> top > docs > PMC:7153689 > annotations

PMC:7153689 JSONTXT

Annnotations TAB JSON ListView MergeView

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
1 24-32 Disease denotes COVID-19 MESH:C000657245
7 91-99 Disease denotes COVID-19 MESH:C000657245
8 390-398 Disease denotes COVID-19 MESH:C000657245
9 494-502 Disease denotes COVID-19 MESH:C000657245
10 515-523 Disease denotes COVID-19 MESH:C000657245
11 641-651 Disease denotes coronacoma
21 746-770 Disease denotes coronavirus disease 2019 MESH:C000657245
22 783-791 Disease denotes COVID-19 MESH:C000657245
23 814-822 Disease denotes infected MESH:D007239
24 843-849 Disease denotes deaths MESH:D003643
25 970-979 Disease denotes infection MESH:D007239
26 1255-1263 Disease denotes COVID-19 MESH:C000657245
27 1318-1327 Disease denotes infection MESH:D007239
28 1372-1378 Disease denotes deaths MESH:D003643
29 1854-1859 Disease denotes death MESH:D003643
44 1965-1973 Disease denotes COVID-19 MESH:C000657245
45 1986-2004 Disease denotes zoonotic infection MESH:D015047
46 2254-2262 Disease denotes infected MESH:D007239
47 2295-2328 Disease denotes severe acute respiratory syndrome MESH:D045169
48 2361-2393 Disease denotes Middle East respiratory syndrome MESH:D018352
49 2395-2399 Disease denotes MERS MESH:D018352
50 2512-2520 Disease denotes COVID-19 MESH:C000657245
51 2534-2538 Disease denotes MERS MESH:D018352
52 2617-2622 Disease denotes fever MESH:D005334
53 2701-2709 Disease denotes COVID-19 MESH:C000657245
54 2805-2814 Disease denotes infection MESH:D007239
55 2829-2848 Disease denotes respiratory illness MESH:D012140
56 3074-3095 Disease denotes respiratory illnesses MESH:D012140
57 3214-3222 Disease denotes COVID-19 MESH:C000657245
59 3925-3933 Disease denotes COVID-19 MESH:C000657245
61 6052-6058 Disease denotes cancer MESH:D009369
69 6899-6909 Chemical denotes avipiravir
70 6911-6920 Chemical denotes ritonavir MESH:D019438
71 6921-6930 Chemical denotes lopinavir MESH:D061466
72 6935-6953 Chemical denotes hydroxychloroquine MESH:D006886
73 6983-6991 Chemical denotes steroids MESH:D013256
74 7081-7089 Disease denotes COVID-19 MESH:C000657245
75 7260-7268 Disease denotes COVID-19 MESH:C000657245
78 7799-7807 Disease denotes COVID-19 MESH:C000657245
79 8455-8462 Disease denotes anxiety MESH:D001007
85 8548-8555 Disease denotes anxiety MESH:D001007
86 8905-8913 Disease denotes COVID-19 MESH:C000657245
87 9099-9106 Disease denotes anxiety MESH:D001007
88 9137-9156 Disease denotes depressive symptoms MESH:D000275
89 9189-9195 Disease denotes stress MESH:D000079225
93 9380-9387 Disease denotes anxiety MESH:D001007
94 10307-10323 Disease denotes stress disorders MESH:D000079225
95 10518-10526 Disease denotes COVID-19 MESH:C000657245
97 11637-11645 Disease denotes COVID-19 MESH:C000657245
99 12179-12187 Disease denotes COVID-19 MESH:C000657245
101 12577-12585 Disease denotes COVID-19 MESH:C000657245
103 13482-13484 Disease denotes AH MESH:D007039
105 13530-13532 Disease denotes AH MESH:D007039
107 13670-13672 Disease denotes AH MESH:D007039
160 13723-13731 Disease denotes COVID-19 MESH:C000657245
161 13808-13816 Disease denotes COVID-19 MESH:C000657245
168 14467-14475 Disease denotes COVID-19 MESH:C000657245
169 14484-14490 Disease denotes deaths MESH:D003643
170 14524-14532 Disease denotes COVID-19 MESH:C000657245
171 14541-14547 Disease denotes deaths MESH:D003643
172 14816-14822 Disease denotes deaths MESH:D003643
173 14839-14845 Disease denotes deaths MESH:D003643
175 14988-14996 Disease denotes COVID-19 MESH:C000657245
178 15550-15563 Disease denotes deaths Total MESH:D003643
179 15577-15583 Disease denotes deaths MESH:D003643
182 15438-15444 Disease denotes deaths MESH:D003643
183 15468-15474 Disease denotes deaths MESH:D003643

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 4131-4147 Body_part denotes Ribonucleic acid http://purl.org/sig/ont/fma/fma67095
T2 4286-4291 Body_part denotes blood http://purl.org/sig/ont/fma/fma9670
T3 4293-4298 Body_part denotes urine http://purl.org/sig/ont/fma/fma12274
T4 4303-4308 Body_part denotes stool http://purl.org/sig/ont/fma/fma64183
T5 4507-4510 Body_part denotes RNA http://purl.org/sig/ont/fma/fma67095
T6 6588-6592 Body_part denotes sole http://purl.org/sig/ont/fma/fma25000
T7 7110-7118 Body_part denotes cytokine http://purl.org/sig/ont/fma/fma84050
T8 8718-8724 Body_part denotes mental http://purl.org/sig/ont/fma/fma264279
T9 8850-8854 Body_part denotes hand http://purl.org/sig/ont/fma/fma9712
T10 12063-12067 Body_part denotes back http://purl.org/sig/ont/fma/fma25056

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 1624-1633 Body_part denotes extension http://purl.obolibrary.org/obo/UBERON_2000106
T2 4286-4291 Body_part denotes blood http://purl.obolibrary.org/obo/UBERON_0000178
T3 4293-4298 Body_part denotes urine http://purl.obolibrary.org/obo/UBERON_0001088
T4 4303-4308 Body_part denotes stool http://purl.obolibrary.org/obo/UBERON_0001988
T5 8850-8854 Body_part denotes hand http://purl.obolibrary.org/obo/UBERON_0002398
T6 13754-13759 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T7 13774-13779 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T8 14063-14068 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T9 14287-14292 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 24-32 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T2 91-99 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T3 193-196 Disease denotes flu http://purl.obolibrary.org/obo/MONDO_0005812
T4 359-367 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T5 359-363 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T6 390-398 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T7 494-502 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 515-523 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T9 746-770 Disease denotes coronavirus disease 2019 http://purl.obolibrary.org/obo/MONDO_0100096
T10 783-791 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T11 970-979 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T12 1255-1263 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T13 1318-1327 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T14 1965-1973 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T15 1986-2004 Disease denotes zoonotic infection http://purl.obolibrary.org/obo/MONDO_0025481
T16 1995-2004 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T17 2295-2328 Disease denotes severe acute respiratory syndrome http://purl.obolibrary.org/obo/MONDO_0005091
T18 2330-2334 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T19 2512-2520 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T20 2525-2529 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T21 2701-2709 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T22 2805-2814 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T23 3107-3117 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T24 3125-3135 Disease denotes infectious http://purl.obolibrary.org/obo/MONDO_0005550
T25 3214-3222 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T26 3925-3933 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T27 4247-4255 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T28 4247-4251 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T29 6052-6058 Disease denotes cancer http://purl.obolibrary.org/obo/MONDO_0004992
T30 7081-7089 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T31 7260-7268 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T32 7799-7807 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T33 8455-8462 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T35 8548-8555 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T37 8905-8913 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T38 9099-9106 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T40 9380-9387 Disease denotes anxiety http://purl.obolibrary.org/obo/MONDO_0005618|http://purl.obolibrary.org/obo/MONDO_0011918
T42 10518-10526 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T43 11637-11645 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T44 12179-12187 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T45 12577-12585 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T46 13188-13196 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T47 13723-13731 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T48 13808-13816 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T49 14467-14475 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T50 14524-14532 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T51 14988-14996 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 0-1 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T2 238-245 http://www.ebi.ac.uk/efo/EFO_0000876 denotes extreme
T3 370-375 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T4 461-473 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T5 503-504 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T6 560-563 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T7 632-633 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T8 864-865 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T9 989-992 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T10 1984-1985 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T11 2044-2050 http://purl.obolibrary.org/obo/NCBITaxon_33208 denotes animal
T12 2078-2084 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes humans
T13 2110-2115 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T14 2119-2124 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T15 2859-2860 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 3055-3056 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T17 3265-3266 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T18 3376-3381 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T19 3567-3572 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T20 3653-3658 http://purl.obolibrary.org/obo/UBERON_0007688 denotes field
T21 3675-3680 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T22 3754-3755 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T23 3791-3796 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T24 3899-3904 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T25 4258-4263 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T26 4286-4291 http://purl.obolibrary.org/obo/UBERON_0000178 denotes blood
T27 4286-4291 http://www.ebi.ac.uk/efo/EFO_0000296 denotes blood
T28 4554-4558 http://purl.obolibrary.org/obo/UBERON_0000473 denotes test
T29 4615-4622 http://purl.obolibrary.org/obo/UBERON_0000473 denotes testing
T30 4761-4773 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T31 4852-4853 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T32 4926-4931 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T33 4978-4979 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T34 5044-5049 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes Virus
T35 5223-5224 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T36 5296-5297 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T37 5309-5310 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T38 5380-5385 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T39 5752-5757 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T40 6195-6196 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T41 6566-6568 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T42 6764-6765 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T43 7298-7299 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T44 7483-7484 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T45 7568-7575 http://www.ebi.ac.uk/efo/EFO_0000876 denotes Extreme
T46 7728-7729 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T47 7779-7786 http://purl.obolibrary.org/obo/UBERON_0000473 denotes testing
T48 7808-7811 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T49 7906-7911 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T50 7957-7958 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T51 8026-8035 http://www.ebi.ac.uk/efo/EFO_0000876 denotes extremely
T52 8182-8183 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T53 8245-8250 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T54 8524-8525 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T55 8625-8627 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T56 8866-8868 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T57 9463-9473 http://purl.obolibrary.org/obo/CLO_0001658 denotes activities
T58 9721-9723 http://purl.obolibrary.org/obo/CLO_0050507 denotes 22
T59 10225-10228 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T60 10266-10267 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T61 10739-10742 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T62 11458-11459 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T63 11658-11659 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T64 11767-11770 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T65 11996-11998 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T66 12351-12353 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T67 12383-12388 http://purl.obolibrary.org/obo/CLO_0008945 denotes Sains
T68 12414-12415 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T69 12435-12436 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T70 12506-12509 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T71 12515-12516 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T72 13521-13523 http://purl.obolibrary.org/obo/UBERON_0003064 denotes IM
T73 13618-13620 http://purl.obolibrary.org/obo/UBERON_0003064 denotes IM
T74 13661-13663 http://purl.obolibrary.org/obo/UBERON_0003064 denotes IM
T75 13741-13746 http://purl.obolibrary.org/obo/CLO_0001627 denotes a (a)
T76 13764-13765 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T77 13767-13768 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T78 13975-13976 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T79 14071-14072 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T80 14295-14296 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T81 14322-14323 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T82 14368-14369 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T83 14434-14440 http://purl.obolibrary.org/obo/CLO_0001236 denotes 2 (a)
T84 14496-14497 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T85 14711-14714 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T86 14762-14764 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T87 14978-14983 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T88 15505-15507 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T89 15584-15586 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T90 15622-15624 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T91 15658-15660 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T92 15697-15699 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T93 15733-15735 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T94 15758-15761 http://purl.obolibrary.org/obo/CLO_0053001 denotes 114

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 3357-3361 Chemical denotes acid http://purl.obolibrary.org/obo/CHEBI_37527
T2 3773-3780 Chemical denotes antigen http://purl.obolibrary.org/obo/CHEBI_59132
T3 4143-4147 Chemical denotes acid http://purl.obolibrary.org/obo/CHEBI_37527
T4 5557-5565 Chemical denotes medicine http://purl.obolibrary.org/obo/CHEBI_23888
T5 6874-6890 Chemical denotes antiviral agents http://purl.obolibrary.org/obo/CHEBI_22587
T6 6911-6920 Chemical denotes ritonavir http://purl.obolibrary.org/obo/CHEBI_45409
T7 6921-6930 Chemical denotes lopinavir http://purl.obolibrary.org/obo/CHEBI_31781
T8 6935-6953 Chemical denotes hydroxychloroquine http://purl.obolibrary.org/obo/CHEBI_5801
T9 6983-6991 Chemical denotes steroids http://purl.obolibrary.org/obo/CHEBI_35341
T10 13482-13484 Chemical denotes AH http://purl.obolibrary.org/obo/CHEBI_73771
T11 13521-13523 Chemical denotes IM http://purl.obolibrary.org/obo/CHEBI_74073
T12 13530-13532 Chemical denotes AH http://purl.obolibrary.org/obo/CHEBI_73771
T13 13618-13620 Chemical denotes IM http://purl.obolibrary.org/obo/CHEBI_74073
T14 13661-13663 Chemical denotes IM http://purl.obolibrary.org/obo/CHEBI_74073
T15 13670-13672 Chemical denotes AH http://purl.obolibrary.org/obo/CHEBI_73771

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 2617-2622 Phenotype denotes fever http://purl.obolibrary.org/obo/HP_0001945
T2 2723-2736 Phenotype denotes loss of smell http://purl.obolibrary.org/obo/HP_0000458
T3 2741-2754 Phenotype denotes loss of taste http://purl.obolibrary.org/obo/HP_0000223
T4 2829-2848 Phenotype denotes respiratory illness http://purl.obolibrary.org/obo/HP_0002086
T5 3074-3095 Phenotype denotes respiratory illnesses http://purl.obolibrary.org/obo/HP_0002086
T6 6052-6058 Phenotype denotes cancer http://purl.obolibrary.org/obo/HP_0002664
T7 7110-7125 Phenotype denotes cytokine storms http://purl.obolibrary.org/obo/HP_0033041
T8 8455-8462 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T9 8548-8555 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T10 9099-9106 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739
T11 9380-9387 Phenotype denotes anxiety http://purl.obolibrary.org/obo/HP_0000739

LitCovid-PD-GO-BP

Id Subject Object Predicate Lexical cue
T1 2749-2754 http://purl.obolibrary.org/obo/GO_0050909 denotes taste
T2 3401-3422 http://purl.obolibrary.org/obo/GO_0001171 denotes reverse transcription
T3 3409-3422 http://purl.obolibrary.org/obo/GO_0006351 denotes transcription
T4 4421-4430 http://purl.obolibrary.org/obo/GO_0006810 denotes transport
T5 12010-12018 http://purl.obolibrary.org/obo/GO_0007612 denotes learning
T6 12196-12204 http://purl.obolibrary.org/obo/GO_0007612 denotes learning
T7 12453-12461 http://purl.obolibrary.org/obo/GO_0007612 denotes learning
T8 14099-14105 http://purl.obolibrary.org/obo/GO_0040007 denotes growth

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-55 Sentence denotes A Critical Appraisal of COVID-19 in Malaysia and Beyond
T2 57-65 Sentence denotes Abstract
T3 66-210 Sentence denotes When the first report of COVID-19 appeared in December 2019 from Wuhan, China, the world unknowingly perceived this as another flu-like illness.
T4 211-327 Sentence denotes Many were surprised at the extreme steps that China had subsequently taken to seal Wuhan from the rest of the world.
T5 328-514 Sentence denotes However, by February 2020, the SARS-CoV-2 virus, which causes COVID-19, had spread so quickly across the globe that the World Health Organization officially declared COVID-19 a pandemic.
T6 515-652 Sentence denotes COVID-19 is not the first pandemic the world has seen, so what makes it so unique in Malaysia, is discussed to avoid a future coronacoma.
T7 654-684 Sentence denotes The New Year with New Pandemic
T8 685-890 Sentence denotes As of 26 March 2020, 171 countries have been affected by the coronavirus disease 2019 or known as COVID-19 pandemic with 467,866 infected patients and 20,845 deaths, representing a 4.5% mortality rate (1).
T9 891-1150 Sentence denotes While, at the time of writing, China is the most affected country, the rate of infection in China has slowed down significantly; however, this is not the case in Italy or the United States, which are the second and third most affected countries, respectively.
T10 1151-1416 Sentence denotes Association of Southeast Asian Nations (ASEAN) countries, including Malaysia, have not been spared from COVID-19, although there have been fluctuations in the rate of infection demonstrated in the number of new cases and deaths reported in March 2020 (Table 1) (2).
T11 1417-1526 Sentence denotes Barely three months after the first reported case, many countries have ordered lockdowns, including Malaysia.
T12 1527-1647 Sentence denotes The Malaysian government announced an initial movement restriction order on 16 March 2020 and an extension to mid-April.
T13 1648-1696 Sentence denotes These measure have been enacted for good reason.
T14 1697-1964 Sentence denotes The trend in new cases does not appear to have peaked yet for Malaysia or other ASEAN countries (Figure 1) (3), although there have been fluctuations in the death rates (Figure 2) (1) perhaps due to different critical care capacities and resources in these countries.
T15 1965-2085 Sentence denotes COVID-19 is likely a zoonotic infection, which was transmitted from an unknown animal or environmental source to humans.
T16 2086-2190 Sentence denotes It is now spreading via human-to-human transmission with an average basic reproductive rate (R0) of 2.2.
T17 2191-2267 Sentence denotes In other words, for each patient, 2.2 other individuals become infected (4).
T18 2268-2419 Sentence denotes For comparison, the R0 for severe acute respiratory syndrome (SARS) was estimated at 3.0 and Middle East respiratory syndrome (MERS) was less than 1.0.
T19 2420-2653 Sentence denotes Based on the epidemiological data from Wuhan, there are several notable differences between COVID-19 and SARS and MERS: i) case fatality rates are lower; ii) asymptomatic spread can occur and iii) fever is more frequently absent (5).
T20 2654-2815 Sentence denotes Gastrointestinal complaints are uncommon among COVID-19 patients but loss of smell and loss of taste have been increasingly reported as early signs of infection.
T21 2816-2998 Sentence denotes Severe acute respiratory illness (SARI) is a severe complication, and typical computed tomography (CT) features include ground-glass and consolidative opacities in the periphery (6).
T22 2999-3223 Sentence denotes However, it must be borne in mind that SARI can also be a manifestation of respiratory illnesses with other infectious or non-infectious causes, which need to be ruled out before attributing the presence of SARI to COVID-19.
T23 3225-3264 Sentence denotes Halting the Spread with Rapid Diagnosis
T24 3265-3348 Sentence denotes A critical factor in slowing down the pandemic is the rapid diagnosis of new cases.
T25 3349-3552 Sentence denotes Nucleic acid amplification tests, such as real-time reverse transcription polymerase chain reaction (RT-PCR), provide the earliest and most accurate diagnosis, but they are costly and time consuming (7).
T26 3553-3766 Sentence denotes Point-of-care tests, e.g. lateral flow assays for the detection of antibodies are more ideal in the field; however, these tests are of limited value due accuracy issues and the time required to obtain a diagnosis.
T27 3767-3869 Sentence denotes Rapid antigen detection tests are still undergoing evaluation, and their efficacy is yet to be proven.
T28 3870-4011 Sentence denotes Figure 3 illustrates various tests being evaluated for COVID-19 and their diagnostic coverage from the acute phase to the convalescent phase.
T29 4012-4087 Sentence denotes The sources and accessibility of specimens are also critical for diagnosis.
T30 4088-4242 Sentence denotes For upper respiratory specimens, the viral Ribonucleic acid yield from nasopharyngeal swabs seems to offer more accurate results than oropharyngeal swabs.
T31 4243-4413 Sentence denotes The SARS-CoV-2 virus is also detectable in blood, urine and stool; such specimens are not as reliable for diagnosis but are important from the transmission point of view.
T32 4414-4559 Sentence denotes Proper transport and handling of specimens is necessary to ensure the integrity of the viral RNA and, hence, the accuracy of the diagnostic test.
T33 4560-4785 Sentence denotes Adherence to biosafety practices is essential, and any testing should be performed in appropriately equipped laboratories by staff trained in the relevant technical and safety procedures (World Health Organization, 2020) (8).
T34 4786-5043 Sentence denotes Non-propagative diagnostic laboratory work should be conducted at a biosafety level 2 (BSL-2) facility, whereas propagative work, including virus culture and isolation, should be conducted at a containment laboratory with inward directional airflow (BSL-3).
T35 5044-5182 Sentence denotes Virus isolation is not routine but necessary for characterisation and to support the development of vaccines and other therapeutic agents.
T36 5184-5216 Sentence denotes Challenges to Healthcare Workers
T37 5217-5386 Sentence denotes Until a vaccine is developed, healthcare workers who are in close contact with a suspect or a person under investigation (PUI) are at high risk of exposure to the virus.
T38 5387-5618 Sentence denotes Other than doctors at the frontlines, i.e. screening and critical care units, certain specialties may have increased risks of aerosolised exposure, including respiratory medicine; otolaryngology; ophthalmology; and dental services.
T39 5619-5714 Sentence denotes Many non-urgent procedures have been cancelled or postponed, including non-emergency surgeries.
T40 5715-5811 Sentence denotes Other than the aerosolised risk, the virus may contaminate the operating theatre during surgery.
T41 5812-5960 Sentence denotes Many learned societies, including the Academy of Medicine of Malaysia, have started releasing statements and guidelines to assist their members (9).
T42 5961-6127 Sentence denotes Meanwhile, grey areas and dilemmas exist without clear consensus, including guidelines for cancer patients on chemotherapy or those needing early surgical treatments.
T43 6128-6266 Sentence denotes Furthermore, other issues should be addressed by hospitals through a management protocol or algorithm in place for frontline workers (10).
T44 6267-6418 Sentence denotes For example, although many resources are being diverted to the frontlines and critical care, they will be inadequate during the height of the pandemic.
T45 6419-6570 Sentence denotes Thus, there is an ethical but pragmatic challenge in the allocation of critical resources, such as intensive care unit (ICU) beds and ventilators (11).
T46 6571-6704 Sentence denotes Age is often the sole criterion used for decision-making regarding ventilation, which can be morally difficult for people in general.
T47 6705-6834 Sentence denotes Therefore, it is imperative that such decisions be made by a different team, and that the triage algorithm be reviewed regularly.
T48 6836-6856 Sentence denotes Flattening the Curve
T49 6857-7255 Sentence denotes Although various antiviral agents such as avipiravir, ritonavir/lopinavir and hydroxychloroquine and other therapeutics, e.g. steroids and vaccines, are currently being considered to reduce the complications associated with COVID-19, including SARI and cytokine storms (12–14), the most cost-effective methods remain the public health approaches of contact tracing, isolation and social distancing.
T50 7256-7455 Sentence denotes The COVID-19 pandemic is predicted to run a protracted course, and available healthcare resources are likely unsustainable; hence, we need to flatten the curve with lockdown measures (Figure 4) (15).
T51 7456-7567 Sentence denotes However, the imposition of a lockdown needs to consider the sociocultural and economic factors of each country.
T52 7568-7665 Sentence denotes Extreme measures, such as the Wuhan closure, will not work in many countries, including Malaysia.
T53 7666-7756 Sentence denotes Instead, many countries may look to the South Korean model as a more suitable alternative.
T54 7757-7917 Sentence denotes In South Korea, rapid testing to rule out COVID-19 has been the key to its success, along with using personal information to track the spread of the virus (16).
T55 7918-8121 Sentence denotes In Malaysia, where social gathering is a norm, the initial days of the movement restriction order have been extremely difficult but necessary so that containment measures could be put into place quickly.
T56 8122-8275 Sentence denotes The current mitigation phase is critical in order to create a small window of opportunity to break the transmission of the virus to the larger community.
T57 8276-8388 Sentence denotes To do this, everyone should be transparent about their history of travels, mass gatherings and any new symptoms.
T58 8389-8480 Sentence denotes It is also important not to spread fake news to prevent panic and anxiety among the public.
T59 8481-8629 Sentence denotes The most common psychological reactions to a pandemic are fear and anxiety-related symptoms, such as panic, worry and emotionally distress (17, 18).
T60 8630-8870 Sentence denotes While these reactions are expected, they can be overwhelming to those with pre-existing mental health issues (19) and can lead the public to panic buy excessive amounts of food or health-related items, such as masks and hand sanitizer (18).
T61 8871-9203 Sentence denotes According the most recent data on COVID-19 study among 1,210 respondents from 194 cities in China (20), more than half of the respondents suffered moderate to severe psychological impacts; of those, 28.8% had moderate to severe anxiety, 16.5% had moderate to severe depressive symptoms and 8.1% had moderate to severe stress levels.
T62 9204-9307 Sentence denotes The majority were worried about their family members and they spent at least 20 h per day at home (20).
T63 9308-9606 Sentence denotes The psychological sequelae of the pandemic is the emergence of fear and anxiety not only due to the disease itself but also due to the disruption of daily activities, social isolation caused by the restricted movement order and financial burdens, especially among those with low-income levels (21).
T64 9607-9906 Sentence denotes For healthcare workers, the pandemic is exposing them to long-term stressors, which could impact their wellbeing (22) and lead to burnout due to increased job demands (such as increased workload and role conflicts) and reduced job resources which lead to loss of workplace control and autonomy (23).
T65 9907-9996 Sentence denotes Early mitigation and psychological crisis interventions are already in place in Malaysia.
T66 9997-10143 Sentence denotes Several government and non-governmental agencies are offering psychological first aid to the public through tele-counselling and hotline services.
T67 10144-10388 Sentence denotes These interventions should be continued even after the pandemic is over, as data has shown that those who are affected by a pandemic still have varying degrees of stress disorders even after the event ends or they recover from the disease (24).
T68 10389-10549 Sentence denotes In addition, clear information about the disease and progress updates on the situation could reduce the psychological impacts of COVID-19 among the public (20).
T69 10551-10589 Sentence denotes Addressing the Socio-economic Impacts:
T70 10590-10608 Sentence denotes Local Perspectives
T71 10609-10838 Sentence denotes There is no doubt that the imposed movement control order in Malaysia will have adverse economic impacts; however, the government has been quick to respond by announcing an economic stimulus plan to weather this difficult period.
T72 10839-11102 Sentence denotes Numerous important bodies, including the Academy of Sciences Malaysia, the Ministry of Health and the Ministry of Higher Education, are exploring the technology drivers of the present and the future to prevent and manage future epidemics and pandemics (Figure 5).
T73 11103-11216 Sentence denotes Weaknesses have been identified and improvements are being explored before government action plans are made (25).
T74 11217-11254 Sentence denotes Another impact is on day-to-day work.
T75 11255-11401 Sentence denotes Since many people are working from home, there is an urgent need to make better internet and software applications available for virtual meetings.
T76 11402-11473 Sentence denotes From the healthcare perspective, telemedicine will play a greater role.
T77 11474-11598 Sentence denotes Stable patients needing regular follow-ups, as well as patients in clinical trials, can be directed to tele-health services.
T78 11599-11734 Sentence denotes These services could even be used for COVID-19 patients as a form of ‘forward triage’ before they arrive at emergency departments (26).
T79 11735-11833 Sentence denotes In addition, this unique crisis has provided an opportunity to improve online education from home.
T80 11834-12000 Sentence denotes Almost 5 million school students and 1.2 million university students (including about 130,000 international students) in Malaysia have been affected by closures (27).
T81 12001-12171 Sentence denotes Distance learning is not new for Malaysians and can be traced back to the 1990s but times have changed with rapid advancements in technology and new teaching innovations.
T82 12172-12355 Sentence denotes Due to COVID-19, online learning is no longer merely an option; however, adopting virtual technologies and ensuring the readiness of students and institutions can be challenging (27).
T83 12356-12490 Sentence denotes In this regard, Universiti Sains Malaysia (USM) is taking a leadership role as a model for other learning institutions in the country.
T84 12491-12600 Sentence denotes Finally, there has been a rise in research and collaborative opportunities during the COVID-19 pandemic (28).
T85 12601-12737 Sentence denotes This is the time when scientists and clinicians should come out from their shining silos to work together and share their research data.
T86 12738-12848 Sentence denotes Doing so will lead to more effective curbing of the disease and more rapid advancements in viral therapeutics.
T87 12849-13041 Sentence denotes Therefore, we, the editorial members, urge the scientific community and the public to rise to the challenge, change their mindsets and stay safe and healthy whether you are at home or at work.
T88 13043-13059 Sentence denotes Acknowledgements
T89 13060-13197 Sentence denotes We dedicate this editorial to our Malaysian frontliners and thank you for your dedication and sacrifices in this battle against COVID-19.
T90 13198-13259 Sentence denotes You are part of Malaysian history as our heroes and heroines.
T91 13260-13282 Sentence denotes Authors’ Contributions
T92 13283-13309 Sentence denotes Conception and design: JMA
T93 13310-13366 Sentence denotes Analysis and interpretation of the data: WFNWI, KIM, LYY
T94 13367-13395 Sentence denotes Drafting of the article: LYY
T95 13396-13484 Sentence denotes Critical revision of the article for important intellectual content: JMA, WFNWI, AAR, AH
T96 13485-13542 Sentence denotes Final approval of the article: JMA, IM, AAR, AH, KIM, LYY
T97 13543-13569 Sentence denotes Statistical expertise: KIM
T98 13570-13620 Sentence denotes Administrative, technical, or logistic support: IM
T99 13621-13672 Sentence denotes Collection and assembly of data: WFNWI, IM, AAR, AH
T100 13674-13780 Sentence denotes Figure 1 Trajectory of the cumulative number of COVID-19 cases in a (a) linear scale and a (b) log scale.
T101 13781-13874 Sentence denotes The increase in cumulative COVID-19 cases slowed between January 2020 and late February 2020.
T102 13875-13978 Sentence denotes However, in early March 2020, the case trajectory in these five countries increased significantly 1(a).
T103 13979-14041 Sentence denotes The increases were most stark from mid-March to 28 March 2020.
T104 14042-14269 Sentence denotes The trend on the log-scale 1(b) indicates an exponential growth in cumulative cases for three countries—Thailand, Malaysia and Singapore—which was steeper between mid-January and mid-February and then reduced until early March.
T105 14270-14426 Sentence denotes Overall, the log-scale 1(b) shows two trajectories: a lower trajectory (Brunei and Singapore) and a higher trajectory (Thailand, Malaysia and Indonesia) (3)
T106 14427-14548 Sentence denotes Figure 2 (a) Trajectory for cumulative COVID-19-related deaths and (b) daily reported number of COVID-19-related deaths.
T107 14549-14700 Sentence denotes Thailand reported its first fatality in February 2020 and other countries (except for Brunei) began to report their first fatalities in mid-March 2020.
T108 14701-14847 Sentence denotes Indonesia has had the largest number of fatalities (70 as of 27 March 2020), and the lowest were in Singapore (two deaths) and Brunei (no deaths).
T109 14848-14926 Sentence denotes All countries reported fluctuating fatality numbers (except for Singapore) (1)
T110 14927-15043 Sentence denotes Figure 3 Diagnostic coverage of various available tests for COVID-19 from the acute phase to the convalescent phase
T111 15044-15148 Sentence denotes Figure 4 Movement restriction is critical to battle the pandemic within healthcare system capacity (15)
T112 15149-15403 Sentence denotes Figure 5 The Academy of Sciences Malaysia with assistance from Ministry of Health and the Monash University Malaysia, are exploring 10 technologies that will drive many aspects of Malaysia’s socio-economy, including preparation for future pandemics (25)
T113 15404-15519 Sentence denotes Table 1 Number of new cases, new deaths, total cases and total deaths in South East Asia region (23–27 March 2020)
T114 15520-15583 Sentence denotes Date Country New cases New deaths Total cases Total deaths
T115 15584-15621 Sentence denotes 27/3/2020 Malaysia 235 4 2031 23
T116 15622-15657 Sentence denotes 27/3/2020 Thailand 91 1 1136 5
T117 15658-15696 Sentence denotes 27/3/2020 Indonesia 103 20 893 78
T118 15697-15732 Sentence denotes 27/3/2020 Singapore 26 0 594 2
T119 15733-15764 Sentence denotes 27/3/2020 Brunei 7 0 114 0
T120 15765-15802 Sentence denotes 26/3/2020 Malaysia 172 4 1796 19
T121 15803-15839 Sentence denotes 26/3/2020 Thailand 111 0 1045 4
T122 15840-15877 Sentence denotes 26/3/2020 Indonesia 104 3 790 58
T123 15878-15913 Sentence denotes 26/3/2020 Singapore 10 0 568 2
T124 15914-15945 Sentence denotes 26/3/2020 Brunei 3 0 107 0
T125 15946-15983 Sentence denotes 25/3/2020 Malaysia 106 1 1624 15
T126 15984-16019 Sentence denotes 25/3/2020 Thailand 107 0 934 4
T127 16020-16057 Sentence denotes 25/3/2020 Indonesia 107 6 686 55
T128 16058-16093 Sentence denotes 25/3/2020 Singapore 49 0 558 2
T129 16094-16126 Sentence denotes 25/3/2020 Brunei 13 0 104 0
T130 16127-16134 Sentence denotes Source:
T131 16135-16189 Sentence denotes European Centre for Disease Prevention and Control (2)

LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T1 24-32 SP_7 denotes COVID-19
T2 91-99 SP_7 denotes COVID-19
T3 359-369 SP_7 denotes SARS-CoV-2
T4 370-375 NCBITaxon:10239 denotes virus
T5 390-398 SP_7 denotes COVID-19
T6 433-438 UBERON:0010230 denotes globe
T7 494-502 SP_7 denotes COVID-19
T8 515-523 SP_7 denotes COVID-19
T9 746-757 NCBITaxon:11118 denotes coronavirus
T10 783-791 SP_7 denotes COVID-19
T11 843-849 GO:0016265 denotes deaths
T12 1255-1263 SP_7 denotes COVID-19
T13 1372-1378 GO:0016265 denotes deaths
T14 1854-1859 GO:0016265 denotes death
T15 1965-1973 SP_7 denotes COVID-19
T16 2044-2050 NCBITaxon:33208 denotes animal
T17 2078-2084 NCBITaxon:9606 denotes humans
T18 2110-2115 SP_6;NCBITaxon:9606 denotes human
T19 2119-2124 SP_6;NCBITaxon:9606 denotes human
T20 2160-2172 GO:0000003 denotes reproductive
T21 2235-2246 NCBITaxon:1 denotes individuals
T22 2308-2319 UBERON:0001004 denotes respiratory
T23 2330-2334 SP_10 denotes SARS
T24 2373-2384 UBERON:0001004 denotes respiratory
T25 2395-2399 SP_9 denotes MERS
T26 2512-2520 SP_7 denotes COVID-19
T27 2525-2529 SP_10 denotes SARS
T28 2534-2538 SP_9 denotes MERS
T29 2654-2670 UBERON:0005409 denotes Gastrointestinal
T30 2701-2709 SP_7 denotes COVID-19
T31 2749-2754 GO:0050909 denotes taste
T32 2829-2840 UBERON:0001004 denotes respiratory
T33 3074-3085 UBERON:0001004 denotes respiratory
T34 3214-3222 SP_7 denotes COVID-19
T35 3349-3356 CHEBI:23447;GO:0005634;CHEBI:23447 denotes Nucleic
T36 3357-3361 CHEBI:37527;CHEBI:37527 denotes acid
T37 3401-3422 GO:0001171 denotes reverse transcription
T38 3620-3630 GO:0042571 denotes antibodies
T39 3773-3780 CHEBI:59132;CHEBI:59132 denotes antigen
T40 3925-3933 SP_7 denotes COVID-19
T41 3973-3984 GO:0006953 denotes acute phase
T42 4098-4109 UBERON:0001004 denotes respiratory
T43 4125-4130 NCBITaxon:10239 denotes viral
T44 4143-4147 CHEBI:37527;CHEBI:37527 denotes acid
T45 4159-4173 UBERON:0001728 denotes nasopharyngeal
T46 4222-4235 UBERON:0000165 denotes oropharyngeal
T47 4247-4257 SP_7 denotes SARS-CoV-2
T48 4258-4263 NCBITaxon:10239 denotes virus
T49 4286-4291 UBERON:0000178 denotes blood
T50 4293-4298 UBERON:0001088 denotes urine
T51 4303-4308 UBERON:0001988 denotes stool
T52 4501-4506 NCBITaxon:10239 denotes viral
T53 4926-4931 NCBITaxon:10239 denotes virus
T54 5163-5181 CHEBI:52217;CHEBI:52217 denotes therapeutic agents
T55 5311-5317 NCBITaxon:1 denotes person
T56 5380-5385 NCBITaxon:10239 denotes virus
T57 5453-5457 UBERON:0007221 denotes care
T58 5545-5556 UBERON:0001004 denotes respiratory
T59 5567-5581 UBERON:0002280 denotes otolaryngology
T60 5602-5608 UBERON:0001091 denotes dental
T61 5752-5757 NCBITaxon:10239 denotes virus
T62 5817-5824 GO:0007612 denotes learned
T63 6518-6527 CL:0002211;UBERON:0007221 denotes intensive
T64 6528-6537 UBERON:0007221;CL:0002486 denotes care unit
T65 6686-6692 NCBITaxon:9606 denotes people
T66 6874-6890 CHEBI:22587;CHEBI:22587 denotes antiviral agents
T67 6911-6920 CHEBI:45409;CHEBI:45409;DG_30 denotes ritonavir
T68 6921-6930 CHEBI:31781;CHEBI:31781;DG_23 denotes lopinavir
T69 6935-6953 CHEBI:5801;CHEBI:5801;DG_20 denotes hydroxychloroquine
T70 6983-6991 CHEBI:35341;CHEBI:35341 denotes steroids
T71 7081-7089 SP_7 denotes COVID-19
T72 7260-7268 SP_7 denotes COVID-19
T73 7799-7807 SP_7 denotes COVID-19
T74 7906-7911 NCBITaxon:10239 denotes virus
T75 8245-8250 NCBITaxon:10239 denotes virus
T76 8802-8806 CHEBI:33290;CHEBI:33290 denotes food
T77 8905-8913 SP_7 denotes COVID-19
T78 9880-9887 GO:0065007 denotes control
T79 10518-10526 SP_7 denotes COVID-19
T80 11266-11272 NCBITaxon:9606 denotes people
T81 11637-11645 SP_7 denotes COVID-19
T82 11851-11857 CL:0000001 denotes school
T83 12010-12018 GO:0007612 denotes learning
T84 12179-12187 SP_7 denotes COVID-19
T85 12196-12204 GO:0007612 denotes learning
T86 12453-12461 GO:0007612 denotes learning
T87 12577-12585 SP_7 denotes COVID-19
T88 12829-12834 NCBITaxon:10239 denotes viral
T57348 24-32 SP_7 denotes COVID-19
T27269 91-99 SP_7 denotes COVID-19
T19707 359-369 SP_7 denotes SARS-CoV-2
T65961 370-375 NCBITaxon:10239 denotes virus
T830 390-398 SP_7 denotes COVID-19
T86181 433-438 UBERON:0010230 denotes globe
T18961 494-502 SP_7 denotes COVID-19
T11746 515-523 SP_7 denotes COVID-19
T83321 746-757 NCBITaxon:11118 denotes coronavirus
T52078 783-791 SP_7 denotes COVID-19
T33936 843-849 GO:0016265 denotes deaths
T43126 1255-1263 SP_7 denotes COVID-19
T16282 1372-1378 GO:0016265 denotes deaths
T72932 1854-1859 GO:0016265 denotes death
T32412 1965-1973 SP_7 denotes COVID-19
T89963 2044-2050 NCBITaxon:33208 denotes animal
T31781 2078-2084 NCBITaxon:9606 denotes humans
T83144 2110-2115 SP_6;NCBITaxon:9606 denotes human
T63366 2119-2124 SP_6;NCBITaxon:9606 denotes human
T52298 2160-2172 GO:0000003 denotes reproductive
T30955 2235-2246 NCBITaxon:1 denotes individuals
T70774 2308-2319 UBERON:0001004 denotes respiratory
T5012 2330-2334 SP_10 denotes SARS
T74826 2373-2384 UBERON:0001004 denotes respiratory
T39879 2395-2399 SP_9 denotes MERS
T29769 2512-2520 SP_7 denotes COVID-19
T33957 2525-2529 SP_10 denotes SARS
T77424 2534-2538 SP_9 denotes MERS
T82120 2654-2670 UBERON:0005409 denotes Gastrointestinal
T33388 2701-2709 SP_7 denotes COVID-19
T63063 2749-2754 GO:0050909 denotes taste
T61621 2829-2840 UBERON:0001004 denotes respiratory
T21223 3074-3085 UBERON:0001004 denotes respiratory
T65782 3214-3222 SP_7 denotes COVID-19
T3553 3349-3356 CHEBI:23447;GO:0005634;CHEBI:23447 denotes Nucleic
T57133 3357-3361 CHEBI:37527;CHEBI:37527 denotes acid
T47984 3401-3422 GO:0001171 denotes reverse transcription
T42493 3620-3630 GO:0042571 denotes antibodies
T14079 3773-3780 CHEBI:59132;CHEBI:59132 denotes antigen
T68472 3925-3933 SP_7 denotes COVID-19
T3989 3973-3984 GO:0006953 denotes acute phase
T85468 4098-4109 UBERON:0001004 denotes respiratory
T95354 4125-4130 NCBITaxon:10239 denotes viral
T87999 4143-4147 CHEBI:37527;CHEBI:37527 denotes acid
T5314 4159-4173 UBERON:0001728 denotes nasopharyngeal
T15377 4222-4235 UBERON:0000165 denotes oropharyngeal
T18502 4247-4257 SP_7 denotes SARS-CoV-2
T36018 4258-4263 NCBITaxon:10239 denotes virus
T16180 4286-4291 UBERON:0000178 denotes blood
T55406 4293-4298 UBERON:0001088 denotes urine
T3946 4303-4308 UBERON:0001988 denotes stool
T3533 4501-4506 NCBITaxon:10239 denotes viral
T28834 4926-4931 NCBITaxon:10239 denotes virus
T78210 5163-5181 CHEBI:52217;CHEBI:52217 denotes therapeutic agents
T50223 5311-5317 NCBITaxon:1 denotes person
T72008 5380-5385 NCBITaxon:10239 denotes virus
T44488 5453-5457 UBERON:0007221 denotes care
T24374 5545-5556 UBERON:0001004 denotes respiratory
T97963 5567-5581 UBERON:0002280 denotes otolaryngology
T47958 5602-5608 UBERON:0001091 denotes dental
T954 5752-5757 NCBITaxon:10239 denotes virus
T69078 5817-5824 GO:0007612 denotes learned
T94250 6518-6527 CL:0002211;UBERON:0007221 denotes intensive
T25202 6528-6537 UBERON:0007221;CL:0002486 denotes care unit
T54099 6686-6692 NCBITaxon:9606 denotes people
T33523 6874-6890 CHEBI:22587;CHEBI:22587 denotes antiviral agents
T77058 6911-6920 CHEBI:45409;CHEBI:45409;DG_30 denotes ritonavir
T22933 6921-6930 CHEBI:31781;CHEBI:31781;DG_23 denotes lopinavir
T99998 6935-6953 CHEBI:5801;CHEBI:5801;DG_20 denotes hydroxychloroquine
T76536 6983-6991 CHEBI:35341;CHEBI:35341 denotes steroids
T47112 7081-7089 SP_7 denotes COVID-19
T57524 7260-7268 SP_7 denotes COVID-19
T43289 7799-7807 SP_7 denotes COVID-19
T55046 7906-7911 NCBITaxon:10239 denotes virus
T49359 8245-8250 NCBITaxon:10239 denotes virus
T34742 8802-8806 CHEBI:33290;CHEBI:33290 denotes food
T33866 8905-8913 SP_7 denotes COVID-19
T51476 9880-9887 GO:0065007 denotes control
T13991 10518-10526 SP_7 denotes COVID-19
T54680 11266-11272 NCBITaxon:9606 denotes people
T34613 11637-11645 SP_7 denotes COVID-19
T55873 11851-11857 CL:0000001 denotes school
T23676 12010-12018 GO:0007612 denotes learning
T87185 12179-12187 SP_7 denotes COVID-19
T47272 12196-12204 GO:0007612 denotes learning
T88374 12453-12461 GO:0007612 denotes learning
T23511 12577-12585 SP_7 denotes COVID-19
T89179 12829-12834 NCBITaxon:10239 denotes viral

2_test

Id Subject Object Predicate Lexical cue
32308536-31995857-66949959 2264-2265 31995857 denotes 4
32308536-32369286-66949960 2650-2651 32369286 denotes 5
32308536-32196430-66949961 3549-3550 32196430 denotes 7
32308536-32172669-66949962 6262-6264 32172669 denotes 10
32308536-32369286-66949963 7127-7129 32369286 denotes 12
32308536-20680674-66949964 8621-8623 20680674 denotes 17
32308536-19807908-66949965 8625-8627 19807908 denotes 18
32308536-19807908-66949966 8866-8868 19807908 denotes 18
32308536-15697045-66949967 10384-10386 15697045 denotes 24
32308536-32190290-66949968 12596-12598 32190290 denotes 28