes hepatitis C http://purl.obolibrary.org/obo/MONDO_0005231
T448 61602-61611 Disease denotes hepatitis http://purl.obolibrary.org/obo/MONDO_0002251
T449 61681-61697 Disease denotes immunodeficiency http://purl.obolibrary.org/obo/MONDO_0021094
T450 61739-61743 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T451 61878-61886 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T452 61973-61981 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T453 61984-61994 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T454 62040-62048 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T455 62418-62433 Disease denotes swine influenza http://purl.obolibrary.org/obo/MONDO_0005460
T456 62424-62433 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T457 62549-62558 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T458 62886-62894 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T459 63214-63222 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T460 63370-63378 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T461 63405-63413 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T462 63577-63586 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T463 63591-63614 Disease denotes Streptococcus pneumonia http://purl.obolibrary.org/obo/MONDO_0005972
T464 63605-63614 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T465 63713-63721 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T466 63808-63816 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T467 64384-64393 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T468 64486-64495 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T469 64650-64659 Disease denotes Influenza http://purl.obolibrary.org/obo/MONDO_0005812
T470 64690-64693 Disease denotes flu http://purl.obolibrary.org/obo/MONDO_0005812
T471 64913-64921 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T472 64986-64996 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T473 65026-65035 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 121-131 http://purl.obolibrary.org/obo/BFO_0000030 denotes objectives
T2 246-247 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T3 288-289 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T4 572-595 http://purl.obolibrary.org/obo/UBERON_0001558 denotes lower respiratory tract
T5 649-672 http://purl.obolibrary.org/obo/UBERON_0001558 denotes lower respiratory tract
T6 783-790 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T7 885-887 http://purl.obolibrary.org/obo/CLO_0001302 denotes 34
T8 1300-1301 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T9 1435-1436 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T10 1734-1735 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T11 1976-1977 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T12 2620-2621 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T13 2722-2723 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T14 2873-2880 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T15 2904-2911 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T16 2938-2961 http://purl.obolibrary.org/obo/UBERON_0001558 denotes lower respiratory tract
T17 3096-3097 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T18 3241-3248 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T19 3264-3271 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T20 3409-3413 http://purl.obolibrary.org/obo/OGG_0000000002 denotes gene
T21 3509-3517 http://purl.obolibrary.org/obo/UBERON_0000158 denotes membrane
T22 3555-3562 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T23 3575-3579 http://purl.obolibrary.org/obo/GO_0005623 denotes cell
T24 3603-3604 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T25 3612-3619 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T26 3654-3658 http://purl.obolibrary.org/obo/UBERON_0002048 denotes lung
T27 3654-3658 http://www.ebi.ac.uk/efo/EFO_0000934 denotes lung
T28 3700-3705 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T29 3803-3808 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T30 3944-3948 http://purl.obolibrary.org/obo/UBERON_0002048 denotes lung
T31 3944-3948 http://www.ebi.ac.uk/efo/EFO_0000934 denotes lung
T32 4312-4313 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T33 4355-4356 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T34 4478-4480 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T35 4499-4500 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T36 4746-4758 http://purl.obolibrary.org/obo/OBI_0000245 denotes organization
T37 5392-5397 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T38 5483-5488 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T39 5550-5555 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T40 6132-6138 http://purl.obolibrary.org/obo/CL_0000236 denotes B-cell
T41 6191-6192 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T42 6193-6200 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T43 6404-6427 http://purl.obolibrary.org/obo/UBERON_0001558 denotes lower respiratory tract
T44 6693-6694 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T45 7100-7101 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T46 7433-7434 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T47 8685-8686 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T48 8855-8856 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T49 9272-9273 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T50 9335-9340 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T51 9582-9583 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T52 9600-9601 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T53 10238-10240 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T54 10601-10603 http://purl.obolibrary.org/obo/CLO_0053794 denotes 41
T55 10605-10607 http://purl.obolibrary.org/obo/CLO_0001407 denotes 52
T56 10667-10669 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T57 10697-10699 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T58 10701-10703 http://purl.obolibrary.org/obo/CLO_0053799 denotes 45
T59 10705-10707 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T60 10994-10996 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T61 11048-11054 http://purl.obolibrary.org/obo/NCBITaxon_9005 denotes Turkey
T62 11056-11058 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T63 11099-11101 http://purl.obolibrary.org/obo/CLO_0001302 denotes 34
T64 11254-11255 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T65 11275-11276 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T66 11282-11284 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T67 11341-11346 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T68 11362-11364 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T69 11530-11531 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T70 11648-11650 http://purl.obolibrary.org/obo/CLO_0001236 denotes 2A
T71 11954-11955 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T72 12132-12133 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T73 12222-12223 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T74 12477-12478 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T75 12516-12517 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T76 12699-12704 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T77 12903-12904 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T78 12923-12924 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T79 13203-13204 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T80 13223-13224 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T81 13328-13330 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T82 13486-13487 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T83 13493-13495 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T84 13528-13533 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T85 13546-13547 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T86 13590-13595 http://purl.obolibrary.org/obo/UBERON_0000473 denotes Tests
T87 13647-13654 http://purl.obolibrary.org/obo/UBERON_0000473 denotes testing
T88 13718-13723 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T89 13805-13810 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T90 13907-13912 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T91 13938-13939 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T92 14219-14221 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T93 14278-14279 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T94 14348-14353 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T95 14377-14378 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T96 15109-15114 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T97 15139-15140 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T98 15160-15161 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T99 15241-15243 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T100 15312-15317 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T101 15502-15507 http://purl.obolibrary.org/obo/UBERON_0000473 denotes Tests
T102 16047-16049 http://purl.obolibrary.org/obo/CLO_0001407 denotes 52
T103 16138-16140 http://purl.obolibrary.org/obo/CLO_0053799 denotes 45
T104 16418-16420 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T105 16473-16479 http://purl.obolibrary.org/obo/NCBITaxon_9005 denotes Turkey
T106 16569-16574 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T107 16591-16592 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T108 16649-16650 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T109 16651-16654 http://purl.obolibrary.org/obo/CLO_0002755 denotes D,F
T110 16669-16692 http://purl.obolibrary.org/obo/UBERON_0001558 denotes Lower Respiratory Tract
T111 16758-16759 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T112 16795-16796 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T113 16810-16811 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T114 16902-16903 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T115 16970-16976 http://purl.obolibrary.org/obo/NCBITaxon_9005 denotes Turkey
T116 17348-17354 http://purl.obolibrary.org/obo/NCBITaxon_9005 denotes Turkey
T117 17597-17598 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T118 17617-17640 http://purl.obolibrary.org/obo/UBERON_0001558 denotes lower respiratory tract
T119 17883-17886 http://purl.obolibrary.org/obo/CLO_0001180 denotes 203
T120 18539-18545 http://purl.obolibrary.org/obo/NCBITaxon_9005 denotes Turkey
T121 18617-18620 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T122 18764-18767 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T123 18886-18889 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T124 19073-19075 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T125 19097-19099 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T126 19245-19246 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T127 19272-19274 http://purl.obolibrary.org/obo/CLO_0001407 denotes 52
T128 19668-19674 http://purl.obolibrary.org/obo/CLO_0001759 denotes at ~31
T129 20340-20341 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T130 20391-20392 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T131 20536-20538 http://purl.obolibrary.org/obo/CLO_0054055 denotes 71
T132 20794-20796 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T133 20831-20833 http://purl.obolibrary.org/obo/CLO_0001382 denotes 48
T134 20849-20852 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T135 20930-20931 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T136 21069-21071 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T137 21083-21084 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T138 21085-21089 http://purl.obolibrary.org/obo/UBERON_0000033 denotes head
T139 21085-21089 http://www.ebi.ac.uk/efo/EFO_0000964 denotes head
T140 21093-21097 http://purl.obolibrary.org/obo/UBERON_0000033 denotes head
T141 21093-21097 http://www.ebi.ac.uk/efo/EFO_0000964 denotes head
T142 21584-21586 http://purl.obolibrary.org/obo/CLO_0007874 denotes MS
T143 22081-22084 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T144 22331-22332 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T145 22385-22386 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T146 22505-22506 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T147 22608-22610 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T148 22688-22689 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T149 22773-22774 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T150 22891-22892 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T151 23128-23129 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T152 23285-23286 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T153 23305-23306 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T154 23314-23316 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T155 23370-23372 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T156 23607-23608 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T157 23711-23713 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T158 23763-23769 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T159 23795-23796 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T160 23942-23943 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T161 24034-24035 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T162 24114-24116 http://purl.obolibrary.org/obo/CLO_0050050 denotes S1
T163 24673-24674 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T164 24693-24694 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T165 24734-24736 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T166 24866-24871 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T167 25076-25077 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T168 25183-25190 http://www.ebi.ac.uk/efo/EFO_0000876 denotes extreme
T169 25267-25268 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T170 25323-25328 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T171 25351-25353 http://purl.obolibrary.org/obo/CLO_0008922 denotes S2
T172 25351-25353 http://purl.obolibrary.org/obo/CLO_0050052 denotes S2
T173 25407-25409 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T174 25441-25448 http://purl.obolibrary.org/obo/UBERON_0000473 denotes testing
T175 25545-25550 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T176 25738-25743 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T177 25762-25763 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T178 25985-25987 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T179 26228-26234 http://purl.obolibrary.org/obo/CL_0000084 denotes T-cell
T180 26414-26420 http://purl.obolibrary.org/obo/CL_0000084 denotes T-cell
T181 26536-26539 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T182 26650-26651 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T183 26857-26860 http://purl.obolibrary.org/obo/PR_000001343 denotes aim
T184 26893-26894 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T185 27001-27006 http://purl.obolibrary.org/obo/OGG_0000000002 denotes genes
T186 27165-27167 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T187 27194-27196 http://purl.obolibrary.org/obo/CLO_0050050 denotes S1
T188 27208-27212 http://purl.obolibrary.org/obo/OGG_0000000002 denotes gene
T189 27337-27339 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T190 27384-27391 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T191 27417-27422 http://purl.obolibrary.org/obo/OGG_0000000002 denotes genes
T192 27547-27550 http://purl.obolibrary.org/obo/CLO_0001046 denotes 116
T193 27561-27568 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T194 27570-27572 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T195 27595-27599 http://purl.obolibrary.org/obo/OGG_0000000002 denotes gene
T196 27641-27646 http://purl.obolibrary.org/obo/OGG_0000000002 denotes genes
T197 27719-27720 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T198 27726-27730 http://purl.obolibrary.org/obo/CLO_0050768 denotes TLR2
T199 27789-27791 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T200 27822-27824 http://purl.obolibrary.org/obo/CLO_0050050 denotes S1
T201 27831-27837 http://purl.obolibrary.org/obo/CL_0000084 denotes T-cell
T202 27842-27848 http://purl.obolibrary.org/obo/CL_0000236 denotes B-cell
T203 27932-27933 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T204 27934-27941 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T205 27978-27987 http://purl.obolibrary.org/obo/OBI_0100026 denotes organisms
T206 27978-27987 http://purl.obolibrary.org/obo/UBERON_0000468 denotes organisms
T207 27999-28002 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T208 28051-28060 http://purl.obolibrary.org/obo/OBI_0100026 denotes organisms
T209 28051-28060 http://purl.obolibrary.org/obo/UBERON_0000468 denotes organisms
T210 28162-28166 http://purl.obolibrary.org/obo/OGG_0000000002 denotes gene
T211 28379-28402 http://purl.obolibrary.org/obo/UBERON_0001558 denotes Lower Respiratory Tract
T212 28459-28466 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes Viruses
T213 28516-28539 http://purl.obolibrary.org/obo/UBERON_0001558 denotes lower respiratory tract
T214 28664-28687 http://purl.obolibrary.org/obo/UBERON_0001558 denotes lower respiratory tract
T215 28722-28729 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T216 28755-28760 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T217 29008-29013 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T218 29058-29063 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T219 29122-29123 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T220 29355-29358 http://purl.obolibrary.org/obo/CLO_0054057 denotes 181
T221 29873-29875 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T222 30140-30149 http://purl.obolibrary.org/obo/OBI_0000245 denotes organized
T223 30451-30458 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T224 30547-30570 http://purl.obolibrary.org/obo/UBERON_0001558 denotes lower respiratory tract
T225 31151-31154 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T226 31155-31156 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T227 31216-31217 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T228 31320-31343 http://purl.obolibrary.org/obo/UBERON_0001558 denotes lower respiratory tract
T229 31389-31391 http://purl.obolibrary.org/obo/CLO_0053799 denotes 45
T230 31891-31898 http://purl.obolibrary.org/obo/UBERON_0000473 denotes testing
T231 32054-32055 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T232 32413-32414 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T233 32740-32741 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T234 32973-32976 http://purl.obolibrary.org/obo/CLO_0001376 denotes 464
T235 32973-32976 http://purl.obolibrary.org/obo/CLO_0001378 denotes 464
T236 33032-33034 http://purl.obolibrary.org/obo/CLO_0001313 denotes 36
T237 33250-33251 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T238 33290-33291 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T239 33772-33773 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T240 33854-33855 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T241 34237-34240 http://purl.obolibrary.org/obo/CLO_0001320 denotes 381
T242 34237-34240 http://purl.obolibrary.org/obo/CLO_0001321 denotes 381
T243 34247-34248 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T244 34501-34504 http://purl.obolibrary.org/obo/CLO_0054061 denotes 132
T245 34521-34524 http://purl.obolibrary.org/obo/CLO_0001003 denotes 163
T246 35236-35239 http://purl.obolibrary.org/obo/CLO_0054060 denotes 102
T247 35282-35285 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T248 35286-35287 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T249 35430-35433 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T250 35480-35483 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T251 35553-35556 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T252 35649-35652 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T253 35728-35729 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T254 36415-36438 http://purl.obolibrary.org/obo/UBERON_0001558 denotes lower respiratory tract
T255 36649-36650 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T256 36851-36854 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T257 36884-36885 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T258 37215-37218 http://purl.obolibrary.org/obo/CLO_0054057 denotes 181
T259 37358-37361 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T260 37623-37626 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T261 38269-38272 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T262 38278-38279 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T263 38392-38394 http://purl.obolibrary.org/obo/CLO_0054055 denotes 71
T264 38421-38424 http://purl.obolibrary.org/obo/CLO_0054061 denotes 132
T265 38600-38601 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T266 38917-38918 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T267 39307-39308 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T268 40091-40094 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T269 40190-40191 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T270 40256-40262 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T271 40422-40423 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T272 40462-40463 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T273 41363-41364 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T274 41389-41390 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T275 41499-41500 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T276 41956-41957 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T277 42410-42411 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T278 42459-42461 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T279 42477-42478 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T280 42659-42660 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T281 42782-42783 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T282 44407-44409 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T283 44725-44726 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T284 44932-44933 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T285 45032-45033 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T286 45137-45139 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T287 45202-45203 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T288 45213-45214 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T289 45354-45355 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T290 45663-45664 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T291 46062-46063 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T292 46418-46419 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T293 46612-46615 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T294 46912-46914 http://purl.obolibrary.org/obo/CLO_0008933 denotes S5
T295 47138-47139 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T296 47406-47407 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T297 48055-48058 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T298 48190-48193 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T299 48253-48254 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T300 48331-48332 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T301 48462-48464 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T302 48532-48534 http://purl.obolibrary.org/obo/CLO_0008922 denotes S2
T303 48532-48534 http://purl.obolibrary.org/obo/CLO_0050052 denotes S2
T304 48669-48671 http://purl.obolibrary.org/obo/CLO_0008935 denotes S9
T305 48892-48893 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T306 48946-48947 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T307 49128-49129 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T308 49399-49400 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T309 50110-50111 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T310 50336-50337 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T311 50378-50401 http://purl.obolibrary.org/obo/UBERON_0001558 denotes Lower respiratory tract
T312 50509-50510 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T313 50625-50627 http://purl.obolibrary.org/obo/CLO_0050050 denotes S1
T314 50711-50712 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T315 50756-50757 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T316 50890-50913 http://purl.obolibrary.org/obo/UBERON_0001558 denotes lower respiratory tract
T317 51226-51227 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T318 51335-51336 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T319 51518-51524 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tested
T320 51612-51615 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T321 51791-51793 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T322 51810-51811 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T323 51931-51932 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T324 51950-51973 http://purl.obolibrary.org/obo/UBERON_0001558 denotes lower respiratory tract
T325 52034-52035 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T326 52120-52121 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T327 52236-52237 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T328 52323-52324 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T329 53099-53100 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T330 53169-53170 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T331 53208-53209 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T332 53283-53284 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T333 53582-53587 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T334 53649-53654 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T335 53731-53732 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T336 54204-54208 http://purl.obolibrary.org/obo/CLO_0001185 denotes 2018
T337 54397-54398 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T338 54587-54590 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T339 54591-54592 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T340 54747-54748 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T341 55118-55121 http://purl.obolibrary.org/obo/CL_0000990 denotes CDC
T342 55346-55347 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T343 55402-55403 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T344 55507-55508 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T345 55622-55626 http://purl.obolibrary.org/obo/CLO_0001185 denotes 2018
T346 55949-55951 http://purl.obolibrary.org/obo/CLO_0001313 denotes 36
T347 56078-56079 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T348 56124-56127 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T349 56128-56129 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T350 56212-56218 http://purl.obolibrary.org/obo/NCBITaxon_9005 denotes Turkey
T351 56760-56761 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T352 56938-56939 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T353 56964-56966 http://purl.obolibrary.org/obo/CLO_0001302 denotes 34
T354 56977-56978 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T355 57161-57162 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T356 57359-57361 http://purl.obolibrary.org/obo/CLO_0001302 denotes 34
T357 57741-57742 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T358 57870-57871 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T359 58133-58134 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T360 58232-58233 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T361 58355-58357 http://purl.obolibrary.org/obo/CLO_0001000 denotes 35
T362 58358-58360 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T363 58624-58625 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T364 58826-58849 http://purl.obolibrary.org/obo/UBERON_0001558 denotes lower respiratory tract
T365 58945-58946 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T366 59070-59072 http://purl.obolibrary.org/obo/CLO_0001313 denotes 36
T367 59075-59076 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T368 59129-59130 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T369 59150-59154 http://purl.obolibrary.org/obo/UBERON_0001456 denotes face
T370 59221-59222 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T371 59255-59256 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T372 59394-59395 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T373 59396-59401 http://purl.obolibrary.org/obo/CLO_0009985 denotes focus
T374 59733-59734 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T375 60126-60127 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T376 60214-60215 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T377 60246-60249 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T378 60340-60341 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T379 60375-60376 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T380 60573-60596 http://purl.obolibrary.org/obo/UBERON_0001558 denotes lower respiratory tract
T381 60839-60841 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T382 60844-60846 http://purl.obolibrary.org/obo/CLO_0001302 denotes 34
T383 61066-61079 http://purl.obolibrary.org/obo/UBERON_0002405 denotes immune system
T384 61193-61206 http://purl.obolibrary.org/obo/UBERON_0002405 denotes immune system
T385 61210-61211 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T386 61261-61274 http://purl.obolibrary.org/obo/UBERON_0002405 denotes immune system
T387 61319-61320 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T388 61403-61416 http://purl.obolibrary.org/obo/UBERON_0002405 denotes immune system
T389 61528-61533 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T390 61549-61554 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T391 61572-61579 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T392 61614-61621 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T393 61623-61625 http://purl.obolibrary.org/obo/CLO_0053794 denotes 41
T394 61675-61680 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T395 61698-61703 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T396 61775-61778 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T397 61779-61780 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T398 61889-61894 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T399 62147-62148 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T400 62182-62183 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T401 62225-62227 http://purl.obolibrary.org/obo/CLO_0053799 denotes 45
T402 62266-62272 http://purl.obolibrary.org/obo/UBERON_0001969 denotes plasma
T403 62276-62277 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T404 62434-62439 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T405 62459-62464 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T406 62465-62470 http://purl.obolibrary.org/obo/OGG_0000000002 denotes genes
T407 62471-62474 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T408 62517-62518 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T409 62543-62548 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T410 62787-62789 http://purl.obolibrary.org/obo/CLO_0001382 denotes 48
T411 62897-62904 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T412 62926-62927 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T413 63013-63020 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes viruses
T414 63232-63233 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T415 63476-63481 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T416 64269-64270 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T417 64576-64578 http://purl.obolibrary.org/obo/CLO_0037161 denotes en
T418 64642-64646 http://purl.obolibrary.org/obo/CLO_0001185 denotes 2018
T419 64850-64854 http://purl.obolibrary.org/obo/UBERON_0000473 denotes test
T420 64975-64977 http://purl.obolibrary.org/obo/CLO_0037161 denotes EN
T421 65121-65123 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 3387-3397 Chemical denotes interferon http://purl.obolibrary.org/obo/CHEBI_52999
T2 3459-3466 Chemical denotes protein http://purl.obolibrary.org/obo/CHEBI_36080
T3 3525-3533 Chemical denotes proteins http://purl.obolibrary.org/obo/CHEBI_36080
T4 3858-3869 Chemical denotes sialic acid http://purl.obolibrary.org/obo/CHEBI_26667
T5 3865-3869 Chemical denotes acid http://purl.obolibrary.org/obo/CHEBI_37527
T6 14024-14026 Chemical denotes 5B http://purl.obolibrary.org/obo/CHEBI_27560
T7 21584-21586 Chemical denotes MS http://purl.obolibrary.org/obo/CHEBI_73613
T8 24314-24320 Chemical denotes oxygen http://purl.obolibrary.org/obo/CHEBI_25805
T9 25351-25353 Chemical denotes S2 http://purl.obolibrary.org/obo/CHEBI_29387
T10 25692-25697 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T11 26323-26328 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T12 27048-27055 Chemical denotes protein http://purl.obolibrary.org/obo/CHEBI_36080
T13 27056-27063 Chemical denotes protein http://purl.obolibrary.org/obo/CHEBI_36080
T14 27077-27080 Chemical denotes PPI http://purl.obolibrary.org/obo/CHEBI_53266|http://purl.obolibrary.org/obo/CHEBI_60614
T16 27579-27582 Chemical denotes PPI http://purl.obolibrary.org/obo/CHEBI_53266|http://purl.obolibrary.org/obo/CHEBI_60614
T18 27676-27678 Chemical denotes IL http://purl.obolibrary.org/obo/CHEBI_63895|http://purl.obolibrary.org/obo/CHEBI_74072
T20 33455-33458 Chemical denotes Man http://purl.obolibrary.org/obo/CHEBI_37684
T21 34874-34878 Chemical denotes Rest http://purl.obolibrary.org/obo/CHEBI_24433
T22 35276-35281 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T23 35805-35810 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T24 38359-38368 Chemical denotes indicator http://purl.obolibrary.org/obo/CHEBI_47867
T25 46326-46328 Chemical denotes S3 http://purl.obolibrary.org/obo/CHEBI_29388
T26 46750-46752 Chemical denotes S3 http://purl.obolibrary.org/obo/CHEBI_29388
T27 46875-46877 Chemical denotes S4 http://purl.obolibrary.org/obo/CHEBI_29401
T28 46912-46914 Chemical denotes S5 http://purl.obolibrary.org/obo/CHEBI_29386
T29 47538-47540 Chemical denotes S8 http://purl.obolibrary.org/obo/CHEBI_29385
T30 48532-48534 Chemical denotes S2 http://purl.obolibrary.org/obo/CHEBI_29387
T15297 54574-54576 Chemical denotes S3 http://purl.obolibrary.org/obo/CHEBI_29388
T94939 58338-58343 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T95635 58443-58448 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T57629 58507-58512 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T88902 60043-60048 Chemical denotes group http://purl.obolibrary.org/obo/CHEBI_24433
T51698 61426-61428 Chemical denotes Co http://purl.obolibrary.org/obo/CHEBI_27638
T32951 61756-61764 Chemical denotes proteins http://purl.obolibrary.org/obo/CHEBI_36080
T99114 62080-62089 Chemical denotes maraviroc http://purl.obolibrary.org/obo/CHEBI_63608
T47756 62163-62170 Chemical denotes protein http://purl.obolibrary.org/obo/CHEBI_36080
T3144 62186-62193 Chemical denotes protein http://purl.obolibrary.org/obo/CHEBI_36080
T58550 62350-62352 Chemical denotes G4 http://purl.obolibrary.org/obo/CHEBI_50653
T85689 62354-62356 Chemical denotes EA http://purl.obolibrary.org/obo/CHEBI_73849
T44681 62407-62409 Chemical denotes G4 http://purl.obolibrary.org/obo/CHEBI_50653
T40086 62410-62412 Chemical denotes EA http://purl.obolibrary.org/obo/CHEBI_73849
T15 63112-63119 Chemical denotes protein http://purl.obolibrary.org/obo/CHEBI_36080
T75064 63958-63960 Chemical denotes MA http://purl.obolibrary.org/obo/CHEBI_474859|http://purl.obolibrary.org/obo/CHEBI_73610|http://purl.obolibrary.org/obo/CHEBI_90325
T19 64576-64578 Chemical denotes en http://purl.obolibrary.org/obo/CHEBI_30347

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id tao:has_standard_notation
2 45-53 Disease denotes COVID-19 MESH:C000657245
3 79-88 Disease denotes Mortality MESH:D003643
19 372-376 Species denotes H1N1 Tax:114727
20 515-519 Species denotes H1N1 Tax:114727
21 772-782 Species denotes SARS-CoV-2 Tax:2697049
22 504-513 Species denotes influenza Tax:11320
23 619-628 Species denotes influenza Tax:11320
24 735-744 Species denotes influenza Tax:11320
25 149-157 Disease denotes COVID-19 MESH:C000657245
26 212-221 Disease denotes mortality MESH:D003643
27 362-370 Disease denotes COVID-19 MESH:C000657245
28 381-404 Disease denotes Streptococcus pneumonia MESH:D011014
29 491-499 Disease denotes COVID-19 MESH:C000657245
30 578-606 Disease denotes respiratory tract infections MESH:D012141
31 655-683 Disease denotes respiratory tract infections MESH:D012141
32 700-708 Disease denotes Covid-19 MESH:C000657245
33 709-718 Disease denotes mortality MESH:D003643
47 855-864 Species denotes influenza Tax:11320
48 1015-1024 Species denotes influenza Tax:11320
49 1108-1117 Species denotes influenza Tax:11320
50 1352-1361 Species denotes influenza Tax:11320
51 952-960 Disease denotes COVID-19 MESH:C000657245
52 961-970 Disease denotes mortality MESH:D003643
53 1029-1052 Disease denotes streptococcus pneumonia MESH:D011014
54 1074-1082 Disease denotes COVID-19 MESH:C000657245
55 1083-1092 Disease denotes mortality MESH:D003643
56 1201-1209 Disease denotes COVID-19 MESH:C000657245
57 1210-1215 Disease denotes death MESH:D003643
58 1397-1405 Disease denotes COVID-19 MESH:C000657245
59 1406-1415 Disease denotes mortality MESH:D003643
76 1533-1542 Species denotes influenza Tax:11320
77 1686-1695 Species denotes influenza Tax:11320
78 1765-1774 Species denotes influenza Tax:11320
79 1998-2007 Species denotes influenza Tax:11320
80 2099-2108 Species denotes influenza Tax:11320
81 2214-2223 Species denotes influenza Tax:11320
82 2252-2261 Species denotes influenza Tax:11320
83 1457-1465 Disease denotes COVID-19 MESH:C000657245
84 1474-1483 Disease denotes mortality MESH:D003643
85 1809-1817 Disease denotes COVID-19 MESH:C000657245
86 1940-1948 Disease denotes COVID-19 MESH:C000657245
87 1949-1958 Disease denotes mortality MESH:D003643
88 2033-2041 Disease denotes COVID-19 MESH:C000657245
89 2042-2051 Disease denotes mortality MESH:D003643
90 2195-2203 Disease denotes Covid-19 MESH:C000657245
91 2204-2213 Disease denotes mortality MESH:D003643
96 2364-2368 Species denotes H1N1 Tax:114727
97 2353-2362 Species denotes Influenza Tax:11320
98 2444-2452 Disease denotes COVID-19 MESH:C000657245
99 2520-2543 Disease denotes Streptococcus pneumonia MESH:D011014
115 2863-2880 Species denotes influenza viruses Tax:11308
116 3160-3164 Species denotes H1N1 Tax:114727
117 2882-2893 Species denotes respiratory Tax:12814
118 3013-3022 Species denotes influenza Tax:11320
119 3149-3158 Species denotes Influenza Tax:11320
120 2668-2676 Disease denotes COVID-19 MESH:C000657245
121 2803-2812 Disease denotes mortality MESH:D003643
122 2816-2840 Disease denotes coronavirus disease-2019 MESH:C000657245
123 2842-2850 Disease denotes COVID-19 MESH:C000657245
124 2944-2972 Disease denotes respiratory tract infections MESH:D012141
125 2974-2997 Disease denotes Streptococcus pneumonia MESH:D011014
126 3044-3054 Disease denotes infections MESH:D007239
127 3060-3083 Disease denotes Streptococcus pneumonia MESH:D011014
128 3125-3147 Disease denotes respiratory infections MESH:D012141
129 3170-3193 Disease denotes Streptococcus pneumonia MESH:D011014
145 3453-3458 Gene denotes spike Gene:43740568
146 3631-3636 Gene denotes ACE-2 Gene:59272
147 3924-3929 Gene denotes ACE-2 Gene:59272
148 3960-3973 Gene denotes neuraminidase Gene:4758
149 3231-3248 Species denotes influenza viruses Tax:11308
150 3253-3263 Species denotes SARS-CoV-2 Tax:2697049
151 3319-3332 Species denotes coronaviruses Tax:11118
152 3545-3562 Species denotes influenza viruses Tax:11308
153 3887-3891 Species denotes H1N1 Tax:114727
154 3305-3314 Species denotes influenza Tax:11320
155 3593-3602 Species denotes influenza Tax:11320
156 4050-4059 Species denotes influenza Tax:11320
157 3858-3869 Chemical denotes sialic acid MESH:D019158
158 3892-3902 Disease denotes infections MESH:D007239
159 4037-4045 Disease denotes COVID-19 MESH:C000657245
164 4314-4337 Disease denotes Streptococcus pneumonia MESH:D011014
165 4421-4431 Disease denotes infections MESH:D007239
166 4461-4476 Disease denotes viral pneumonia
167 4501-4524 Disease denotes Streptococcus pneumonia MESH:D011014
173 5028-5039 Species denotes coronavirus Tax:11118
174 5122-5130 Species denotes patients Tax:9606
175 4662-4671 Species denotes influenza Tax:11320
176 4983-4991 Disease denotes COVID-19 MESH:C000657245
177 5057-5066 Disease denotes mortality MESH:D003643
193 5794-5798 Gene denotes ship Gene:3635
194 5599-5607 Species denotes patients Tax:9606
195 5337-5346 Species denotes influenza Tax:11320
196 5661-5670 Species denotes influenza Tax:11320
197 5923-5932 Species denotes influenza Tax:11320
198 6023-6032 Species denotes influenza Tax:11320
199 6181-6190 Species denotes influenza Tax:11320
200 5270-5279 Disease denotes mortality MESH:D003643
201 5307-5315 Disease denotes COVID-19 MESH:C000657245
202 5638-5646 Disease denotes COVID-19 MESH:C000657245
203 5647-5656 Disease denotes mortality MESH:D003643
204 5826-5834 Disease denotes COVID-19 MESH:C000657245
205 5960-5968 Disease denotes COVID-19 MESH:C000657245
206 6080-6088 Disease denotes COVID-19 MESH:C000657245
207 6205-6213 Disease denotes COVID-19 MESH:C000657245
225 6311-6320 Species denotes influenza Tax:11320
226 6524-6533 Species denotes influenza Tax:11320
227 6605-6614 Species denotes influenza Tax:11320
228 6840-6849 Species denotes Influenza Tax:11320
229 7073-7082 Species denotes influenza Tax:11320
230 7133-7142 Species denotes influenza Tax:11320
231 6380-6388 Disease denotes COVID-19 MESH:C000657245
232 6389-6398 Disease denotes mortality MESH:D003643
233 6410-6438 Disease denotes respiratory tract infections MESH:D012141
234 6463-6471 Disease denotes COVID-19 MESH:C000657245
235 6472-6477 Disease denotes death MESH:D003643
236 6661-6669 Disease denotes COVID-19 MESH:C000657245
237 6891-6900 Disease denotes mortality MESH:D003643
238 7011-7019 Disease denotes COVID-19 MESH:C000657245
239 7020-7029 Disease denotes mortality MESH:D003643
240 7186-7194 Disease denotes COVID-19 MESH:C000657245
241 7195-7204 Disease denotes mortality MESH:D003643
244 7260-7269 Species denotes Influenza Tax:11320
245 7228-7236 Disease denotes COVID-19 MESH:C000657245
260 8208-8211 Gene denotes S18 Gene:6222
261 7738-7741 Gene denotes S17 Gene:6218
262 7323-7332 Species denotes influenza Tax:11320
263 7486-7495 Species denotes influenza Tax:11320
264 7577-7586 Species denotes influenza Tax:11320
265 7633-7642 Species denotes influenza Tax:11320
266 7819-7828 Species denotes influenza Tax:11320
267 8165-8174 Species denotes influenza Tax:11320
268 8465-8474 Species denotes Influenza Tax:11320
269 7413-7422 Disease denotes mortality MESH:D003643
270 7698-7707 Disease denotes mortality MESH:D003643
271 7768-7777 Disease denotes mortality MESH:D003643
272 8229-8237 Disease denotes COVID-19 MESH:C000657245
273 8238-8247 Disease denotes mortality MESH:D003643
277 8739-8748 Species denotes influenza Tax:11320
278 8919-8928 Species denotes influenza Tax:11320
279 8959-8968 Disease denotes mortality MESH:D003643
281 9056-9064 Disease denotes COVID-19 MESH:C000657245
283 9136-9147 Species denotes coronavirus Tax:11118
288 11048-11054 Species denotes Turkey Tax:9103
289 9857-9866 Species denotes influenza Tax:11320
290 9819-9828 Disease denotes Mortality MESH:D003643
291 10658-10665 Disease denotes Estonia
295 9710-9717 Species denotes patient Tax:9606
296 9722-9731 Species denotes influenza Tax:11320
297 9671-9680 Disease denotes mortality MESH:D003643
299 11143-11152 Species denotes influenza Tax:11320
303 11491-11500 Species denotes Influenza Tax:11320
304 11468-11476 Disease denotes COVID-19 MESH:C000657245
305 11477-11486 Disease denotes Mortality MESH:D003643
317 11568-11577 Species denotes influenza Tax:11320
318 11605-11614 Disease denotes mortality MESH:D003643
319 11622-11630 Disease denotes COVID-19 MESH:C000657245
320 11772-11781 Disease denotes mortality MESH:D003643
321 11802-11811 Disease denotes mortality MESH:D003643
322 11878-11887 Disease denotes mortality MESH:D003643
323 11990-11999 Disease denotes mortality MESH:D003643
324 12192-12201 Disease denotes mortality MESH:D003643
325 12209-12218 Disease denotes mortality MESH:D003643
326 12495-12504 Disease denotes mortality MESH:D003643
327 12554-12563 Disease denotes mortality MESH:D003643
330 12791-12800 Species denotes influenza Tax:11320
331 12845-12854 Disease denotes mortality MESH:D003643
334 13115-13124 Species denotes influenza Tax:11320
335 13154-13160 Disease denotes deaths MESH:D003643
337 13425-13430 Disease denotes death MESH:D003643
341 13829-13835 Species denotes people Tax:9606
342 14720-14729 Disease denotes mortality MESH:D003643
343 14789-14794 Disease denotes death MESH:D003643
346 14984-14993 Species denotes influenza Tax:11320
347 15041-15047 Disease denotes Deaths MESH:D003643
354 16473-16479 Species denotes Turkey Tax:9103
355 15387-15396 Species denotes influenza Tax:11320
356 15478-15487 Species denotes influenza Tax:11320
357 15422-15428 Disease denotes Deaths MESH:D003643
358 15459-15465 Disease denotes Deaths MESH:D003643
359 16099-16106 Disease denotes Estonia
361 15283-15288 Disease denotes Death MESH:D003643
364 16541-16550 Disease denotes Mortality MESH:D003643
365 16599-16608 Disease denotes Mortality MESH:D003643
370 16658-16667 Species denotes Influenza Tax:11320
371 16675-16703 Disease denotes Respiratory Tract Infections MESH:D012141
372 16709-16717 Disease denotes COVID-19 MESH:C000657245
373 16718-16727 Disease denotes Mortality MESH:D003643
379 16970-16976 Species denotes Turkey Tax:9103
380 17348-17354 Species denotes Turkey Tax:9103
381 16861-16870 Species denotes influenza Tax:11320
382 17335-17344 Species denotes influenza Tax:11320
383 17509-17518 Disease denotes mortality MESH:D003643
390 18098-18106 Species denotes children Tax:9606
391 18539-18545 Species denotes Turkey Tax:9103
392 18709-18717 Species denotes children Tax:9606
393 17623-17651 Disease denotes respiratory tract infections MESH:D012141
394 18427-18435 Disease denotes COVID-19 MESH:C000657245
395 18444-18450 Disease denotes deaths MESH:D003643
400 19007-19016 Species denotes influenza Tax:11320
401 18900-18909 Disease denotes mortality MESH:D003643
402 19282-19291 Disease denotes mortality MESH:D003643
403 19514-19523 Disease denotes mortality MESH:D003643
414 19814-19825 Species denotes coronavirus Tax:11118
415 20123-20132 Species denotes influenza Tax:11320
416 20174-20183 Species denotes influenza Tax:11320
417 20504-20513 Species denotes influenza Tax:11320
418 19857-19866 Disease denotes mortality MESH:D003643
419 19985-19994 Disease denotes mortality MESH:D003643
420 20134-20157 Disease denotes Streptococcus pneumonia MESH:D011014
421 20309-20317 Disease denotes COVID-19 MESH:C000657245
422 20342-20351 Disease denotes mortality MESH:D003643
423 20466-20474 Disease denotes diabetes MESH:D003920
433 21427-21431 Gene denotes ship Gene:3635
434 20596-20600 Gene denotes ship Gene:3635
435 21029-21037 Species denotes patients Tax:9606
436 21329-21337 Species denotes patients Tax:9606
437 21505-21513 Species denotes patients Tax:9606
438 20954-20962 Disease denotes COVID-19 MESH:C000657245
439 20982-20991 Disease denotes mortality MESH:D003643
440 21053-21067 Disease denotes critically ill MESH:D016638
441 21481-21490 Disease denotes mortality MESH:D003643
444 21735-21743 Disease denotes COVID-19 MESH:C000657245
445 21744-21753 Disease denotes Mortality MESH:D003643
448 21799-21808 Species denotes influenza Tax:11320
449 22107-22116 Disease denotes mortality MESH:D003643
452 22171-22179 Disease denotes COVID-19 MESH:C000657245
453 22180-22196 Disease denotes Critical Illness MESH:D016638
457 22362-22371 Species denotes influenza Tax:11320
458 22675-22684 Disease denotes Mortality MESH:D003643
459 22877-22882 Disease denotes death MESH:D003643
461 23186-23195 Species denotes influenza Tax:11320
464 24314-24320 Chemical denotes oxygen MESH:D010100
465 24333-24343 Disease denotes infections MESH:D007239
467 24545-24554 Species denotes influenza Tax:11320
469 24767-24775 Disease denotes COVID-19 MESH:C000657245
472 25889-25899 Species denotes SARS-CoV-2 Tax:2697049
473 26073-26082 Disease denotes infection MESH:D007239
484 26193-26204 Species denotes coronavirus Tax:11118
485 26299-26303 Species denotes H1N1 Tax:114727
486 26443-26453 Species denotes SARS-CoV-2 Tax:2697049
487 26502-26510 Species denotes patients Tax:9606
488 26769-26773 Species denotes H1N1 Tax:114727
489 26158-26167 Disease denotes mortality MESH:D003643
490 26392-26400 Disease denotes COVID-19 MESH:C000657245
491 26493-26501 Disease denotes COVID-19 MESH:C000657245
492 26517-26525 Disease denotes COVID-19 MESH:C000657245
493 26828-26837 Disease denotes mortality MESH:D003643
529 27663-27667 Gene denotes MMP9 Gene:4318
530 27669-27674 Gene denotes ICAM1 Gene:3383
531 27676-27680 Gene denotes IL-6 Gene:3569
532 27682-27687 Gene denotes CXCL1 Gene:2919
533 27689-27692 Gene denotes TNF Gene:7124
534 27694-27699 Gene denotes CXCL8 Gene:3576
535 27701-27705 Gene denotes TLR1 Gene:7096
536 27707-27712 Gene denotes IRF 7 Gene:3665
537 27714-27720 Gene denotes VEGF A Gene:7422
538 27726-27730 Gene denotes TLR2 Gene:7097
539 28289-28302 Gene denotes neuraminidase Gene:4758
540 27116-27124 Species denotes SARS CoV Tax:694009
541 27126-27134 Species denotes MERS CoV Tax:1335626
542 27136-27141 Species denotes Ebola Tax:1570291
543 27147-27151 Species denotes H1N1 Tax:114727
544 27332-27336 Species denotes H1N1 Tax:114727
545 27341-27349 Species denotes MERS CoV Tax:1335626
546 27354-27362 Species denotes SARS-CoV Tax:694009
547 27378-27383 Species denotes Ebola Tax:1570291
548 27501-27505 Species denotes H1N1 Tax:114727
549 27512-27520 Species denotes MERS-CoV Tax:1335626
550 27528-27536 Species denotes SARS-CoV Tax:694009
551 27555-27560 Species denotes Ebola Tax:1570291
552 27946-27956 Species denotes SARS-CoV-2 Tax:2697049
553 27994-27998 Species denotes H1N1 Tax:114727
554 28108-28112 Species denotes H1N1 Tax:114727
555 28206-28210 Species denotes H1N1 Tax:114727
556 27922-27931 Species denotes influenza Tax:11320
557 27106-27114 Disease denotes COVID-19 MESH:C000657245
558 27152-27162 Disease denotes infections MESH:D007239
559 27318-27326 Disease denotes COVID-19 MESH:C000657245
560 27466-27474 Disease denotes COVID-19 MESH:C000657245
561 27485-27495 Disease denotes infections MESH:D007239
562 28179-28187 Disease denotes COVID-19 MESH:C000657245
563 28188-28198 Disease denotes infections MESH:D007239
566 28420-28444 Species denotes Streptococcus pneumoniae Tax:1313
567 28385-28413 Disease denotes Respiratory Tract Infections MESH:D012141
579 28782-28788 Species denotes people Tax:9606
580 28998-29013 Species denotes influenza virus Tax:11308
581 29036-29063 Species denotes respiratory syncytial virus Tax:12814
582 28484-28493 Species denotes influenza Tax:11320
583 28700-28711 Species denotes respiratory Tax:12814
584 28522-28550 Disease denotes respiratory tract infections MESH:D012141
585 28670-28698 Disease denotes respiratory tract infections MESH:D012141
586 28755-28771 Disease denotes virus infections MESH:D001102
587 28821-28841 Disease denotes bacterial infections MESH:D001424
588 28843-28877 Disease denotes Streptococcus pneumonia infections MESH:D011008
589 28952-28975 Disease denotes Streptococcus pneumonia MESH:D011014
591 29142-29146 Disease denotes LCIs
597 29705-29710 Disease denotes death MESH:D003643
598 29807-29813 Disease denotes deaths MESH:D003643
599 29898-29904 Disease denotes deaths MESH:D003643
600 30013-30019 Disease denotes deaths MESH:D003643
601 30064-30070 Disease denotes deaths MESH:D003643
613 30441-30458 Species denotes influenza viruses Tax:11308
614 30288-30297 Species denotes Influenza Tax:11320
615 30358-30367 Species denotes influenza Tax:11320
616 30916-30925 Species denotes influenza Tax:11320
617 30553-30581 Disease denotes respiratory tract infections MESH:D012141
618 30663-30672 Disease denotes mortality MESH:D003643
619 30682-30690 Disease denotes COVID-19 MESH:C000657245
620 30782-30790 Disease denotes COVID-19 MESH:C000657245
621 30791-30797 Disease denotes deaths MESH:D003643
622 30876-30885 Disease denotes mortality MESH:D003643
623 30936-30964 Disease denotes respiratory tract infections MESH:D012141
626 31050-31059 Disease denotes mortality MESH:D003643
627 31326-31354 Disease denotes respiratory tract infections MESH:D012141
635 32119-32125 Species denotes people Tax:9606
636 32448-32452 Species denotes H1N1 Tax:114727
637 32137-32146 Species denotes influenza Tax:11320
638 32076-32086 Disease denotes LRI deaths MESH:D003643
639 32095-32101 Disease denotes deaths MESH:D003643
640 32257-32266 Disease denotes mortality MESH:D003643
641 32510-32519 Disease denotes mortality MESH:D003643
646 32898-32905 Species denotes Persons Tax:9606
647 33269-33273 Species denotes H1N1 Tax:114727
648 32826-32835 Species denotes influenza Tax:11320
649 33292-33315 Disease denotes Streptococcus pneumonia MESH:D011014
652 33326-33334 Disease denotes COVID-19 MESH:C000657245
653 33335-33344 Disease denotes Mortality MESH:D003643
658 33385-33393 Disease denotes COVID-19 MESH:C000657245
659 33394-33399 Disease denotes death MESH:D003643
660 33734-33743 Disease denotes mortality MESH:D003643
661 33800-33809 Disease denotes mortality MESH:D003643
663 33880-33889 Species denotes Influenza Tax:11320
670 33982-33991 Species denotes influenza Tax:11320
671 34268-34277 Species denotes influenza Tax:11320
672 34420-34429 Species denotes influenza Tax:11320
673 34623-34632 Species denotes influenza Tax:11320
674 34743-34751 Disease denotes COVID-19 MESH:C000657245
675 34752-34761 Disease denotes mortality MESH:D003643
677 35135-35144 Species denotes influenza Tax:11320
691 35294-35303 Species denotes influenza Tax:11320
692 35319-35328 Species denotes influenza Tax:11320
693 35487-35496 Species denotes influenza Tax:11320
694 35761-35770 Species denotes influenza Tax:11320
695 35879-35888 Species denotes influenza Tax:11320
696 36027-36036 Species denotes influenza Tax:11320
697 35847-35855 Disease denotes COVID-19 MESH:C000657245
698 35856-35865 Disease denotes mortality MESH:D003643
699 35926-35934 Disease denotes COVID-19 MESH:C000657245
700 35935-35940 Disease denotes death MESH:D003643
701 36134-36142 Disease denotes COVID-19 MESH:C000657245
702 36143-36152 Disease denotes mortality MESH:D003643
703 36210-36219 Disease denotes mortality MESH:D003643
713 36389-36398 Species denotes influenza Tax:11320
714 36590-36599 Species denotes influenza Tax:11320
715 36908-36917 Species denotes influenza Tax:11320
716 37178-37187 Species denotes influenza Tax:11320
717 36421-36449 Disease denotes respiratory tract infections MESH:D012141
718 36658-36666 Disease denotes COVID 19 MESH:C000657245
719 36667-36676 Disease denotes mortality MESH:D003643
720 36733-36738 Disease denotes death MESH:D003643
721 37081-37090 Disease denotes mortality MESH:D003643
730 37309-37318 Species denotes influenza Tax:11320
731 37453-37462 Species denotes influenza Tax:11320
732 37505-37514 Species denotes influenza Tax:11320
733 37374-37382 Disease denotes COVID-19 MESH:C000657245
734 37383-37392 Disease denotes mortality MESH:D003643
735 37463-37472 Disease denotes mortality MESH:D003643
736 37604-37612 Disease denotes COVID-19 MESH:C000657245
737 37613-37622 Disease denotes mortality MESH:D003643
745 38285-38290 Gene denotes spike Gene:43740568
746 37877-37886 Species denotes influenza Tax:11320
747 38118-38127 Species denotes influenza Tax:11320
748 38011-38019 Disease denotes COVID-19 MESH:C000657245
749 38020-38029 Disease denotes infection MESH:D007239
750 38052-38062 Disease denotes infections MESH:D007239
751 38176-38184 Disease denotes COVID-19 MESH:C000657245
756 38611-38615 Species denotes H1N1 Tax:114727
757 38456-38465 Species denotes influenza Tax:11320
758 38758-38767 Species denotes influenza Tax:11320
759 38962-38971 Species denotes influenza Tax:11320
763 39035-39044 Species denotes Influenza Tax:11320
764 39067-39075 Disease denotes COVID-19 MESH:C000657245
765 39076-39085 Disease denotes Mortality MESH:D003643
774 39118-39127 Species denotes influenza Tax:11320
775 39261-39270 Species denotes influenza Tax:11320
776 39172-39180 Disease denotes COVID-19 MESH:C000657245
777 39181-39190 Disease denotes mortality MESH:D003643
778 39329-39337 Disease denotes COVID-19 MESH:C000657245
779 39338-39347 Disease denotes mortality MESH:D003643
780 39615-39623 Disease denotes COVID-19 MESH:C000657245
781 39624-39633 Disease denotes mortality MESH:D003643
785 39660-39669 Species denotes influenza Tax:11320
786 39703-39711 Disease denotes COVID-19 MESH:C000657245
787 39712-39721 Disease denotes mortality MESH:D003643
798 39774-39783 Species denotes influenza Tax:11320
799 40167-40176 Species denotes influenza Tax:11320
800 40285-40294 Species denotes influenza Tax:11320
801 40330-40339 Species denotes influenza Tax:11320
802 39828-39836 Disease denotes COVID-19 MESH:C000657245
803 39837-39846 Disease denotes mortality MESH:D003643
804 39946-39955 Disease denotes mortality MESH:D003643
805 40012-40021 Disease denotes mortality MESH:D003643
806 40381-40388 Disease denotes Armenia
807 40424-40433 Disease denotes mortality MESH:D003643
811 40569-40578 Species denotes Influenza Tax:11320
812 40583-40591 Disease denotes COVID-19 MESH:C000657245
813 40592-40601 Disease denotes Mortality MESH:D003643
823 40880-40889 Species denotes influenza Tax:11320
824 40928-40937 Species denotes influenza Tax:11320
825 41092-41101 Species denotes influenza Tax:11320
826 40759-40768 Disease denotes mortality MESH:D003643
827 40824-40833 Disease denotes mortality MESH:D003643
828 41055-41063 Disease denotes COVID-19 MESH:C000657245
829 41064-41073 Disease denotes mortality MESH:D003643
830 41142-41150 Disease denotes COVID-19 MESH:C000657245
831 41151-41160 Disease denotes mortality MESH:D003643
836 41236-41245 Species denotes influenza Tax:11320
837 41264-41273 Disease denotes mortality MESH:D003643
838 41283-41291 Disease denotes COVID-19 MESH:C000657245
839 41301-41310 Disease denotes mortality MESH:D003643
853 41538-41547 Species denotes influenza Tax:11320
854 41779-41788 Species denotes influenza Tax:11320
855 42024-42033 Species denotes influenza Tax:11320
856 41588-41596 Disease denotes COVID-19 MESH:C000657245
857 41597-41606 Disease denotes mortality MESH:D003643
858 41662-41670 Disease denotes COVID-19 MESH:C000657245
859 41671-41680 Disease denotes mortality MESH:D003643
860 41733-41741 Disease denotes COVID-19 MESH:C000657245
861 41742-41751 Disease denotes mortality MESH:D003643
862 41958-41966 Disease denotes COVID-19 MESH:C000657245
863 41967-41976 Disease denotes mortality MESH:D003643
864 42218-42226 Disease denotes COVID-19 MESH:C000657245
865 42227-42236 Disease denotes mortality MESH:D003643
869 42305-42314 Species denotes Influenza Tax:11320
870 42286-42294 Disease denotes COVID-19 MESH:C000657245
871 42295-42304 Disease denotes Mortality MESH:D003643
911 42369-42378 Species denotes influenza Tax:11320
912 42523-42532 Species denotes influenza Tax:11320
913 42569-42578 Species denotes Influenza Tax:11320
914 42613-42622 Species denotes influenza Tax:11320
915 42722-42731 Species denotes influenza Tax:11320
916 42842-42851 Species denotes influenza Tax:11320
917 43074-43083 Species denotes Influenza Tax:11320
918 43144-43153 Species denotes influenza Tax:11320
919 43431-43440 Species denotes influenza Tax:11320
920 43485-43494 Species denotes influenza Tax:11320
921 43602-43611 Species denotes influenza Tax:11320
922 43635-43644 Species denotes Influenza Tax:11320
923 43813-43822 Species denotes Influenza Tax:11320
924 43861-43870 Species denotes influenza Tax:11320
925 43990-43999 Species denotes influenza Tax:11320
926 44249-44258 Species denotes influenza Tax:11320
927 42346-42354 Disease denotes COVID-19 MESH:C000657245
928 42355-42364 Disease denotes mortality MESH:D003643
929 42594-42602 Disease denotes COVID-19 MESH:C000657245
930 42603-42612 Disease denotes mortality MESH:D003643
931 42688-42697 Disease denotes mortality MESH:D003643
932 42813-42821 Disease denotes COVID-19 MESH:C000657245
933 42822-42827 Disease denotes death MESH:D003643
934 42861-42869 Disease denotes COVID-19 MESH:C000657245
935 42870-42879 Disease denotes mortality MESH:D003643
936 43125-43133 Disease denotes COVID-19 MESH:C000657245
937 43134-43143 Disease denotes mortality MESH:D003643
938 43392-43400 Disease denotes COVID-19 MESH:C000657245
939 43401-43410 Disease denotes mortality MESH:D003643
940 43412-43420 Disease denotes COVID-19 MESH:C000657245
941 43421-43430 Disease denotes mortality MESH:D003643
942 43583-43591 Disease denotes COVID-19 MESH:C000657245
943 43592-43601 Disease denotes mortality MESH:D003643
944 43794-43802 Disease denotes COVID-19 MESH:C000657245
945 43803-43812 Disease denotes mortality MESH:D003643
946 43944-43952 Disease denotes COVID-19 MESH:C000657245
947 43953-43962 Disease denotes mortality MESH:D003643
948 44183-44191 Disease denotes COVID-19 MESH:C000657245
949 44192-44201 Disease denotes mortality MESH:D003643
953 44426-44435 Species denotes Influenza Tax:11320
954 44458-44466 Disease denotes COVID-19 MESH:C000657245
955 44467-44476 Disease denotes Mortality MESH:D003643
960 44552-44561 Species denotes Influenza Tax:11320
961 44617-44626 Species denotes Influenza Tax:11320
962 44598-44606 Disease denotes COVID-19 MESH:C000657245
963 44607-44616 Disease denotes Mortality MESH:D003643
974 44691-44700 Species denotes Influenza Tax:11320
975 44748-44757 Species denotes influenza Tax:11320
976 44796-44805 Species denotes Influenza Tax:11320
977 44850-44859 Species denotes influenza Tax:11320
978 44705-44713 Disease denotes COVID-19 MESH:C000657245
979 44714-44723 Disease denotes mortality MESH:D003643
980 44777-44785 Disease denotes COVID-19 MESH:C000657245
981 44786-44795 Disease denotes Mortality MESH:D003643
982 44831-44839 Disease denotes COVID-19 MESH:C000657245
983 44840-44849 Disease denotes mortality MESH:D003643
991 44992-45001 Species denotes influenza Tax:11320
992 45274-45283 Species denotes influenza Tax:11320
993 45326-45335 Species denotes influenza Tax:11320
994 44934-44942 Disease denotes COVID-19 MESH:C000657245
995 44943-44952 Disease denotes mortality MESH:D003643
996 45053-45059 Disease denotes deaths MESH:D003643
997 45180-45189 Disease denotes mortality MESH:D003643
1001 45386-45414 Disease denotes Streptococcus pneumonia LRIs MESH:D011014
1002 45419-45427 Disease denotes COVID-19 MESH:C000657245
1003 45428-45437 Disease denotes Mortality MESH:D003643
1014 45481-45492 Species denotes coronavirus Tax:11118
1015 45768-45779 Species denotes respiratory Tax:12814
1016 45540-45563 Disease denotes Streptococcus pneumonia MESH:D011014
1017 45564-45573 Disease denotes infection MESH:D007239
1018 45703-45712 Disease denotes mortality MESH:D003643
1019 45716-45724 Disease denotes COVID-19 MESH:C000657245
1020 45786-45795 Disease denotes infection MESH:D007239
1021 45829-45845 Disease denotes viral infections MESH:D001102
1022 45947-45981 Disease denotes Streptococcus pneumonia infections MESH:D011008
1023 46106-46114 Disease denotes COVID-19 MESH:C000657245
1068 48362-48370 Species denotes patients Tax:9606
1069 48569-48577 Species denotes patients Tax:9606
1070 46439-46448 Species denotes influenza Tax:11320
1071 46572-46581 Species denotes influenza Tax:11320
1072 47238-47247 Species denotes influenza Tax:11320
1073 47301-47310 Species denotes influenza Tax:11320
1074 47372-47381 Species denotes Influenza Tax:11320
1075 47386-47395 Species denotes Influenza Tax:11320
1076 47496-47505 Species denotes influenza Tax:11320
1077 47925-47934 Species denotes influenza Tax:11320
1078 48018-48027 Species denotes Influenza Tax:11320
1079 48035-48044 Species denotes influenza Tax:11320
1080 48154-48163 Species denotes Influenza Tax:11320
1081 48170-48179 Species denotes influenza Tax:11320
1082 48262-48271 Species denotes influenza Tax:11320
1083 48579-48588 Species denotes influenza Tax:11320
1084 46463-46471 Disease denotes Covid-19 MESH:C000657245
1085 46472-46481 Disease denotes mortality MESH:D003643
1086 46533-46541 Disease denotes Covid-19 MESH:C000657245
1087 46629-46637 Disease denotes Covid-19 MESH:C000657245
1088 46638-46647 Disease denotes mortality MESH:D003643
1089 46709-46717 Disease denotes Covid-19 MESH:C000657245
1090 46718-46727 Disease denotes mortality MESH:D003643
1091 46880-46889 Disease denotes mortality MESH:D003643
1092 47155-47163 Disease denotes Covid-19 MESH:C000657245
1093 47164-47173 Disease denotes mortality MESH:D003643
1094 47361-47370 Disease denotes mortality MESH:D003643
1095 47565-47573 Disease denotes Covid-19 MESH:C000657245
1096 47574-47583 Disease denotes mortality MESH:D003643
1097 47686-47694 Disease denotes Covid-19 MESH:C000657245
1098 47695-47704 Disease denotes mortality MESH:D003643
1099 47749-47757 Disease denotes Covid-19 MESH:C000657245
1100 47758-47763 Disease denotes death MESH:D003643
1101 47957-47965 Disease denotes Covid-19 MESH:C000657245
1102 47966-47975 Disease denotes mortality MESH:D003643
1103 47998-48006 Disease denotes Covid-19 MESH:C000657245
1104 48007-48016 Disease denotes mortality MESH:D003643
1105 48134-48142 Disease denotes Covid-19 MESH:C000657245
1106 48143-48152 Disease denotes mortality MESH:D003643
1107 48309-48317 Disease denotes Covid-19 MESH:C000657245
1108 48318-48327 Disease denotes mortality MESH:D003643
1109 48405-48413 Disease denotes Covid-19 MESH:C000657245
1110 48414-48419 Disease denotes death MESH:D003643
1111 48632-48640 Disease denotes Covid-19 MESH:C000657245
1152 49762-49765 Gene denotes S14 Gene:6208
1153 50480-50483 Gene denotes S16 Gene:6217
1154 50372-50375 Gene denotes S15 Gene:6209
1155 49382-49385 Gene denotes S12 Gene:6268
1156 49231-49234 Gene denotes S11 Gene:6267
1157 49061-49064 Gene denotes S10 Gene:6204
1158 49578-49584 Species denotes people Tax:9606
1159 49934-49940 Species denotes people Tax:9606
1160 50087-50093 Species denotes people Tax:9606
1161 50193-50199 Species denotes people Tax:9606
1162 48739-48748 Species denotes influenza Tax:11320
1163 48848-48857 Species denotes influenza Tax:11320
1164 49088-49097 Species denotes influenza Tax:11320
1165 49241-49250 Species denotes influenza Tax:11320
1166 49647-49656 Species denotes influenza Tax:11320
1167 49839-49848 Species denotes influenza Tax:11320
1168 49963-49972 Species denotes influenza Tax:11320
1169 50232-50241 Species denotes influenza Tax:11320
1170 50664-50673 Species denotes influenza Tax:11320
1171 48720-48728 Disease denotes Covid-19 MESH:C000657245
1172 48729-48738 Disease denotes mortality MESH:D003643
1173 48976-48984 Disease denotes Covid-19 MESH:C000657245
1174 48985-48994 Disease denotes mortality MESH:D003643
1175 49202-49211 Disease denotes mortality MESH:D003643
1176 49401-49409 Disease denotes Covid-19 MESH:C000657245
1177 49410-49419 Disease denotes mortality MESH:D003643
1178 49507-49515 Disease denotes Covid-19 MESH:C000657245
1179 49516-49525 Disease denotes mortality MESH:D003643
1180 49558-49563 Disease denotes death MESH:D003643
1181 49883-49892 Disease denotes mortality MESH:D003643
1182 49900-49909 Disease denotes mortality MESH:D003643
1183 50063-50072 Disease denotes mortality MESH:D003643
1184 50143-50151 Disease denotes Covid-19 MESH:C000657245
1185 50152-50157 Disease denotes death MESH:D003643
1186 50298-50307 Disease denotes mortality MESH:D003643
1187 50384-50412 Disease denotes respiratory tract infections MESH:D012141
1188 50428-50437 Disease denotes mortality MESH:D003643
1189 50552-50561 Disease denotes mortality MESH:D003643
1190 50597-50606 Disease denotes mortality MESH:D003643
1191 50653-50662 Disease denotes mortality MESH:D003643
1217 51842-51846 Species denotes H1N1 Tax:114727
1218 51887-51900 Species denotes coronaviruses Tax:11118
1219 52210-52214 Species denotes H1N1 Tax:114727
1220 50794-50803 Species denotes influenza Tax:11320
1221 50858-50867 Species denotes influenza Tax:11320
1222 51051-51060 Species denotes influenza Tax:11320
1223 51543-51552 Species denotes influenza Tax:11320
1224 51831-51840 Species denotes influenza Tax:11320
1225 51988-51997 Species denotes influenza Tax:11320
1226 50820-50828 Disease denotes COVID-19 MESH:C000657245
1227 50829-50838 Disease denotes mortality MESH:D003643
1228 50896-50924 Disease denotes respiratory tract infections MESH:D012141
1229 50940-50963 Disease denotes Streptococcus pneumonia MESH:D011014
1230 50990-50998 Disease denotes COVID-19 MESH:C000657245
1231 50999-51008 Disease denotes mortality MESH:D003643
1232 51166-51174 Disease denotes COVID-19 MESH:C000657245
1233 51175-51184 Disease denotes mortality MESH:D003643
1234 51267-51276 Disease denotes mortality MESH:D003643
1235 51393-51398 Disease denotes death MESH:D003643
1236 51633-51642 Disease denotes mortality MESH:D003643
1237 51956-51984 Disease denotes respiratory tract infections MESH:D012141
1238 52036-52059 Disease denotes Streptococcus pneumonia MESH:D011014
1239 52187-52196 Disease denotes infection MESH:D007239
1240 52263-52271 Disease denotes COVID-19 MESH:C000657245
1241 52272-52281 Disease denotes mortality MESH:D003643
1252 52788-52792 Species denotes H1N1 Tax:114727
1253 53259-53263 Species denotes H1N1 Tax:114727
1254 52350-52359 Species denotes influenza Tax:11320
1255 52393-52402 Species denotes influenza Tax:11320
1256 52429-52438 Species denotes Influenza Tax:11320
1257 53191-53200 Species denotes influenza Tax:11320
1258 52686-52694 Disease denotes COVID-19 MESH:C000657245
1259 53065-53074 Disease denotes mortality MESH:D003643
1260 53087-53095 Disease denotes COVID-19 MESH:C000657245
1261 53236-53244 Disease denotes COVID-19 MESH:C000657245
1263 53303-53311 Disease denotes COVID-19 MESH:C000657245
1272 53380-53389 Species denotes influenza Tax:11320
1273 53801-53810 Species denotes influenza Tax:11320
1274 53353-53362 Disease denotes mortality MESH:D003643
1275 53437-53445 Disease denotes COVID-19 MESH:C000657245
1276 53446-53455 Disease denotes mortality MESH:D003643
1277 53523-53531 Disease denotes COVID-19 MESH:C000657245
1278 53573-53581 Disease denotes COVID-19 MESH:C000657245
1279 53640-53648 Disease denotes COVID-19 MESH:C000657245
1281 53850-53859 Species denotes Influenza Tax:11320
1300 54264-54270 Species denotes people Tax:9606
1301 53906-53915 Species denotes influenza Tax:11320
1302 53957-53966 Species denotes influenza Tax:11320
1303 54120-54129 Species denotes influenza Tax:11320
1304 54296-54305 Species denotes influenza Tax:11320
1305 54478-54487 Species denotes influenza Tax:11320
1306 54626-54635 Species denotes Influenza Tax:11320
1307 54791-54800 Species denotes influenza Tax:11320
1308 54887-54896 Species denotes influenza Tax:11320
1309 54958-54967 Species denotes influenza Tax:11320
1310 55088-55097 Species denotes influenza Tax:11320
1311 55367-55376 Species denotes influenza Tax:11320
1312 54168-54187 Disease denotes respiratory illness MESH:D012140
1313 54857-54866 Disease denotes mortality MESH:D003643
1314 55043-55051 Disease denotes Covid-19 MESH:C000657245
1315 55052-55061 Disease denotes mortality MESH:D003643
1316 55248-55257 Disease denotes mortality MESH:D003643
1317 55430-55439 Disease denotes mortality MESH:D003643
1331 56212-56218 Species denotes Turkey Tax:9103
1332 55583-55592 Species denotes influenza Tax:11320
1333 55762-55771 Species denotes influenza Tax:11320
1334 55857-55866 Species denotes influenza Tax:11320
1335 56089-56098 Species denotes influenza Tax:11320
1336 56153-56162 Species denotes influenza Tax:11320
1337 56282-56291 Species denotes influenza Tax:11320
1338 56348-56357 Species denotes influenza Tax:11320
1339 55793-55801 Disease denotes Covid-19 MESH:C000657245
1340 55802-55811 Disease denotes mortality MESH:D003643
1341 55867-55876 Disease denotes mortality MESH:D003643
1342 56313-56322 Disease denotes mortality MESH:D003643
1343 56462-56471 Disease denotes mortality MESH:D003643
1350 56562-56568 Species denotes people Tax:9606
1351 56731-56740 Species denotes influenza Tax:11320
1352 56482-56490 Disease denotes COVID-19 MESH:C000657245
1353 56491-56500 Disease denotes mortality MESH:D003643
1354 56631-56639 Disease denotes COVID-19 MESH:C000657245
1355 56640-56649 Disease denotes mortality MESH:D003643
1366 57767-57775 Species denotes patients Tax:9606
1367 57008-57017 Species denotes influenza Tax:11320
1368 57901-57910 Species denotes influenza Tax:11320
1369 57034-57042 Disease denotes COVID-19 MESH:C000657245
1370 57043-57052 Disease denotes mortality MESH:D003643
1371 57782-57790 Disease denotes COVID-19 MESH:C000657245
1372 57791-57800 Disease denotes mortality MESH:D003643
1373 57927-57935 Disease denotes COVID-19 MESH:C000657245
1374 57936-57945 Disease denotes mortality MESH:D003643
1375 58184-58193 Disease denotes mortality MESH:D003643
1379 58281-58290 Disease denotes mortality MESH:D003643
1380 58294-58302 Disease denotes COVID-19 MESH:C000657245
1381 58832-58859 Disease denotes respiratory tract infection MESH:D012141
1385 58901-58905 Species denotes H1N1 Tax:114727
1386 59528-59536 Species denotes children Tax:9606
1387 58947-58970 Disease denotes Streptococcus pneumonia MESH:D011014
1401 60155-60164 Species denotes influenza Tax:11320
1402 60408-60417 Species denotes influenza Tax:11320
1403 60484-60493 Species denotes influenza Tax:11320
1404 59617-59625 Disease denotes COVID-19 MESH:C000657245
1405 59626-59635 Disease denotes mortality MESH:D003643
1406 59764-59769 Disease denotes death MESH:D003643
1407 59904-59912 Disease denotes COVID-19 MESH:C000657245
1408 59913-59922 Disease denotes mortality MESH:D003643
1409 59992-60000 Disease denotes COVID-19 MESH:C000657245
1410 60001-60006 Disease denotes death MESH:D003643
1411 60385-60393 Disease denotes COVID-19 MESH:C000657245
1412 60456-60464 Disease denotes COVID-19 MESH:C000657245
1413 60465-60474 Disease denotes mortality MESH:D003643
1419 60536-60545 Species denotes influenza Tax:11320
1420 60751-60760 Species denotes influenza Tax:11320
1421 60579-60607 Disease denotes respiratory tract infections MESH:D012141
1422 60961-60969 Disease denotes COVID-19 MESH:C000657245
1423 60970-60979 Disease denotes mortality MESH:D003643
1425 61047-61051 Gene denotes Talk Gene:659
1427 61421-61441 Disease denotes SARS-Co-2 infections MESH:D060085
1447 61443-61447 Gene denotes CCR5 Gene:1234
1448 61666-61671 Gene denotes GP120 Gene:3700
1449 61770-61774 Gene denotes CCR5 Gene:1234
1450 61912-61917 Gene denotes ACE-2 Gene:59272
1451 61941-61945 Gene denotes CCR5 Gene:1234
1452 62031-62035 Gene denotes CCR5 Gene:1234
1453 62061-62065 Gene denotes CCR5 Gene:1234
1454 62139-62143 Gene denotes CCR5 Gene:1234
1455 62238-62242 Gene denotes CCR5 Gene:1234
1456 61549-61579 Species denotes human immunodeficiency viruses Tax:12721
1457 61602-61621 Species denotes hepatitis C viruses Tax:11102
1458 61675-61703 Species denotes human immunodeficiency virus Tax:12721
1459 61739-61749 Species denotes SARS-Cov-2 Tax:2697049
1460 61878-61888 Species denotes SARS-CoV-2 Tax:2697049
1461 62040-62050 Species denotes SARS-CoV-2 Tax:2697049
1462 61750-61755 Gene denotes spike Gene:43740568
1463 62080-62089 Chemical denotes maraviroc MESH:D000077592
1464 61973-61994 Disease denotes SARS-CoV-2 infections MESH:C000657245
1465 61448-61455 Mutation denotes delta32 c.del32
1470 62413-62439 Species denotes H1N1 swine influenza virus Tax:36420
1471 62543-62548 Species denotes human Tax:9606
1472 62578-62582 Species denotes H1N1 Tax:114727
1473 62549-62558 Disease denotes infection MESH:D007239
1478 62644-62666 Species denotes Streptococcus pyogenes Tax:1314
1479 62846-62868 Species denotes streptococcus pyogenes Tax:1314
1480 62886-62896 Species denotes SARS-CoV-2 Tax:2697049
1481 62960-62982 Species denotes streptococcus pyogenes Tax:1314
1486 63405-63415 Species denotes SARS-CoV-2 Tax:2697049
1487 63214-63222 Disease denotes COVID-19 MESH:C000657245
1488 63357-63366 Disease denotes mortality MESH:D003643
1489 63370-63378 Disease denotes COVID-19 MESH:C000657245
1495 63577-63586 Species denotes influenza Tax:11320
1496 63591-63614 Disease denotes Streptococcus pneumonia MESH:D011014
1497 63713-63721 Disease denotes COVID-19 MESH:C000657245
1498 63781-63790 Disease denotes mortality MESH:D003643
1499 63808-63816 Disease denotes COVID-19 MESH:C000657245
1503 64358-64364 Species denotes people Tax:9606
1504 64384-64393 Species denotes influenza Tax:11320
1505 64304-64311 Chemical denotes 1 https
1507 64486-64495 Species denotes influenza Tax:11320
1509 64510-64517 Chemical denotes 3 https
1511 64650-64659 Species denotes Influenza Tax:11320
1513 64668-64675 Chemical denotes 5 https
1516 64752-64773 Species denotes coronavirus/2019-ncov Tax:2697049
1517 64730-64737 Chemical denotes 6 https
1519 64913-64921 Disease denotes COVID-19 MESH:C000657245
1522 65026-65035 Species denotes influenza Tax:11320
1523 64986-64996 Disease denotes infections MESH:D007239
1526 65154-65165 Species denotes coronavirus Tax:11118
1527 65166-65177 Species denotes coronavirus Tax:11118

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 3509-3524 http://purl.obolibrary.org/obo/GO_0061025 denotes membrane fusion
T2 21918-21924 http://purl.obolibrary.org/obo/GO_0098739 denotes uptake
T3 21918-21924 http://purl.obolibrary.org/obo/GO_0098657 denotes uptake
T4 21999-22005 http://purl.obolibrary.org/obo/GO_0098739 denotes uptake
T5 21999-22005 http://purl.obolibrary.org/obo/GO_0098657 denotes uptake
T6 26416-26438 http://purl.obolibrary.org/obo/GO_0002456 denotes cell-mediated immunity
T7 26416-26438 http://purl.obolibrary.org/obo/GO_0002449 denotes cell-mediated immunity
T8 27862-27880 http://purl.obolibrary.org/obo/GO_0001816 denotes cytokine secretion
T9 27871-27880 http://purl.obolibrary.org/obo/GO_0046903 denotes secretion
T10 34874-34878 http://purl.obolibrary.org/obo/GO_0043336 denotes Rest
T11 35735-35752 http://purl.obolibrary.org/obo/GO_0006955 denotes immunity response
T12 45829-45845 http://purl.obolibrary.org/obo/GO_0016032 denotes viral infections
T13 61814-61826 http://purl.obolibrary.org/obo/GO_0009405 denotes pathogenesis
T14 63064-63079 http://purl.obolibrary.org/obo/GO_0006955 denotes immune response

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-101 Sentence denotes Considering Interim Interventions to Control COVID-19 Associated Morbidity and Mortality—Perspectives
T2 103-111 Sentence denotes Abstract
T3 112-132 Sentence denotes Aims and objectives:
T4 133-236 Sentence denotes The pandemic of COVID-19 is evolving worldwide, and it is associated with high mortality and morbidity.
T5 237-371 Sentence denotes There is a growing need to discuss the elements of a coordinated strategy to control the spread and mitigate the severity of COVID-19.
T6 372-428 Sentence denotes H1N1 and Streptococcus pneumonia vaccines are available.
T7 429-548 Sentence denotes The current analysis was performed to analyze the severity of COVID-19 and influenza (H1N1) vaccination in adults ≥ 65.
T8 549-719 Sentence denotes Also, to correlate the lower respiratory tract infections (LRIs), and influenza attributable to the lower respiratory tract infections' incidence with Covid-19 mortality.
T9 720-838 Sentence denotes Evolutionarily influenza is close in resemblance to SARS-CoV-2 viruses and shares some common epitopes and mechanisms.
T10 839-847 Sentence denotes Methods:
T11 848-993 Sentence denotes Recent influenza vaccination data of 34 countries from OECD and other publications were correlated with COVID-19 mortality from worldometer data.
T12 994-1093 Sentence denotes LRIs attributable to influenza and streptococcus pneumonia were correlated with COVID-19 mortality.
T13 1094-1296 Sentence denotes Specifically, influenza-attributable LRI incidence data of various countries (n = 182) was correlated with COVID-19 death by linear regression and receiver operating characteristic (ROC) curve analyzes.
T14 1297-1416 Sentence denotes In a logistic regression model, population density and influenza LRI incidence were correlated with COVID-19 mortality.
T15 1417-1425 Sentence denotes Results:
T16 1426-1581 Sentence denotes There is a correlation between COVID-19-related mortality, morbidity, and case incidence and the status of influenza vaccination, which appears protective.
T17 1582-1666 Sentence denotes The tendency of correlation is increasingly highlighted as the pandemic is evolving.
T18 1667-1848 Sentence denotes In countries where influenza immunization is less common, there is a correlation between LRIs and influenza attributable to LRI incidence and COVID-19 severity, which is beneficial.
T19 1849-2021 Sentence denotes ROC curve showed an area under the curve of 0.86 (CI 0.78 to 0.944, P < 0.0001) to predict COVID-19 mortality >150/million and a decreasing trend of influenza LRI episodes.
T20 2022-2169 Sentence denotes To predict COVID-19 mortality of >200/million population, the odds ratio for influenza incidence/100,000 was −1.86 (CI −2.75 to −0.96, P < 0.0001).
T21 2170-2340 Sentence denotes To predict the parameter Covid-19 mortality/influenza LRI episodes*1000>1000, the influenza parameter had an odd's ratio of −3.83 (CI −5.98 to −1.67), and an AUC of 0.94.
T22 2341-2352 Sentence denotes Conclusion:
T23 2353-2479 Sentence denotes Influenza (H1N1) vaccination can be used as an interim measure to mitigate the severity of COVID-19 in the general population.
T24 2480-2646 Sentence denotes In appropriate high-risk circumstances, Streptococcus pneumonia vaccination would also be an adjunct strategy, especially in countries with a lower incidence of LRIs.
T25 2648-2660 Sentence denotes Introduction
T26 2661-2852 Sentence denotes As the COVID-19 pandemic is evolving worldwide, the need for a working therapy or method of control is significant to lessen the severity and mortality of coronavirus disease-2019 (COVID-19).
T27 2853-2973 Sentence denotes Among the influenza viruses, respiratory syncytial viruses are common etiologies for lower respiratory tract infections.
T28 2974-3148 Sentence denotes Streptococcus pneumonia and Hemophilus influenza are common bacterial infections, and Streptococcus pneumonia constitutes a significant share of lower respiratory infections.
T29 3149-3226 Sentence denotes Influenza (H1N1) and Streptococcus pneumonia vaccines are commonly available.
T30 3227-3300 Sentence denotes The influenza viruses and SARS-CoV-2 viruses have evolutionary proximity.
T31 3301-3428 Sentence denotes The influenza and coronaviruses utilize similar and contrasting approaches to control interferon-stimulated gene responses (1).
T32 3429-3570 Sentence denotes Also, the pathognomonic spike protein shares common features with class 1 viral membrane fusion proteins, including influenza viruses (2, 3).
T33 3571-3663 Sentence denotes The cell entry of the influenza A (H7N9) viruses is through ACE-2 receptors in the lung (4).
T34 3664-3886 Sentence denotes The exact receptor mechanism of the virus entry is still not clear, however, the surface hemagglutinin receptor binding sites attaches the virus to surface glycoconjugates that contain terminal sialic acid residues (5, 6).
T35 3887-3978 Sentence denotes H1N1 infections can downregulate the ACE-2 levels in the lung tissues by neuraminidase (7).
T36 3979-4092 Sentence denotes Hence, the study was performed to analyze the severity of COVID-19 and influenza vaccination in adults >65 years.
T37 4093-4279 Sentence denotes Since this vaccination is not mandatory for routine clinical practice, various countries adopt different policies, and the vaccination rates significantly differ among various countries.
T38 4280-4410 Sentence denotes For further primary prevention, a Streptococcus pneumonia vaccine would be a useful strategy that is known to be effective (8–10).
T39 4411-4482 Sentence denotes Bacterial infections are commonly associated with viral pneumonia (11).
T40 4483-4648 Sentence denotes The addition of a Streptococcus pneumonia vaccine can further improve the protective benefits by an additional or logarithmical value, which is yet to be determined.
T41 4650-4657 Sentence denotes Methods
T42 4658-4811 Sentence denotes The influenza vaccination status data in the elderly ≥ 65 years was obtained from OECD (organization for economic cooperation and development) data (12).
T43 4812-4934 Sentence denotes The data of countries that are not available in the OECD data were obtained from various publications (13, 14)1, (15, 16).
T44 4935-5088 Sentence denotes At the time of this writing, the details of the COVID-19 were obtained from worldometer data/coronavirus, and the current mortality worldwide is 725,000.
T45 5089-5166 Sentence denotes The number of critical or severe patients were obtained from the same source.
T46 5167-5254 Sentence denotes The critical illness data was compared with the respective population of the countries.
T47 5255-5387 Sentence denotes The incidence, mortality, and case fatality rate of COVID-19 were correlated with influenza vaccination status in adults ≥ 65 years.
T48 5388-5499 Sentence denotes The tests performed vary in different countries, and the clinical parameters vary based on the tests performed.
T49 5500-5566 Sentence denotes Hence, some of the results were corrected for the tests performed.
T50 5567-5690 Sentence denotes Subsequently, closed cohorts of patients were studied and analyzed for COVID-19 mortality and influenza vaccination status.
T51 5691-5804 Sentence denotes The closed cohorts included US military and veteran's affairs, US healthcare professionals, and cruise ship data.
T52 5805-5979 Sentence denotes The herd immunity of COVID-19 reported in various papers was studied to analyze the necessity and significance of the influenza vaccination in the current COVID-19 situation.
T53 5980-6271 Sentence denotes To envisage the possible mechanisms of the influenza vaccination and its protective benefit against COVID-19 severity, the transcriptomic profile and T/B-cell responses and the overlapping features of influenza A viruses and COVID-19 were studied, taking basis in various published articles.
T54 6272-6519 Sentence denotes To further analyze the significance of influenza LRI's burden all over the world's and its correlation with COVID-19 mortality, the lower respiratory tract infections data were analyzed with COVID-19 death through global disease burden (GBD) data.
T55 6520-6687 Sentence denotes The influenza-attributable LRI details were analyzed through historical GBD data—the influenza LRI incidence was correlated with the current COVID-19 worldometer data.
T56 6688-6823 Sentence denotes When a significant correlation was observed, receiver operating statistic curve analyses were performed in two separate time occasions.
T57 6824-6932 Sentence denotes After that, the Influenza LRI data (x) was correlated with Covid19 mortality (y) using the x and y/x method.
T58 6933-7096 Sentence denotes The receiver operating characteristic (ROC) curve analyses was performed with COVID-19 mortality cut-off values and decreasing incidence of influenza LRI episodes.
T59 7097-7217 Sentence denotes In a logistic regression model with influenza LRI and population density parameters, the COVID-19 mortality was studied.
T60 7219-7226 Sentence denotes Results
T61 7228-7283 Sentence denotes COVID-19 Case-Fatality Rate and Influenza LRI Parameter
T62 7284-7429 Sentence denotes Logistic regression analysis shows the influenza parameter is consistently associated with the Covid19 case-fatality rate, i.e., mortality/cases.
T63 7430-7743 Sentence denotes In a logistic regression model including the parameters influenza LRI incidence*population density, population density, population in numbers, and influenza LRI incidence parameter, the lesser values of influenza LRI parameter was consistently associated with Covid19 mortality/cases rate (Supplement Figure S17).
T64 7744-8131 Sentence denotes To indicate the Covid19 mortality/cases rate >5 percent the odds ratio for influenza LRI parameter was −0.681 (CI −1.147 to −0.214, P = 0.004, August 23, 2020), for rate >4 the odds ratio was −0.47 (CI −0.823 to −0.118, P = 0.009) and for >3 the odds ratio was −0.296 (CI −0.543 to −0.05, P = 0.019), and the regression models were significant, as reflected by the respective ROC curves.
T65 8132-8464 Sentence denotes Individually, the odds ratio for influenza LRI parameter (Supplement Figure S18) associated with COVID-19 mortality/cases rate >3 percent was −0.206 (−0.403 to 0.008, P = 0.041), for rate >4 the odds ratio was −0.419 (CI −0.715 to −0.122, P = 0.006), and for case fatality rate >5 the value was −0.662 (−1.055 to −0.269, P = 0.001).
T66 8465-8688 Sentence denotes Influenza*Population density had an odds ratio of −0.402 (−1.01 to +0.2, P = 0.196), and though it was not statistically significant, it tended to be associated with high case-fatality rate (Supplement Figure S19, Panel A).
T67 8689-9054 Sentence denotes The latest odd ratio values (August 23, 2020) for influenza LRI *population density parameter to indicate Covid19 parameter >250/million (Supplement Figure S19 panel B) was −2.73 (−5.12 to −0.34, P = 0.025) and the odds ratio for influenza parameter to indicate Covid19 mortality >250/million (Supplement Figure S19 panel C) was −0.913 (−1.42 to −0.406, P = 0.000).
T68 9056-9074 Sentence denotes COVID-19 Incidence
T69 9075-9177 Sentence denotes Table 1 shows the statistical data from the worldometer data/coronavirus at the time of this write-up.
T70 9178-9313 Sentence denotes The correlation between vaccination and cases per million/vaccination shows an R2 of 0.16 and a variance benefit of 15% (Figures 1A–F).
T71 9314-9572 Sentence denotes When adjusted to the tests performed that modulate the case identification, the benefit is more pronounced, and R2 was 0.28 (r = −0.53, Figure 1C) and is sustained around 0.26 (Figure 1E), and the latest R2 was 0.15 (Panel F lower line, Logarithmic R2 0.26).
T72 9573-9648 Sentence denotes There is a tendency toward a lesser case incidence in vaccinated countries.
T73 9649-9808 Sentence denotes Table 1 Incidence of mortality and critical position of the patient and influenza vaccination status (age ≥ 65 years) in different countries (April 10, 2020).
T74 9809-9983 Sentence denotes Country Mortality/million population Latest influenza vaccination statistics (%) Critical/serious numbers (n) Population in million Critical numbers/population in M
T75 9984-10016 Sentence denotes USA 50 67.5 10,011 330 60.1
T76 10017-10050 Sentence denotes Spain 330 53.7 7,371 47 59.7
T77 10051-10084 Sentence denotes Italy 302 52.7 3,605 60 60.1
T78 10085-10119 Sentence denotes Germany 31 34.8 4,895 82 59.7
T79 10120-10155 Sentence denotes France 187 49.7 7,066 67 105.5
T80 10156-10185 Sentence denotes Iran 49 25 3,987 66 60.4
T81 10186-10216 Sentence denotes UK 118 72.6 1,559 81 19.2
T82 10217-10244 Sentence denotes Chile 3 64.7 360 18 20
T83 10245-10281 Sentence denotes Belgium 218 31 1,285 11.5 111.7
T84 10282-10316 Sentence denotes Switzerland 110 38 386 8 48.2
T85 10317-10356 Sentence denotes Netherlands 140 64 1,424 17.3 82.3
T86 10357-10390 Sentence denotes Canada 13 61.1 518 37.6 13.8
T87 10391-10420 Sentence denotes Austria 33 14 266 9 29.6
T88 10421-10456 Sentence denotes Portugal 40 60.8 241 10.3 23.3
T89 10457-10493 Sentence denotes South Korea 4 82.7 55 51.5 1.07
T90 10494-10527 Sentence denotes Sweden 79 49.4 719 10.2 70.4
T91 10528-10559 Sentence denotes Norway 20 34.4 82 5.4 15.1
T92 10560-10591 Sentence denotes Finland 8 48.4 78 5.5 14.1
T93 10592-10623 Sentence denotes Denmark 41 52 160 5.5 29.1
T94 10624-10657 Sentence denotes Luxembourg 83 37.6 30 0.6 50
T95 10658-10687 Sentence denotes Estonia 18 4.8 9 1.4 6.4
T96 10688-10719 Sentence denotes Iceland 18 45 11 0.37 29.7
T97 10720-10749 Sentence denotes Australia 2 73 81 24 3.3
T98 10750-10784 Sentence denotes New-Zealand 0.4 65 4 4.8 0.83
T99 10785-10818 Sentence denotes Ireland 53 57.6 165 4.9 33.7
T100 10819-10850 Sentence denotes Hungary 7 26.8 17 9.7 1.75
T101 10851-10883 Sentence denotes Israel 10 58.2 166 8.7 19.1
T102 10884-10916 Sentence denotes Lithuania 6 13.4 21 2.8 7.5
T103 10917-10956 Sentence denotes Czech Republic 10 20.3 96 10.5 9.1
T104 10957-10982 Sentence denotes Latvia 2 7.7 3 2 1.5
T105 10983-11008 Sentence denotes Serbia 8 11 112 7 16
T106 11009-11047 Sentence denotes Slovak republic 0.4 13 3 5.4 0.55
T107 11048-11078 Sentence denotes Turkey 11 7 1,552 82 18.9
T108 11079-11112 Sentence denotes Slovenia 21 11.8 34 2.1 16.2
T109 11113-11466 Sentence denotes Figure 1 Correlation between influenza vaccination percentage (age ≥ 65 years), and (cases per million population) vaccination percentage, (A) May 8, 2020, and (B) May 18, 2020. (C) Shows the case per-million value adjusted to tests performed (May 18, 2020) and (D,E) the data of June 1 2020. (F) Shows linear and logarithmic trendlines (July 4, 2020).
T110 11468-11519 Sentence denotes COVID-19 Mortality and Influenza Vaccination Status
T111 11520-11654 Sentence denotes There was a statistical correlation between the influenza vaccination status and the mortality of the COVID-19 illness (Figures 2A–H).
T112 11655-11720 Sentence denotes The latest R2 was 0.01 and logarithmic R2 was 0.0937 (Figure 2H).
T113 11721-11792 Sentence denotes The correlation graph shows vaccination status and mortality reduction.
T114 11793-11927 Sentence denotes When the mortality figures were adjusted to the case numbers/million population, the mortality benefit was significant (Figures 3A–I).
T115 11928-12008 Sentence denotes Correlation graphs showed a variance of about 25–34.6% toward mortality benefit.
T116 12009-12114 Sentence denotes The latest R2 value of July 4, 2020, was 0.338 (Figure 3I, upper line), and the logarithmic R2 was 0.416.
T117 12115-12202 Sentence denotes Though it is not a traditional R2 > 0.7, there are many parameters affecting mortality.
T118 12203-12428 Sentence denotes Since mortality is a major end point, and it can be affected by various parameters pertaining to baseline characteristics and clinical and demographic variations, the variance benefits from immunization alone are significant.
T119 12429-12515 Sentence denotes Hence, the results in Figure 3 correlation have a contribution to mortality reduction.
T120 12516-12662 Sentence denotes A correlation between vaccination and mortality/cases per-million adjusted to population (Figures 4A,D) showed an R2 of 0.13 (r = −0.367) to 0.14.
T121 12663-12760 Sentence denotes When it was further adjusted to the tests performed, the R2 was about 0.09 to 0.1 (Figures 4B,C).
T122 12761-13084 Sentence denotes Figure 2 Correlation between influenza vaccination percentage (age ≥ 65 years) and mortality per million population/vaccination percentage [(A) April 10, 2020, (B) April 15, 2020, lower panel April 20, 2020, (C) April 20, 2020, (D) April 25, 2020, (E) May 1, 2020, (F) May 8, 2020, (G) May 31, 2020, and (H) July 4, 2020].
T123 13085-13378 Sentence denotes Figure 3 Correlation between influenza vaccination percentage vs. [(deaths/million)/cases per million]/vaccination [(A) April 14, 2020, (B) April 17, 2020, (C) April 20, 2020, (D) April 25, 2020, (E) May 1, 2020, (F) May 8, 2020, and (G) May 18, 2020, (H) May 31, 2020, and (I) July 4, 2020].
T124 13379-13572 Sentence denotes Figure 4 Correlation between vaccination and death per million/cases per million adjusted to population [(A) May 18, 2020 and (D) May 31, 2020] and tests performed [(B) and (C), May 31, 2020].
T125 13574-13605 Sentence denotes Corrections for Tests Performed
T126 13606-13753 Sentence denotes Some countries have differences in their testing strategy, and the results were therefore further adjusted with tests performed/million population.
T127 13754-13859 Sentence denotes The correlation was performed after correction for tests performed/million people (Figure 5 and Table 2).
T128 13860-14263 Sentence denotes The vaccination parameter after correction for tests performed/million showed a variance of 23.3% (r2, Figure 5A; April 15, 2020), which increased to 25.9% (Figure 5B; April 20, 2020), and thereafter to 29.1 (Figure 5C; April 25, 2020), and 36.7% (Figure 5D, May 1, 2020); and the last values were 33% (Figure 5E, May 8, 2020), 30% (r = −0.55, Figure 5F, May 18, 2020) and 29% (Figure 5G, May 31, 2020).
T129 14264-14338 Sentence denotes There is also a tendency for more correlation as the pandemic is evolving.
T130 14339-14514 Sentence denotes When the tests performed were used as a devisor instead of multiplication, the R-value was about 0.16 (r = −0.4, Figure 6) with the latest being 0.176 (May 31, 2020—Figure 6).
T131 14515-14612 Sentence denotes The multiplication technique reflects the magnitude of the problem and the effect of vaccination.
T132 14613-14730 Sentence denotes The devisor technique demonstrates the impact of the quality of care and the modulation of immunization on mortality.
T133 14731-14779 Sentence denotes Therefore, both methods are useful for analysis.
T134 14780-14953 Sentence denotes When the death per million/cases per million parameters was adjusted to the populations of concerned countries, the R2-value ranged from 0.26 (r = −0.51) to 0.3 (r = −0.55).
T135 14954-15273 Sentence denotes Figure 5 Correlation between influenza vaccination percentage (age ≥ 65 years), vs. [(Deaths/million)/Cases per million]/Vaccination after correction for tests performed per million [(A), April 10, 2020, (B) April 20, 2020, (C) April 25, 2020, (D) May 1, 2020, (E) May 8, 2020, (F) May 18, 2020, and (G) May 31, 2020].
T136 15274-15369 Sentence denotes Table 2 Death/million population and tests performed/million population (Data April 14, 2020).
T137 15370-15509 Sentence denotes Country Latest influenza vaccination statistics Deaths in M/cases in M population (Deaths/cases) *100/influenza vaccination Tests/M
T138 15510-15534 Sentence denotes USA 67.5 4.0 5.9 8.8
T139 15535-15564 Sentence denotes Spain 53.7 10.5 19.5 12.8
T140 15565-15594 Sentence denotes Italy 52.7 12.8 24.3 17.3
T141 15595-15624 Sentence denotes Germany 34.8 2.4 7.0 15.7
T142 15625-15654 Sentence denotes France 49.7 10.9 22.0 5.1
T143 15655-15679 Sentence denotes Iran 25 6.3 25.1 3.4
T144 15680-15705 Sentence denotes UK 72.6 12.9 17.7 5.4
T145 15706-15732 Sentence denotes Chile 64.7 1.0 1.6 4.4
T146 15733-15761 Sentence denotes Belgium 31 13.4 43.1 8.8
T147 15762-15794 Sentence denotes Switzerland 38 4.5 11.7 22.3
T148 15795-15827 Sentence denotes Netherlands 64 10.8 16.8 6.7
T149 15828-15856 Sentence denotes Canada 61.1 3.1 5.1 11.5
T150 15857-15885 Sentence denotes Austria 14 2.7 19.5 16.8
T151 15886-15916 Sentence denotes Portugal 60.8 3.3 5.4 17.9
T152 15917-15950 Sentence denotes South Korea 82.7 1.9 2.3 10.2
T153 15951-15979 Sentence denotes Sweden 49.4 9.0 18.2 5.4
T154 15980-16008 Sentence denotes Norway 34.4 2.1 6.2 23.4
T155 16009-16037 Sentence denotes Finland 48.4 2.1 4.3 8.5
T156 16038-16065 Sentence denotes Denmark 52 4.6 8.9 12.7
T157 16066-16098 Sentence denotes Luxembourg 37.6 2.1 5.6 46.8
T158 16099-16128 Sentence denotes Estonia 4.8 2.2 46.3 24.3
T159 16129-16158 Sentence denotes Iceland 45 0.45 1.0 103.3
T160 16159-16188 Sentence denotes Australia 73 0.8 1.1 14.3
T161 16189-16220 Sentence denotes New-Zealand 65 0.7 1.1 13.5
T162 16221-16250 Sentence denotes Ireland 57.6 3.4 6.0 14.5
T163 16251-16280 Sentence denotes Hungary 26.8 8.3 30.9 3.7
T164 16281-16309 Sentence denotes Israel 58.2 1.0 1.8 13.5
T165 16310-16342 Sentence denotes Lithuania 13.4 2.3 17.1 15.6
T166 16343-16380 Sentence denotes Czech Republic 20.3 2.5 12.2 12.3
T167 16381-16409 Sentence denotes Latvia 7.7 0.9 11.2 15.3
T168 16410-16436 Sentence denotes Serbia 11 2.2 19.6 2.3
T169 16437-16472 Sentence denotes Slovak republic 13 0.26 2.0 5.5
T170 16473-16498 Sentence denotes Turkey 7 2.1 29.6 4.8
T171 16499-16530 Sentence denotes Slovenia 11.8 4.6 39.0 17.2
T172 16531-16598 Sentence denotes Figure 6 Mortality/Cases adjusted to tests by denominator (A,C,E).
T173 16599-16656 Sentence denotes Mortality/cases values adjusted to population in (B,D,F).
T174 16658-16727 Sentence denotes Influenza, Lower Respiratory Tract Infections, and COVID-19 Mortality
T175 16728-16809 Sentence denotes There were few countries with a small population that did not show a correlation.
T176 16810-16916 Sentence denotes A search was performed to analyze the incidence of influenza in countries that did not show a correlation.
T177 16917-17083 Sentence denotes Among the countries studied, Latvia, Serbia, Slovak, Turkey, Slovenia, Czech Republic, and Slovenia were the countries that showed no correlation with vaccine status.
T178 17084-17317 Sentence denotes In these countries, the incidence if flu was greater and perennial, i.e., throughout the year, as opposed to the seasonal pattern seen in other countries like Spain, Italy, Belgium, the Netherlands, Sweden, Scotland, and Luxembourg2.
T179 17318-17391 Sentence denotes The incidence of influenza in Turkey and neighboring countries was high3.
T180 17392-17530 Sentence denotes Also, different countries are in the various stages of disease presentation and spread, and they can hence differ in mortality statistics.
T181 17531-17809 Sentence denotes The Central and Eastern European and Central Asian countries have a high incidence of lower respiratory tract infections (LRIs), which are 41.4/1000, 81.2/1000, and 58.5/1000 compared to the high-income countries of North America (38.8/1000) and Western Europe (28.7/1000) (17).
T182 17810-18075 Sentence denotes In the elderly population, the statistical numbers for LRI are 120/1000, 203/1000, and 168.5/1000 for Central and Eastern European and Central Asian countries, respectively, when compared to the high-income 73.2/1000 in North America and 101/1000 in Western Europe.
T183 18076-18332 Sentence denotes Analyzing the data of children (<5 years) who play an essential role in herd immunity, the high-income nations have an LRI incidence of about 44.6/1000, Central and Eastern European counties have 107/1000, and Asian countries have an incidence of 120/1000.
T184 18333-18451 Sentence denotes Hence, in the Eastern European and Central Asian countries have higher LRI episodes and fewer COVID-19-related deaths.
T185 18452-18527 Sentence denotes This includes Russia, which is classified under Eastern European countries.
T186 18528-18751 Sentence denotes Similarly, Turkey, which is classified under North African and Middle Eastern countries, has overall LRI episodes of 56.5/1000, and the incidence is 133.2/1000 in the population of children and 246/1000 in the elderly (17).
T187 18752-18967 Sentence denotes South Korea has the highest vaccination rates of 82.7% in elderly vaccination (>65 years) and had an early incidence of the pandemic, has the least mortality compared to the early onset countries (worldometer data).
T188 18968-19077 Sentence denotes Some of South Korea's past data showed influenza vaccination rates up to 86% in the elderly (>65 years) (18).
T189 19078-19277 Sentence denotes In the US, adult (>18 years) vaccination rates were higher in the states of North Carolina, Washington, Iowa, Maryland, Connecticut, and the Massachusetts areas, with a mean vaccination rate of 52%4.
T190 19278-19406 Sentence denotes The mortality burden is lower in these states compared to other states within US, where the mean vaccination rate was about 47%.
T191 19407-19573 Sentence denotes Neighboring countries with similar climatic conditions like Belgium and the Netherlands have variations in mortality, i.e., 847/million and 358/million, respectively.
T192 19574-19697 Sentence denotes The vaccination status in the elderly (>65 years) differs between Belgium and the Netherlands at ~31 and 64%, respectively.
T193 19699-19758 Sentence denotes Closed Cohorts—US Military, Diamond Princess, Ruby Princess
T194 19759-19890 Sentence denotes Data from the US military cohort shows an incidence of coronavirus cases of 36,659 cases, and the mortality is at 56 cases to date.
T195 19891-19960 Sentence denotes The case-fatality ratio is 0.15%, which is the least (July 25, 2020).
T196 19961-20044 Sentence denotes Age distribution of the mortality statistics is not available for further analysis.
T197 20045-20225 Sentence denotes The military personnel are known for regular vaccination schedules, including influenza, Streptococcus pneumonia, and Hemophilus influenza, and this can represent useful data (19).
T198 20226-20297 Sentence denotes Better nutrition and improved physical health also add to this outcome.
T199 20298-20415 Sentence denotes US veteran COVID-19 worldometer data show a mortality rate of 1,999 out of 36,480 cases with a case fatality of 5.5%.
T200 20416-20584 Sentence denotes However, advanced age and more comorbidities like diabetes are associated, and the rate influenza vaccination was about 71–75%, extending to 82% in some subgroups (20).
T201 20585-20698 Sentence denotes The cruise ship Diamond Princess represents another closed cohort, and the vaccination details are not available.
T202 20699-20876 Sentence denotes Nevertheless, the average vaccination statistics can be assumed to be 50%; the average adult (>18 years) US data for vaccination is 48%, and Scotland has an average of 50% (21).
T203 20877-20929 Sentence denotes The total members on board including crew was 3,711.
T204 20930-21073 Sentence denotes A total of 712 cases of COVID-19 were reported, the mortality is about 13 cases to date, and seven patients are serious or critically ill (22).
T205 21074-21249 Sentence denotes However, a head-to-head comparison is not feasible as the population of the Diamond Princess who were > 70 age was 1,230 out of the total 3,711, and the mean age was 58 years.
T206 21250-21409 Sentence denotes The case-fatality ratio is 1.8%; however, it could be higher as the details of patients repatriated to various countries after dis-embarkment is not available.
T207 21410-21527 Sentence denotes The other cruise ship, Ruby Princess, had an incidence of 686, and the mortality number was 21 patients to date (23).
T208 21528-21559 Sentence denotes The case-fatality ratio was 3%.
T209 21560-21692 Sentence denotes Other cruise ships like MS Zaandam (Holland-America) reported fewer case numbers, and it was consequently not taken in for analysis.
T210 21694-21753 Sentence denotes Healthcare Professionals—Vaccination and COVID-19 Mortality
T211 21754-21841 Sentence denotes In the US, among the healthcare workers, the influenza vaccination rates are about 81%.
T212 21842-21932 Sentence denotes In particular, physicians (96.7%) and nurses (98.1%) have very high vaccine uptake rates5.
T213 21933-22033 Sentence denotes Among other allied healthcare professionals, however, the vaccine uptake rate ranges from 75 to 85%.
T214 22034-22169 Sentence denotes So far, the incidence among healthcare workers has been 113,730, and the mortality was 576 cases (July 25, 2020), which is 0.5% (<1%)6.
T215 22171-22204 Sentence denotes COVID-19—Critical Illness Numbers
T216 22205-22384 Sentence denotes When morbidity was analyzed (critical numbers/million population, Figures 7A–E), the correlation was lesser (Figure 7A), with a variance of 15.7% benefit by influenza vaccination.
T217 22385-22629 Sentence denotes A subsequent analysis after 1 week showed an increase in the equation's slope and intercept parameters (Figure 7B) with a variance of 19.1% and further values were 17% and 13.5% (Figures 7C,D) and the value was 7.3% on May 18, 2020 (Figure 7E).
T218 22630-22674 Sentence denotes There could be reasons for this observation.
T219 22675-22883 Sentence denotes Mortality is a discrete and finite variable, and the critical/serious position of the variable is a continuous variable subject to change with the progress of the disease, which could be improvement or death.
T220 22884-23060 Sentence denotes Hence, a better parameter to assess morbidity would be the total number of critical cases so far/population, which is an ideal parameter required for the morbidity correlation.
T221 23061-23155 Sentence denotes However, this parameter was not available for evaluation, which is a limitation of this study.
T222 23156-23380 Sentence denotes Figure 7 Correlation between influenza vaccination percentage and (critical number/million population)/vaccination percentage [(A) April 10, 2020, (B) April 18, 2020, (C) May 1, 2020, (D) May 7, 2020, and (E) May 18, 2020].
T223 23381-23721 Sentence denotes When the severe or critical case numbers were adjusted to the total number of cases per million population (case-morbidity ratio), the correlation was higher with an R2 of 0.41 (Figure 8A, worldometer data April 26, 2020) and a value fluctuating around 0.34 (r =-0.58, Figure 8; May 7, 2020) with the latest value being 0.31 (May 18, 2020).
T224 23722-23830 Sentence denotes The ratio of critical illness numbers to active case numbers also showed a declining trend with vaccination.
T225 23831-23927 Sentence denotes Figure 8E shows the R2 and logarithmic R2, which are 0.24 and 0.32, respectively (July 5, 2020).
T226 23928-23987 Sentence denotes This suggests a possibility for higher morbidity reduction.
T227 23988-24152 Sentence denotes When the morbidity parameters were studied in a gap of 24 h there were minimal changes in the R2 values (Supplementary Figure S1, 2020) of the morbidity parameters.
T228 24153-24219 Sentence denotes The exact nature of the critical illness is not reflected in data.
T229 24220-24438 Sentence denotes However, the primary parameter for morbidity or critical illness is the need for ventilators, oxygen, superadded infections, and multiorgan involvement as well as the presence of uncontrolled associated co-morbidities.
T230 24439-24514 Sentence denotes Hence, the vaccination strategy can reduce the critical illness parameters.
T231 24515-24765 Sentence denotes Figure 8 Correlation between influenza vaccination percentage, and [(critical number/million population)/(total cases per million)]/vaccination percentage [(A) April 26, 2020, (B) May 1, 2020, (C) May 8, 2020, (D) May 18, 2020 and (E) July 5, 2020].
T232 24767-24784 Sentence denotes COVID-19 Recovery
T233 24785-24894 Sentence denotes The recovery data was analyzed, and it was adjusted to the cases per million and tests performed per million.
T234 24895-25057 Sentence denotes The recovery data of the UK and Netherlands are not available in worldometer data to date (May 10, 2020), and some countries have not updated their recovery data.
T235 25058-25139 Sentence denotes Also, recovery is a soft parameter that is subjected to over- or under-reporting.
T236 25140-25416 Sentence denotes With the available data and removal of two extreme variables in data (> 4 or 5 times of the maximum), the graph obtained shows a benefit for vaccination (R2 0.06, after adjustment to tests, Supplementary Figure S2, lower panel, May 10, 2020), and R2 was 0.035 on May 18, 2020.
T237 25418-25431 Sentence denotes Herd Immunity
T238 25432-25536 Sentence denotes Antibody testing, when performed in New York, showed about 20% of the population developing antibodies7.
T239 25537-25714 Sentence denotes Similar tests performed in Sweden reveals antibody levels of about 7.3% with highest levels in Stockholm, and maximal antibody levels were seen in the age group 20 to 64 years8.
T240 25715-25837 Sentence denotes In both instances, the tests were performed in a limited number of subjects, i.e., 3,000 and 1,200 subjects, respectively.
T241 25838-25994 Sentence denotes In Spain, the seroprevalence of IgG antibodies for SARS-CoV-2 was only about 5% in general population, and, among healthcare workers, it was about 11% (24).
T242 25995-26088 Sentence denotes The neutralizing antibody levels tend to reduce to about 17% after 65 days of infection (25).
T243 26089-26244 Sentence denotes Tegnell's method of limited lockdown in Sweden, though it had higher mortality in the initial stages of coronavirus pandemic, could impact T-cell immunity.
T244 26245-26413 Sentence denotes The benefit could be more when supplementing with the H1N1 vaccine in the age group 20–64 years and protecting the elderly until herd immunity for COVID-19 is imminent.
T245 26414-26595 Sentence denotes T-cell-mediated immunity for SARS-CoV-2 would increase in asymptomatic or mild COVID-19 patients after COVID-19, and this has not yet been quantified in the general population (26).
T246 26596-26716 Sentence denotes The exact benefit of this method can be quantified as a comparison only when other countries ease the lockdown measures.
T247 26717-26880 Sentence denotes The other Scandinavian countries can administer the H1N1 vaccination in the adult population, which can reduce mortality, as most countries aim to reduce lockdown.
T248 26882-26892 Sentence denotes Proteomics
T249 26893-27198 Sentence denotes A transcriptomic analysis of the host response showed an overlapping expression of differentially expressed genes (DEGs), genetic ontology (GO) terms, and protein–protein interaction (PPI) networks in response to COVID-19, SARS CoV, MERS CoV, Ebola, and H1N1 infections [(27) and Supplement Reference S1].
T250 27199-27392 Sentence denotes From the gene network analysis, we could see the uniquely shared GO terms or DEGs associated with the host response of COVID-19 were H1N1-18, MERS CoV-38, SARS-CoV-20, and 28 for Ebola viruses.
T251 27393-27574 Sentence denotes Among the unique shared genes in the host response, the overlaps between COVID-19 and other infections were H1N1 (43), MERS-CoV (112), SARS-CoV (30), and 116 for Ebola viruses (27).
T252 27575-27826 Sentence denotes The PPI network and gene enrichment analysis showed an overlap of genes associated with MMP9, ICAM1, IL-6, CXCL1, TNF, CXCL8, TLR1, IRF 7, VEGF A, and TLR2, which were expressed variably with significant overlap [(27, 28) and Supplement Reference S1].
T253 27827-27962 Sentence denotes The T-cell and B-cell response and cytokine secretion pathways also exhibited overlaps between influenza A viruses and SARS-CoV-2 (28).
T254 27963-28103 Sentence denotes Among the five organisms, only H1N1 has an available vaccine, and the vaccines of other organisms are in the research and development stage.
T255 28104-28199 Sentence denotes The H1N1 vaccine administration can thus prepare the host gene response to COVID-19 infections.
T256 28200-28377 Sentence denotes Also, H1N1 vaccine-induced stem antibodies can inhibit the stem of hemagglutinin and the neuraminidase segment, which is an exhibition of pleiotropic effect of the vaccine (29).
T257 28379-28466 Sentence denotes Lower Respiratory Tract Infections (LRI)—Streptococcus pneumoniae and Influenza Viruses
T258 28467-28647 Sentence denotes The incidence of influenza, viral, and bacterial lower respiratory tract infections (LRIs) is much higher in South and Southeast Asian countries than in Western countries (17, 30).
T259 28648-28810 Sentence denotes Among the viral lower respiratory tract infections, respiratory syncytial viruses (3.4/1000) and influenza virus infections (5.3/1000 people) are common (17, 30).
T260 28811-28918 Sentence denotes Among the bacterial infections, Streptococcus pneumonia infections (26.7/1000) are the most prevalent LRIs.
T261 28919-29076 Sentence denotes In the elderly, the incidence of Streptococcus pneumonia LRI is 72.8/1000, the influenza virus is 15.8/1000, and the respiratory syncytial virus is 3.4/1000.
T262 29077-29277 Sentence denotes The South and Southeast Asian countries have a high incidence of LCIs, 48.8 episodes/1000 population, and 45.9/1000 compared to high-income northern America (38.8/1000) and western Europe (28.7/1000).
T263 29278-29467 Sentence denotes In the elderly population, the statistical numbers for LRIs are 230/1000 and 181/1000 when compared to high-income North America, including Canada (73.2/1000) and Western Europe (101/1000).
T264 29468-29556 Sentence denotes Hence, in the elderly population, the dichotomy between these countries/regions is more.
T265 29558-29597 Sentence denotes Comparison of Various Regions With LRIs
T266 29598-29910 Sentence denotes For comparison, high-income Asian countries, including South Korea, Brunei, Singapore, and Japan, have LRI death rates (109,683/year) similar to high-income North American countries, including Canada (105,127 deaths/year) and comparable to Western Europe, which comprises of 22 countries, at 138 945 deaths/year.
T267 29911-30081 Sentence denotes In South Asian countries (India, Pakistan, Nepal, Bangladesh, Bhutan, and Afghanistan), it is 589,653 deaths/year, and, in Southeast Asia, it is 209,873 deaths/year (17).
T268 30082-30230 Sentence denotes Moreover, these published results are well-documented and organized data from reputed centers, predominantly from the urban and suburban population.
T269 30231-30287 Sentence denotes In the rural community, the differences would be higher.
T270 30288-30351 Sentence denotes Influenza vaccination rates are lower in South Asian countries.
T271 30352-30496 Sentence denotes Since influenza and LRIs are very common, and they will also have high herd immunity for influenza viruses, the vaccination may not be required.
T272 30497-30582 Sentence denotes Furthermore, overcrowding increases the spread of lower respiratory tract infections.
T273 30583-30652 Sentence denotes Since diseases themselves are high, the need for vaccination is less.
T274 30653-30748 Sentence denotes Also, the mortality rates of COVID-19 could increase in these countries in the next few months.
T275 30749-30965 Sentence denotes However, the population-adjusted COVID-19 deaths would be significantly lower compared to Western countries, which have higher mortality due to the lower incidence of influenza and other respiratory tract infections.
T276 30966-31066 Sentence denotes South Korea, Australia, and New Zealand have emerged successfully so far with lower mortality rates.
T277 31067-31138 Sentence denotes Analyzing the vaccination statistics of these countries is interesting.
T278 31139-31184 Sentence denotes South Korea has a vaccination rate of 82–86%.
T279 31185-31294 Sentence denotes New Zealand and Australia have a vaccination rate of about 65 and 73%, respectively, in age groups >65 years.
T280 31295-31425 Sentence denotes The overall incidence of lower respiratory tract infections in high-income Asian countries is 45%, and it is 43.8% in Australasia.
T281 31426-31661 Sentence denotes Among the elderly, the LRI rates are 120.6 episodes/1000 and 165.6/1000 in high-income Asian countries and Australasia, respectively, compared to high income in North America and western Europe, which are 73.2/1000 and 101.3/1000 (15).
T282 31662-31834 Sentence denotes Hence, these countries (South Korea and Australasia) have higher LRI's and also higher vaccination rates, the combination of which could have helped to achieve the results.
T283 31835-31988 Sentence denotes Moreover, these countries are known for their efficient testing and confinement methods, and the current results are of the early stages of the pandemic.
T284 31989-32165 Sentence denotes The central Latin American countries (including Mexico) document a lesser incidence of LRI deaths (43,191 deaths/year or 111/1000 people) and lower influenza vaccination rates.
T285 32166-32267 Sentence denotes The pandemic started late in Mexico, and it is reporting an increasing number of cases and mortality.
T286 32268-32403 Sentence denotes Andean Latin American countries and Tropical Latin American countries like Brazil have higher LRI episodes and lower vaccination rates.
T287 32404-32486 Sentence denotes There is a gradual fall in the incidence of H1N1 in Peru, especially in Lima (31).
T288 32487-32616 Sentence denotes Also, they have higher mortality than Asian countries but less so than Western European and high-income North American countries.
T289 32617-32868 Sentence denotes In Andean Latin American countries (Peru, Bolivia, and Ecuador), even though the LRI episodes are more frequent, they have a vast land area, and there is significantly less overcrowding; the herd immunity for influenza would thus also be less present.
T290 32869-33041 Sentence denotes The population density is 26 Persons (P)/km2 for Peru and 25 P/km2 for Brazil, whereas that of India is 464 P/km2, Pakistan is 287 P/km2, and the United States is 36 P/km2.
T291 33042-33324 Sentence denotes Central, Tropical, and Andean Latin American countries, based on this analysis, are thus also vulnerable, though less so than Western Europe and high-income North America, and it is advisable that we enhance a vaccination with H1N1 with or without a Streptococcus pneumonia vaccine.
T292 33326-33361 Sentence denotes COVID-19 Mortality in Small Regions
T293 33362-33635 Sentence denotes Among smaller regions, COVID-19 death rates in Andorra (673/million population), the Isle of Man (282/million), San Marino (1238/million), the Channel Islands (270/million), and Bermuda (145/million), which are located in the regions of Western Europe and the US, are high.
T294 33636-33744 Sentence denotes Sint Maarten with 350/million (Netherlands) and Montserrat with 200/million (UK) also have higher mortality.
T295 33745-33878 Sentence denotes These small regions record a disproportionately higher mortality rate compared to other small countries with a comparable population.
T296 33880-33906 Sentence denotes Influenza-Attributable LRI
T297 33908-33952 Sentence denotes High-Income North America and Western Europe
T298 33953-34077 Sentence denotes How attributable LRIs are to influenza was studied by the counterfactual method in the Global burden of disease study (GBD).
T299 34078-34296 Sentence denotes From the published article, it could be observed that Western Europe (137.5/100,000, CI 104–174) and high-income North America (281/100,000 population, CI 197–381) have a lower incidence of influenza-attributable LRIs.
T300 34297-34458 Sentence denotes Countries like Spain (91, CI 65–120), Italy (63, CI 44–85), France (134, CI 95–182), and the UK (222, CI 158–257) have low influenza LRIs per 100,000 population.
T301 34459-34872 Sentence denotes In the UK, Northern Ireland (139), Wales (132), and Scotland (163) have lower values compared to England (237) per 100,000.40 Among the Scandinavian countries, the influenza LRI rates per 100,000 were 490 for Norway, 191 for Finland, 137 for Denmark, and 167 for Sweden, 40 and their COVID-19 mortality rates were 47/million for Norway, 106/million for Denmark, 59/million for Finland, and 564/million for Sweden.
T302 34874-34897 Sentence denotes Rest of Europe and Asia
T303 34898-35178 Sentence denotes Central Europe (358, 251–488), Eastern Europe (2,399, CI 1717–3205), South Asia (1,063, CI 725–1,479), Southeast Asia (1591, CI 1118–2160), Central Asia (1292, CI 853–1652), North Africa, and the Middle East (775, CI 529–1077) have high influenza LRIs per 100,000 population (32).
T304 35179-35245 Sentence denotes High-income Asian Pacific countries have 146/100,000 (CI 102–197).
T305 35246-35314 Sentence denotes The high-income Asian Pacific group has a lower influenza incidence.
T306 35315-35417 Sentence denotes The influenza LRI incidence is 145/100,000 (CI 98–193) in Japan and 173.7/100,000 (118–241) in Brunei.
T307 35418-35542 Sentence denotes South Korea has the highest vaccination among the elderly but has an influenza LRI incidence of 141.6/100,000 (CI 99–192.5).
T308 35543-35590 Sentence denotes Singapore has an incidence of 290 (CI 204–390).
T309 35591-35636 Sentence denotes However, the population density is very high:
T310 35637-35771 Sentence denotes South Korea has 510, Singapore 8,300, Brunei 81, and Japan 347 P/Km2, which could catalyze a herd immunity response against influenza.
T311 35772-35903 Sentence denotes In the high-income Asian Pacific group, Japan and Brunei are vulnerable to COVID-19 mortality due to lower influenza LRI incidence.
T312 35904-36001 Sentence denotes However, the reported COVID-19 death rate to date is very low (8/million) in these two countries.
T313 36002-36129 Sentence denotes In Singapore, though the influenza incidence is low (290/100,000), compared to South and Southeast Asian countries, it is less.
T314 36130-36236 Sentence denotes The COVID-19 mortality rate lower at present, but, as the pandemic evolves, the mortality rate could rise.
T315 36238-36262 Sentence denotes Latin American Countries
T316 36263-36462 Sentence denotes Central Latin American countries (443, CI 304–615) and Andean Latin American countries (695, CI 477–961) have higher rates of influenza attributable to lower respiratory tract infections per 100,000.
T317 36463-36728 Sentence denotes Peru 692.9 (CI 477 to 957), Ecuador 748 (CI 512 to 1037), Bolivia 622 (CI 426 to 863) are associated with comparatively higher influenza rates/100,000 based on GBD data (2017), yet with a higher COVID 19 mortality 394, 299, 180/million respectively (July 17, 2020).
T318 36729-36869 Sentence denotes The death may selectively happen in areas falling at the lower side of the confidence intervals in these countries, which has to be studied.
T319 36870-36957 Sentence denotes Also there is a decreasing pattern of influenza in these countries in the last 2 years.
T320 36958-37026 Sentence denotes Peru and Ecuador have lower population density, as discussed before.
T321 37027-37097 Sentence denotes Adjacent countries like Brazil and Paraguay differ in mortality rates:
T322 37098-37272 Sentence denotes Brazil's rate is 208/million, and Paraguay's is 2/million population, and their influenza LRI incidences are 268 (CI 181–378) and 738 (CI 498–1034) per 100,000, respectively.
T323 37273-37418 Sentence denotes Taiwan (province of China) had high influenza rates of 976/100,000 (CI 681–1315) and has very little COVID-19 mortality (0.3/million population).
T324 37419-37500 Sentence denotes Also, Taiwan recorded the highest influenza mortality of 12.2/100,000 cases (32).
T325 37501-37641 Sentence denotes The influenza-attributable LRIs in Vietnam were high at 3,710/100,000 (CI 2,537–5,141), but so far, no COVID-19 mortality has been reported.
T326 37642-37925 Sentence denotes Poland (147, CI 101–200), Brunei (173, CI 118–241), Japan (141, CI 98–193), China (151, CI 104–208), Nicaragua (209, CI 139–296), and, among the African countries, Mozambique (297, CI 201–419) and Ethiopia (329, CI 223–454) have lower influenza LRI incidences per 100,000 population.
T327 37926-38030 Sentence denotes As the pandemic evolves, these countries may encounter higher degrees of severity of COVID-19 infection.
T328 38031-38253 Sentence denotes In China, though the infections were successfully controlled in Wuhan in the past, the influenza LRI episodes reported are less 151/100,000, and COVID-19's susceptibility and severity could be high as the pandemic evolves.
T329 38254-38369 Sentence denotes Of late, there has been a mild spike of cases in the Xinjiang province (Urumqi), which could be an early indicator.
T330 38370-38507 Sentence denotes Australia (125, CI 86–71) and New Zealand (193, CI 132–267) are associated with fewer influenza-attributable LRIs per 100,000 population.
T331 38508-38664 Sentence denotes Though these countries have initial success, cases would surge after lockdown, and there is a need for H1N1 vaccination in the adult and elderly population.
T332 38665-38844 Sentence denotes North Africa (775, CI 529–1,099) and Sub-Saharan countries (590, 408–510) have high rates of influenza LRIs per 100,000, and these countries also have higher population densities.
T333 38845-39018 Sentence denotes Since the entire data is obtained from the contra factual strategy with a predictive regression model, the values of influenza attributable to LRIs may not be very accurate.
T334 39020-39085 Sentence denotes Correlation of Influenza-Attributable LRIs and COVID-19 Mortality
T335 39086-39191 Sentence denotes Figure 9 shows the incidence of influenza-attributable LRI in population (32) and the COVID-19 mortality.
T336 39192-39251 Sentence denotes In the Figure 9, for China, only Wuhan population was used.
T337 39252-39360 Sentence denotes When the influenza incidence is <250 episodes/100,000, a significant rise in COVID-19 mortality is observed.
T338 39361-39634 Sentence denotes Belgium, Andorra, the UK, Spain, Italy, Sweden, China, France, the USA, the Netherlands, Ireland, Brazil, Canada, Switzerland, Luxembourg, Mexico, Portugal, Panama, Macedonia, Denmark, and Austria (Figure 9) are the countries seeing decreasing levels of COVID-19 mortality.
T339 39635-39766 Sentence denotes Figure 9 Correlation of influenza incidence/100,000 population and COVID-19 mortality/million population (n = 182, June 21, 2020).
T340 39767-39887 Sentence denotes In the influenza incidence segment of 500–1,000/100,000, the COVID-19 mortality rate was <100/100,000 in most countries.
T341 39888-40065 Sentence denotes Ecuador, Peru, and Chile were the exception, and they had mortality rates of about 230/million, and Bermuda and Iran showed mortality rates of 145 and 115/million, respectively.
T342 40066-40295 Sentence denotes Ecuador, Peru, and Chile has population densities of about 25P/Km2 each, and, though they had higher influenza rates due to a lower population density, they therefore do not benefit from an active herd immunity against influenza.
T343 40296-40518 Sentence denotes In countries with higher rates of influenza, such as incidences >1,000/100,000, only Armenia and Moldova were exceptions with a mortality >100/million, and they have a population density of 103 and 123 P/Km2, respectively.
T344 40520-40601 Sentence denotes Receiver Operating Characteristic Curve Analysis—Influenza vs. COVID-19 Mortality
T345 40602-40800 Sentence denotes The receiver operating characteristic curve (ROC) analysis (Figure 10) showed an increasing trend in the area under the curve (AUC), and, for predicting the mortality >150/million, the AUC was 0.86.
T346 40801-40899 Sentence denotes The AUC for predicting mortality >200/million is 0.85 for decreasing levels of influenza episodes.
T347 40900-41074 Sentence denotes At the cut-off value of 290 influenza LRI episodes/100,000, the sensitivity was 79% (CI 0.56–0.92), and the specificity was 88% (CI 0.82–0.92) to indicate COVID-19 mortality.
T348 41075-41161 Sentence denotes Hence, the lower influenza LRI incidence is associated with higher COVID-19 mortality.
T349 41162-41498 Sentence denotes Figure 10 Receiver Operating Characteristics (ROC) curve analysis of the influenza incidence and the mortality rates of COVID-19 (cut-off mortality rate at 50/million, area under the curve-AUC 0.72; (A) 75/million, AUC 0.78, (B) 100/million, AUC 0.81, (C), 150/million, AUC 0.86, (D) 200/million, AUC 0.85, and (E) Data June 21, 2020).
T350 41499-41620 Sentence denotes A logistic regression model, including influenza LRI incidence and population density on COVID-19 mortality, was studied.
T351 41621-41721 Sentence denotes The population density of countries with COVID-19 mortality had no statistically significant impact.
T352 41722-42175 Sentence denotes To predict COVID-19 mortality >100/million population by influenza incidence/100,000, the odds ratio was −0.78 (CI −1.2 to −0.394, P < 0.0001) whereas, for the population density it was −0.08 (CI −0.69 to +0.13, P = 0.62); to predict a COVID-19 mortality of >200/million population, the odds ratio for influenza incidence/100,000 was −1.5 (CI −2.42 to −0.81, P < 0.0001), whereas, for the population density it was −0.277 (CI −1.65 to +0.128, P = 0.59).
T353 42176-42284 Sentence denotes Though population density does not impact COVID-19 mortality, it can have an impact on individual countries.
T354 42286-42319 Sentence denotes COVID-19 Mortality/Influenza LRIs
T355 42320-42493 Sentence denotes Subsequently, analysis of COVID-19 mortality and influenza LRI episodes continued to show a correlation between the two parameters (Figure 11), which showed a similar trend.
T356 42494-42753 Sentence denotes When the significance of the influenza parameter is increased using the X (Influenza LRIs) and Y/X (COVID-19 mortality/influenza LRIs) correlation method, there was a higher increasing trend in mortality in countries with fewer influenza episodes (Figure 12).
T357 42754-43064 Sentence denotes ROC-curve statistics showed a beneficial trend to indicate COVID-19 death by use of the influenza LRIs and COVID-19 mortality of 100, 125, 150, and 200/million population with the area under the curves (AUC) being 0.787, 0.769, 0.795, and 0.879, respectively (Figures 13A–D, P < 0.0001, for all, July 9, 2020).
T358 43065-43276 Sentence denotes When the Influenza LRI episodes were marked to indicate the COVID-19 mortality/influenza LRI episodes parameter >500 and >1,000, the AUCs were 0.951 and 0.943, respectively (Figures 13E,F, P < 0.0001, for each).
T359 43277-43578 Sentence denotes In logistic regression analysis, population density did not correlate (OR −0.33, CI −1.43 to 0.77, P = 0.558) with COVID-19 mortality (COVID-19 mortality/influenza LRI episodes >1,000, July 9, 2020), whereas influenza LRI's events were significantly associated (OR −3.8, CI −5.98 to −1.67, P = 0.001).
T360 43579-43763 Sentence denotes For COVID-19 mortality/influenza LRI episodes >500, the Influenza LRI values were OR −3.8, CI −5.7 to −1.9, P < 0.0001, and population density OR was −0.45 (CI −1.54 to 0.64, P = 0.4).
T361 43764-43932 Sentence denotes To predict the parameter, the COVID-19 mortality/Influenza LRI episodes*1,000 value > 1,000, the influenza LRI parameter had an odds ratio of −3.83 (CI −5.98 to −1.67).
T362 43933-44399 Sentence denotes To predict COVID-19 mortality >100/million population by influenza incidence/100,000 (July 9, 2020), the odds ratio was −0.79 (CI −1.2 to −0.38, P < 0.0001), whereas, for the population density, it was −0.09 (CI −0.42 to +0.24, P = 0.59); to predict COVID-19 mortality of >200/million population, the odds ratio for influenza incidence/100,000 was −1.86 (CI −2.75 to −0.96, P < 0.0001), whereas, for the population density, it was −0.35 (CI −1.4 to +0.69, P = 0.51).
T363 44400-44525 Sentence denotes Figure 11 Correlation of Influenza LRI's/100,000 (x) vs. COVID-19 Mortality in various countries (y) (July 8, 2020 n = 182).
T364 44526-44655 Sentence denotes Figure 12 Correlation of Influenza LRI's/100,000 (x) vs. Variable (y), COVID-19 Mortality/Influenza LRI, July 8, 2020 (n = 182).
T365 44656-44916 Sentence denotes Figure 13 ROC curve statistics of Influenza and COVID-19 mortality (A–D), and ROC curve of influenza LRI vs. parameter (COVID-19 Mortality/Influenza LRI) (July 8, 2020) for (COVID-19 mortality/influenza*1,000) parameter >500 and > 1,000 [(E,F), respectively].
T366 44917-45145 Sentence denotes Countries with a COVID-19 mortality rate lower than 300/million with fewer influenza LRI episodes could experience a surge in cases and deaths when they ease their lockdown measures (co-ordinates of countries in Figures 11, 12).
T367 45146-45252 Sentence denotes They are also susceptible to more mortality if there is a surge of a second wave, which could be imminent.
T368 45253-45374 Sentence denotes However, in general, influenza vaccination should be useful to all since influenza LRI episodes have a protective effect.
T369 45376-45437 Sentence denotes Burden of Streptococcus pneumonia LRIs and COVID-19 Mortality
T370 45438-45698 Sentence denotes In the current scenario, the spread of the coronavirus and problems are higher in countries where the Streptococcus pneumonia infection rates are low, i.e., <100/DALYs/100,000 (DALY-disability adjusted life years), with only a few countries being an exception.
T371 45699-45871 Sentence denotes The mortality of COVID-19 is higher in countries with lower rates of respiratory tract infection and lower rates of bacterial and viral infections (<200 DALYs/100,000) (8).
T372 45872-46006 Sentence denotes Italy, Spain, and some neighboring countries recorded the lowest number of Streptococcus pneumonia infections (<10 DALYs/100,000) (8).
T373 46007-46093 Sentence denotes South American, African, and many Asian countries have a rate of >1,000/DALYs/100,000.
T374 46094-46282 Sentence denotes The current COVID-19 case-fatality rates (June 26, 2020 worldometer) are 7.98% in Europe, 5.6% in North America, 3.92% in South America, 2.6% in Africa, 2.5% in Asia, and 1.36% in Oceania.
T375 46283-46482 Sentence denotes Further latest data (Supplementary Figures S3–9, July 31 and August 1, 2020) are available in the accompanying supplement, which shows a similar pattern of influenza incidence and Covid-19 mortality.
T376 46483-46550 Sentence denotes Population density did not have any effect on the Covid-19 outcome.
T377 46551-46833 Sentence denotes However, the product influenza incidence* population density has an impact on Covid-19 mortality, i.e., decreasing product values were associated with higher Covid-19 mortality (Supplementary Figure S3, logistic regression odd's ratio −2.7 CI −4.86 to −0.53, P = 0.01, ROC AUC 0.7).
T378 46834-47107 Sentence denotes The case incidence (Supplementary Figure S4), mortality (Supplementary Figure S5), and case-fatality ratio (Supplementary Figure S6) were showing beneficial patterns as before, and the benefits were reduction by 24%, 9% and 40% (Logarithmic R-square values, July 31, 2020).
T379 47108-47284 Sentence denotes Supplementary Figure S7 shows a recent rise in Covid-19 mortality, especially in Peru, Chile, Bolivia, Ecuador, Iran etc., in the influenza incidence segment 500 to 700/100000.
T380 47285-47385 Sentence denotes After that, the influenza parameter's significance was increased in Covid19 mortality/ Influenza Vs.
T381 47386-47415 Sentence denotes Influenza, i.e., in a Y/X Vs.
T382 47416-47542 Sentence denotes X fashion; the higher values of the parameter, were seen in locations with less influenza incidence (Supplementary Figure S8).
T383 47543-47841 Sentence denotes ROC curve to indicate Covid-19 mortality (>200/million) showed similar results with slight truncation (AUC 0.764, P < 0.0001 for > 200/million Covid-19 mortality and AUC 0.782, P < 0.0001 for > 250/million Covid-19 death) primarily due to rising cases in countries shown in Supplementary Figure S7.
T384 47842-48249 Sentence denotes Logistic regression showed an odd's ratio of −0.8 (−1.24 to −0.36, P < 0.0001) for influenza parameter to indicate Covid-19 mortality and for the parameter Covid-19 mortality/ Influenza >1000, influenza parameter has an odd's ratio of −3.44 (CI −5.52 to 1.35 P = 0.001) and for the parameter Covid-19 mortality/ Influenza >500, influenza parameter has an odd's ratio of −2.68 (CI −3.86 to 1.498, P = 0.001).
T385 48250-48536 Sentence denotes In a study, influenza vaccination is effective in reducing Covid-19 mortality in a small cohort of about 30,000 patients with an odd's ratio reduction for Covid-19 death of 17%, the need for ventilators by about 18%, and the need for critical care by about 8% (Supplement Reference S2).
T386 48537-48650 Sentence denotes Interestingly, in some of these patients, influenza vaccination was also given at the onset of Covid-19 symptoms.
T387 48651-48806 Sentence denotes Supplement Figure S9 shows the latest (August 1, 2020) statistics on Covid-19 mortality/influenza incidence, which is similar to the previous observations.
T388 48807-48918 Sentence denotes In the logistic regression analysis, the influenza LRI parameter was associated with a significant odd's ratio.
T389 48919-48995 Sentence denotes The population density had a trend to be associated with Covid-19 mortality.
T390 48996-49066 Sentence denotes However, it was not statistically significant (Supplement Figure S10).
T391 49067-49236 Sentence denotes Population density * influenza LRI incidence parameter shows a unique pattern wherein lower values were associated with higher Covid19 mortality (Supplement Figure S11).
T392 49237-49433 Sentence denotes The influenza LRI incidence*population density parameter had an odds ratio of −2.5 (−4.78 to −0.217, P = 0.03, August 1, 2020, Supplement Figure S12) to indicate a Covid-19 mortality >250/million.
T393 49434-49739 Sentence denotes Similar results were seen with logistic regression for the parameters of Covid-19 mortality >250/million, >200/million, and death every <3000 × people, which was performed on August 14, 2020, using the parameters-influenza LRI incidence, population density, and population numbers (Supplement Figure S13).
T394 49740-49941 Sentence denotes The Supplement Figure S14 (August 14, 2020) shows the logistic regression analysis results for the influenza LRI parameter to indicate Covid19 mortality, i.e., mortality every <2000 and <5000 × people.
T395 49942-50094 Sentence denotes Population density * influenza LRI parameter had statistical significance (odd's ratio −1 CI −2 to 0, P = 0.048) to show mortality every <6000 × people.
T396 50095-50218 Sentence denotes It also showed a trend toward significance with Covid-19 death cut off in every <5000 and <3000 × people (August 15, 2020).
T397 50219-50377 Sentence denotes Individually influenza LRI parameter was significantly associated with Covid19 mortality for all cut-off values with a good model fit (Supplement Figure S15).
T398 50378-50607 Sentence denotes Lower respiratory tract infections' incidence and mortality in various WHO regions (Supplement Figure S16, August 16, 2020) showed a higher incidence of LRIs and LRI related mortality were associated with lower Covid19 mortality.
T399 50608-50721 Sentence denotes Supplement Table S1 shows the latest Covid19 mortality, influenza vaccination rates, and population in a million.
T400 50723-50733 Sentence denotes Discussion
T401 50734-50839 Sentence denotes This study identifies a mild beneficial correlation between influenza vaccination and COVID-19 mortality.
T402 50840-51009 Sentence denotes The incidences of influenza-attributable LRIs and lower respiratory tract infections, especially of Streptococcus pneumonia, are associated with less COVID-19 mortality.
T403 51010-51199 Sentence denotes In the cohort of US military who receive influenza vaccination regularly (≅100%) and health care professionals with high vaccination rates (about 81%), the COVID-19 mortality is the lowest.
T404 51200-51316 Sentence denotes The US military cohort is a well-monitored cohort, and it includes mortality associated with various co-morbidities.
T405 51317-51525 Sentence denotes This is unlike in a similar general population cohort in any country, where death at home and other associated conditions like acute cardiovascular, cerebrovascular events, etc. may not be included or tested.
T406 51526-51659 Sentence denotes With the highest influenza vaccination rates (82 to 86%, age ≥ 65 years), South Korea has consistently low mortality in the pandemic.
T407 51660-51795 Sentence denotes The possible mechanism of protection is possibly by modulating the immunity of the individuals, which could be innate or adaptive (11).
T408 51796-52003 Sentence denotes There is thus a possibility for an influenza (H1N1) vaccine for partial protection against coronaviruses, especially in countries with a low incidence of lower respiratory tract infections or influenza LRIs.
T409 52004-52100 Sentence denotes In appropriate circumstances, a Streptococcus pneumonia vaccine can be also be supplemented (9).
T410 52101-52202 Sentence denotes Recent study shows a significant declining trend in the antibody levels after primary infection (33).
T411 52203-52282 Sentence denotes Hence, H1N1 vaccination would be a useful measure to reduce COVID-19 mortality.
T412 52283-52428 Sentence denotes High-income countries or countries with a low incidence of LRIs or influenza-attributable LRIs thus depend on influenza vaccination for immunity.
T413 52429-52704 Sentence denotes Influenza vaccination is therefore recommended in these high-income countries of North America, including Canada, and Western Europe (including the UK and Scandinavia) for the adult population alongside enhancement of immunization for the elderly to reduce COVID-19 severity.
T414 52705-52806 Sentence denotes Central Latin American and Andean Latin American countries would also benefit from H1N1 immunization.
T415 52807-52926 Sentence denotes Australia, New Zealand, Brazil, China, Japan, Poland, and Brunei would also to benefit from this immunization strategy.
T416 52927-53123 Sentence denotes In low-income countries, high-risk and high-income groups could be vaccinated to extrapolate the benefits of these observations since the mortality benefit for COVID-19 is a significant end-point.
T417 53124-53301 Sentence denotes Therefore, even in low-income countries with a higher incidence of influenza, until a dedicated vaccination for COVID-19 is available, H1N1 immunization would a useful strategy.
T418 53303-53330 Sentence denotes COVID-19 Case-Fatality Rate
T419 53331-53456 Sentence denotes In the case fatality (mortality/cases) rate, the influenza LRI parameter was consistently associated with COVID-19 mortality.
T420 53457-53598 Sentence denotes The denominator of the case fatality rate, i.e., the incidence of COVID-19 instances, is dependent on the number of COVID-19 tests performed.
T421 53599-53720 Sentence denotes In many of the low-income countries, the COVID-19 tests performed are less compared to the high-income western countries.
T422 53721-53848 Sentence denotes Hence, if a correction is performed, the case-fatality rate associated with low influenza LRI parameter values would be higher.
T423 53850-53866 Sentence denotes Influenza Burden
T424 53867-53934 Sentence denotes The current study focusses on LRIs and influenza-attributable LRIs.
T425 53935-54099 Sentence denotes The overall burden of influenza could vary, and it is based on the reportage in hospitals and healthcare system, which differs significantly in different countries.
T426 54100-54396 Sentence denotes Germany experienced influenza-attributable medically attended acute respiratory illness (iMAARI) in the 2018/2019 season in about 3,800,000 (CI 3.0 to 4.6 million) people, and physician-certified influenza-associated incapacities to work were estimated to be 2.3 million (CI 2.1 to 2.5 million)9.
T427 54397-54461 Sentence denotes A sizable number would have minimal symptoms or be asymptomatic.
T428 54462-54578 Sentence denotes Also, the avian influenza incidence was higher especially in the eastern sides of Germany (Supplement Reference S3).
T429 54579-54625 Sentence denotes Germany has a population density of 240 P/Km2.
T430 54626-54766 Sentence denotes Influenza-attributed illness is much higher than the calculated GBD data, which is determined as 101,000 LRI episodes in a year (2017) (32).
T431 54767-54948 Sentence denotes The higher incidence of influenza could be the immunological mechanism of Germany's lower mortality rates despite lower influenza vaccination rates (37%) in the elderly (≥65 years).
T432 54949-55062 Sentence denotes Israel's influenza LRI incidence by GBD data is 83.2/100,000, and it is susceptible to higher Covid-19 mortality.
T433 55063-55197 Sentence denotes The current incidence of influenza in Israel by Israel CDC data, including all age groups, is about 65/10 000, or 650/100,000 in 2020.
T434 55198-55278 Sentence denotes This could possibly be the reason for current low mortality in Israel as well10.
T435 55279-55464 Sentence denotes Nevertheless, in both Germany and Israel, since the GBD data shows a lower incidence of influenza (<150/100,000), there is a susceptibility for higher mortality as the pandemic evolves.
T436 55465-55721 Sentence denotes Among Peru, Bolivia and Ecuador, there is a significant reduction of the number and frequency of samples positive for influenza in the last two years, i.e., 2018 to 2020 compared to the previous four years (https://apps.who.int/flumart/Default?reportNo=7).
T437 55722-55820 Sentence denotes Possibly this reduction of the trend in influenza could reflect higher Covid-19 mortality results.
T438 55821-56106 Sentence denotes Also, in these three countries, the influenza mortality (2.8, 1.7, and 2.3/100,000 respectively) and hospitalization rates (37, 36, and 30/100,000 respectively) are comparable to or less than those in High-income North America and Western Europe reflecting a reducing influenza burden.
T439 56107-56171 Sentence denotes New Zealand also has a similar trend with the influenza samples.
T440 56172-56397 Sentence denotes Australia, New Zealand, Serbia, Poland, Turkey, and Central American countries, also have the same pattern in influenza hospitalisations and mortality data, especially with an influenza incidence of about 500/100,000 or less.
T441 56398-56477 Sentence denotes As the pandemic evolves further, they are susceptible to higher mortality (32).
T442 56478-56621 Sentence denotes The COVID-19 mortality also depends on other parameters like the healthcare system, people's adherence to lockdown measures, and comorbidities.
T443 56622-56719 Sentence denotes However, COVID-19 mortality rates are higher in countries with well-developed healthcare systems.
T444 56720-56801 Sentence denotes Hence, the influenza burden could exert a significant contribution to this issue.
T445 56802-56885 Sentence denotes Further additional discussion is available in the section of Supplement Discussion.
T446 56887-56937 Sentence denotes Correlation Methods (X and Y vs. X and Y/X Method)
T447 56938-57129 Sentence denotes A recent study published (34) observed a positive correlation between influenza vaccination and COVID-19 mortality in Europe (r = 0.68 and R2 = 0.46) and in the US (r = 0.29, and R2 = 0.084).
T448 57130-57259 Sentence denotes Also, in that study, there was a mild correlation in the case fatality ratio with vaccination in Europe (r = 0.38 and R2 = 0.14).
T449 57260-57347 Sentence denotes There was no correlation in the case fatality rate in the US (r = 0.19 and R2 = 0.036).
T450 57348-57431 Sentence denotes The study (34) includes more Eastern European countries with low vaccination rates:
T451 57432-57485 Sentence denotes Romania, Cyprus, Malta, Bulgaria, Greece, and Poland.
T452 57486-57653 Sentence denotes The current paper, however, includes statistics of Australia, New Zealand, Canada, Chile, and Iran, and the abovementioned eastern European countries are not included.
T453 57654-57781 Sentence denotes The approximate population in the >65 years category is 20%, and the vaccination is in a low percentage of these patients only.
T454 57782-57862 Sentence denotes COVID-19 mortality, however, occurs in the total population irrespective of age.
T455 57863-57969 Sentence denotes Hence, a direct linear correlation of influenza vaccination and COVID-19 mortality may not be significant.
T456 57970-58102 Sentence denotes Hence, to increase the significance of vaccination parameter the correlation in this study was performed using the x and y/x method.
T457 58103-58266 Sentence denotes The current study did observe a negative correlation between vaccination (X) and mortality or case-fatality ratio numbers (Y) in a correlation method of X and Y/X.
T458 58268-58276 Sentence denotes Migrants
T459 58277-58361 Sentence denotes The mortality of COVID-19 exponentially increases in the age group >50 years (35)11.
T460 58362-58472 Sentence denotes In the UK and US, the vaccination rates are 72 and 68%, respectively, in the age group of those over 65 years.
T461 58473-58592 Sentence denotes When the vaccination rates of age group > 50 years are combined, the overall vaccination rates would be about 50% only.
T462 58593-58666 Sentence denotes Both these countries also have a sizable unregistered migrant population.
T463 58667-58730 Sentence denotes When this data is connected, the vaccination will fall further.
T464 58731-58860 Sentence denotes Also, in the high-income countries of Western Europe and the US, there are fewer incidences of lower respiratory tract infection.
T465 58862-58879 Sentence denotes Cost and Strategy
T466 58880-58941 Sentence denotes The average cost for H1N1 vaccination is about 30 US dollars.
T467 58942-59074 Sentence denotes If a Streptococcus pneumonia vaccination is included, the total cost of vaccination would be ~60 US dollars or less per person (36).
T468 59075-59187 Sentence denotes A comparison of this expenditure could be the cost of a few days' worth of face masks used by these individuals.
T469 59188-59393 Sentence denotes Hence, this vaccination would be a cost-effective strategy used as a preventive measure of immunization in adults and the elderly, including the undocumented migrants, to reduce the global economic burden.
T470 59394-59490 Sentence denotes A focus on the primary care strategy along with the tertiary care strategy would yield benefits.
T471 59491-59563 Sentence denotes The regular vaccination schedule for children <5 years need to continue.
T472 59565-59593 Sentence denotes Applications and Limitations
T473 59594-59714 Sentence denotes The data collection of COVID-19 mortality varies in different countries, and the accuracy of the data cannot be ensured.
T474 59715-59851 Sentence denotes However, there is a general pattern of cases and death observed in adjacent countries and regions also, and the data is thus acceptable.
T475 59852-59969 Sentence denotes Vaccination was performed in age> 65 years, and the COVID-19 mortality was compared with the general population data.
T476 59970-60066 Sentence denotes The classification of COVID-19 death in the vaccinated or non-vaccinated group is not available.
T477 60067-60146 Sentence denotes Hence, the vaccination correlation cannot be considered as a conclusive result.
T478 60147-60204 Sentence denotes Data on influenza vaccination for 2019 was not available.
T479 60205-60304 Sentence denotes However, a similar trend of immunization has been observed in most countries in the last few years.
T480 60305-60531 Sentence denotes Nevertheless, the study identifies a mild beneficial correlation with a reduced COVID-19 severity with influenza vaccination and identifies the higher COVID-19 mortality in lower influenza-attributable LRI incidence countries.
T481 60532-60677 Sentence denotes The influenza LRI incidence data and the lower respiratory tract infections' burden data is exhaustive and available for most countries (17, 32).
T482 60678-60789 Sentence denotes This data is thus more robust and thorough evidence for the concept than influenza vaccination data statistics.
T483 60790-60848 Sentence denotes The population in Europe above 65 years is about 18% (34).
T484 60849-61018 Sentence denotes The vaccination data covering those aged >65 years may therefore not represent the generalized population since COVID-19 mortality starts increasing after the age of 20.
T485 61020-61039 Sentence denotes Future Perspectives
T486 61041-61061 Sentence denotes Cross-Talk and Chaos
T487 61062-61103 Sentence denotes The immune system functions in many axes.
T488 61104-61235 Sentence denotes Crosstalk between the neutrophils and lymphocytes (37) as well as the microbiome and the immune system is a common phenomenon (38).
T489 61236-61442 Sentence denotes Also, stimulation of the immune system with these vaccines would efficiently build a defense, crosstalk, and “chaos” (39) in the frontline, which would strengthen the immune system for SARS-Co-2 infections.
T490 61443-61851 Sentence denotes CCR5-delta32 polymorphism and expression play an essential role as coreceptor in the virus entry stage of human immunodeficiency viruses (40) and clearance of hepatitis C viruses (41) Short genomic sequences similar to the GP120 of human immunodeficiency virus have been noticed in the genome of SARS-Cov-2 spike proteins (42) CCR5 has a significant role in inflammatory pathogenesis in various systems (43).
T491 61852-61928 Sentence denotes It is well-known that the SARS-CoV-2 virus entry is through ACE-2 receptors.
T492 61929-61995 Sentence denotes The role of CCR5 is yet to be determined in SARS-CoV-2 infections.
T493 61996-62131 Sentence denotes If there is an association between CCR5 and SARS-CoV-2 severity, CCR5 blockers like maraviroc can be studied for its plausible effects.
T494 62132-62348 Sentence denotes Though CCR5 is a transmembrane protein coupled to a G protein (44) and lacks ubiquitination (45), soluble CCR5 (46) can be studied in plasma as a simpler technique instead of genetic polymorphism during the pandemic.
T495 62350-62362 Sentence denotes G4 (EA) H1N1
T496 62363-62559 Sentence denotes The prevalence of Eurasian-like reassortant G4 EA H1N1 swine influenza virus with 2009 pandemic virus genes has been observed recently (47), and there is a potential use for it in human infection.
T497 62560-62619 Sentence denotes In this scenario, H1N1 vaccines would thus be advantageous.
T498 62621-62643 Sentence denotes Streptococcus Pyogenes
T499 62644-62795 Sentence denotes Streptococcus pyogenes have immune regulatory potential; they are also potential candidates for vaccines, and their effect is multifunctional (48, 49).
T500 62796-62955 Sentence denotes It is worthwhile to investigate the role of these streptococcus pyogenes vaccines against SARS-CoV-2 viruses, which can encompass a delicate balance of nature.
T501 62956-63038 Sentence denotes The streptococcus pyogenes live vaccines can inhibit the viruses by endonucleases.
T502 63039-63139 Sentence denotes It could help develop an immune response for host surveillance through M-protein type vaccines (50).
T503 63140-63231 Sentence denotes The case numbers are increasing, and, at present, the global incidence of COVID-19 is 23 M.
T504 63232-63300 Sentence denotes A vast majority of the world's population, however, is not affected.
T505 63301-63404 Sentence denotes As the lockdown measures are relaxed, the incidence and mortality of COVID-19 very well might increase.
T506 63405-63544 Sentence denotes SARS-CoV-2 is an evasive candidate for vaccine development, and an RNA virus pandemic was predicted by the scientists already in 2017 (51).
T507 63546-63556 Sentence denotes Conclusion
T508 63557-63748 Sentence denotes Currently available influenza and Streptococcus pneumonia vaccines have potential to be used as parts of an inexpensive strategy to prevent severe forms of COVID-19 in the general population.
T509 63749-63817 Sentence denotes These measures could reduce the mortality and morbidity of COVID-19.
T510 63819-63846 Sentence denotes Data Availability Statement
T511 63847-63935 Sentence denotes All datasets presented in this study are included in the article/Supplementary Material.
T512 63937-63957 Sentence denotes Author Contributions
T513 63958-64052 Sentence denotes MA conceived the idea and method, performed the analyses with statistics, and wrote the paper.
T514 64053-64107 Sentence denotes The views expressed in the paper are the authors' own.
T515 64109-64129 Sentence denotes Conflict of Interest
T516 64130-64302 Sentence denotes The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
T517 64304-64404 Sentence denotes 1 https://www.satista.com/statistics/1088880/share-of-people-vaccinated-against-influenza-in-belgium
T518 64405-64509 Sentence denotes 2 https://www.ecdc.europa.eu/sites/default/files/documents/AER_for_2018_seasonal-influenza-corrected.pdf
T519 64510-64590 Sentence denotes 3 https://apps.who.int/iris/bitstream/handle/10665/326242/WER9432-en-fr.pdf?ua=1
T520 64591-64600 Sentence denotes 4CDC.gov.
T521 64601-64667 Sentence denotes Flu Vaccination Coverage, United States, 2018–19 Influenza Season.
T522 64668-64729 Sentence denotes 5 https://www.cdc.gov/flu/professionals/healthcareworkers.htm
T523 64730-64804 Sentence denotes 6 https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/cases-in-us.html
T524 64805-64881 Sentence denotes 7 https://www.livescience.com/covid-antibody-test-results-new-york-test.html
T525 64882-64953 Sentence denotes 8 http://outbreaknewstoday.com/COVID-19-antibody-study-in-sweden-75413/
T526 64954-65055 Sentence denotes 9 https://www.rki.de/EN/Content/infections/epidemiology/inf_dis_Germany/influenza/summary_2018-19.htm
T527 65056-65120 Sentence denotes 10 https://www.health.gov.il/PublicationsFiles/flu_11012020e.pdf
T528 65121-65198 Sentence denotes 11 https://www.worldometers.info/coronavirus/coronavirus-age-sex-demographics
T529 65200-65222 Sentence denotes Supplementary Material
T530 65223-65380 Sentence denotes The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpubh.2020.00444/full#supplementary-material
T531 65381-65417 Sentence denotes Click here for additional data file.

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 395-404 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T2 572-606 Phenotype denotes lower respiratory tract infections http://purl.obolibrary.org/obo/HP_0002783
T3 649-683 Phenotype denotes lower respiratory tract infections http://purl.obolibrary.org/obo/HP_0002783
T4 1043-1052 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T5 1131-1134 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T6 1362-1365 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T7 1791-1794 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T8 2008-2011 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T9 2224-2227 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T10 2534-2543 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T11 2938-2972 Phenotype denotes lower respiratory tract infections http://purl.obolibrary.org/obo/HP_0002783
T12 2988-2997 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T13 3074-3083 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T14 3125-3147 Phenotype denotes respiratory infections http://purl.obolibrary.org/obo/HP_0011947
T15 3184-3193 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T16 4328-4337 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T17 4467-4476 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T18 4515-4524 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T19 6404-6438 Phenotype denotes lower respiratory tract infections http://purl.obolibrary.org/obo/HP_0002783
T20 6547-6550 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T21 6615-6618 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T22 6850-6853 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T23 7083-7086 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T24 7143-7146 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T25 7270-7273 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T26 7496-7499 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T27 7587-7590 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T28 7643-7646 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T29 7829-7832 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T30 8175-8178 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T31 8749-8752 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T32 16669-16703 Phenotype denotes Lower Respiratory Tract Infections http://purl.obolibrary.org/obo/HP_0002783
T33 17617-17651 Phenotype denotes lower respiratory tract infections http://purl.obolibrary.org/obo/HP_0002783
T34 17865-17868 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T35 18195-18198 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T36 18404-18407 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T37 18629-18632 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T38 20148-20157 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T39 28379-28413 Phenotype denotes Lower Respiratory Tract Infections http://purl.obolibrary.org/obo/HP_0002783
T40 28415-28418 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T41 28434-28444 Phenotype denotes pneumoniae http://purl.obolibrary.org/obo/HP_0002090
T42 28516-28550 Phenotype denotes lower respiratory tract infections http://purl.obolibrary.org/obo/HP_0002783
T43 28664-28698 Phenotype denotes lower respiratory tract infections http://purl.obolibrary.org/obo/HP_0002783
T44 28857-28866 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T45 28966-28975 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T46 28976-28979 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T47 29701-29704 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T48 30547-30581 Phenotype denotes lower respiratory tract infections http://purl.obolibrary.org/obo/HP_0002783
T49 30936-30964 Phenotype denotes respiratory tract infections http://purl.obolibrary.org/obo/HP_0011947
T50 31320-31354 Phenotype denotes lower respiratory tract infections http://purl.obolibrary.org/obo/HP_0002783
T51 31449-31452 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T52 32076-32079 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T53 32362-32365 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T54 32698-32701 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T55 33306-33315 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T56 33903-33906 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T57 34633-34636 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T58 35329-35332 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T59 35497-35500 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T60 35889-35892 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T61 36415-36449 Phenotype denotes lower respiratory tract infections http://purl.obolibrary.org/obo/HP_0002783
T62 37188-37191 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T63 37887-37890 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T64 38128-38131 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T65 39141-39144 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T66 40938-40941 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T67 41102-41105 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T68 41548-41551 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T69 42379-42382 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T70 43084-43087 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T71 43154-43157 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T72 43441-43444 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T73 43612-43615 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T74 43645-43648 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T75 43823-43826 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T76 43871-43874 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T77 44627-44630 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T78 44758-44761 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T79 44806-44809 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T80 45002-45005 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T81 45336-45339 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T82 45400-45409 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T83 45554-45563 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T84 45768-45795 Phenotype denotes respiratory tract infection http://purl.obolibrary.org/obo/HP_0011947
T85 45961-45970 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T86 48858-48861 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T87 49098-49101 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T88 49251-49254 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T89 49657-49660 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T90 49849-49852 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T91 49973-49976 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T92 50242-50245 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T93 50378-50412 Phenotype denotes Lower respiratory tract infections http://purl.obolibrary.org/obo/HP_0002783
T94 50540-50543 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T95 50890-50924 Phenotype denotes lower respiratory tract infections http://purl.obolibrary.org/obo/HP_0002783
T96 50954-50963 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T97 51950-51984 Phenotype denotes lower respiratory tract infections http://purl.obolibrary.org/obo/HP_0002783
T98 52050-52059 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T99 53390-53393 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T100 53811-53814 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T101 54168-54187 Phenotype denotes respiratory illness http://purl.obolibrary.org/obo/HP_0002086
T102 54731-54734 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T103 54968-54971 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T104 58826-58859 Phenotype denotes lower respiratory tract infection http://purl.obolibrary.org/obo/HP_0002783
T105 58961-58970 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T106 60507-60510 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T107 60546-60549 Phenotype denotes LRI http://purl.obolibrary.org/obo/HP_0002783
T108 60573-60607 Phenotype denotes lower respiratory tract infections http://purl.obolibrary.org/obo/HP_0002783
T109 61555-61571 Phenotype denotes immunodeficiency http://purl.obolibrary.org/obo/HP_0002721
T110 61602-61611 Phenotype denotes hepatitis http://purl.obolibrary.org/obo/HP_0012115
T111 61681-61697 Phenotype denotes immunodeficiency http://purl.obolibrary.org/obo/HP_0002721
T112 63605-63614 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090

2_test

Id Subject Object Predicate Lexical cue
33072682-24846384-42856919 3425-3426 24846384 denotes 1
33072682-18550812-42856920 3564-3565 18550812 denotes 2
33072682-27578435-42856921 3567-3568 27578435 denotes 3
33072682-25391767-42856922 3660-3661 25391767 denotes 4
33072682-30079062-42856923 3880-3881 30079062 denotes 5
33072682-22536196-42856924 3883-3884 22536196 denotes 6
33072682-24662240-42856925 3975-3976 24662240 denotes 7
33072682-29988379-42856926 4404-4405 29988379 denotes 8
33072682-28690590-42856926 4404-4405 28690590 denotes 8
33072682-30673116-42856927 4926-4928 30673116 denotes 15
33072682-31241287-42856928 4930-4932 31241287 denotes 16
33072682-30243584-42856929 17805-17807 30243584 denotes 17
33072682-30243584-42856930 18747-18749 30243584 denotes 17
33072682-30056640-42856931 19073-19075 30056640 denotes 18
33072682-16763072-42856932 20221-20223 16763072 denotes 19
33072682-17046408-42856933 20580-20582 17046408 denotes 20
33072682-22422920-42856934 20872-20874 22422920 denotes 21
33072682-32234121-42856935 21069-21071 32234121 denotes 22
33072682-32645347-42856936 25990-25992 32645347 denotes 24
33072682-32416070-42856937 27793-27795 32416070 denotes 28
33072682-32416070-42856938 27958-27960 32416070 denotes 28
33072682-30683737-42856939 28373-28375 30683737 denotes 29
33072682-30243584-42856940 28639-28641 30243584 denotes 17
33072682-31131104-42856941 28643-28645 31131104 denotes 30
33072682-30243584-42856942 28802-28804 30243584 denotes 17
33072682-31131104-42856943 28806-28808 31131104 denotes 30
33072682-30243584-42856944 30077-30079 30243584 denotes 17
33072682-30673116-42856945 31657-31659 30673116 denotes 15
33072682-29020267-42856946 32482-32484 29020267 denotes 31
33072682-30553848-42856947 35174-35176 30553848 denotes 32
33072682-30553848-42856948 37496-37498 30553848 denotes 32
33072682-30553848-42856949 39160-39162 30553848 denotes 32
33072682-29988379-42856950 45868-45869 29988379 denotes 8
33072682-29988379-42856951 46003-46004 29988379 denotes 8
33072682-32555424-42856952 52198-52200 32555424 denotes 33
33072682-30553848-42856953 54762-54764 30553848 denotes 32
33072682-30553848-42856954 56473-56475 30553848 denotes 32
33072682-31806190-42856955 59070-59072 31806190 denotes 36
33072682-30243584-42856956 60669-60671 30243584 denotes 17
33072682-30553848-42856957 60673-60675 30553848 denotes 32
33072682-30259972-42856958 61155-61157 30259972 denotes 37
33072682-26987366-42856959 61231-61233 26987366 denotes 38
33072682-30622249-42856960 61354-61356 30622249 denotes 39
33072682-26097475-42856961 61581-61583 26097475 denotes 40
33072682-15863470-42856962 61623-61625 15863470 denotes 41
33072682-29375583-42856963 61847-61849 29375583 denotes 43
33072682-29678881-42856964 62225-62227 29678881 denotes 45
33072682-15585308-42856965 62244-62246 15585308 denotes 46
33072682-32601207-42856966 62499-62501 32601207 denotes 47
33072682-30624673-42856967 63135-63137 30624673 denotes 50
33072682-28985316-42856968 63540-63542 28985316 denotes 51