> top > docs > PMC:7096777 > annotations

PMC:7096777 JSONTXT

Annnotations TAB JSON ListView MergeView

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
2 43-62 Disease denotes coronavirus disease MESH:D018352
3 64-72 Disease denotes COVID-19 MESH:C000657245
9 610-618 Species denotes patients Tax:9606
10 208-227 Disease denotes coronavirus disease MESH:D018352
11 229-237 Disease denotes COVID-19 MESH:C000657245
12 419-427 Disease denotes COVID-19 MESH:C000657245
13 624-632 Disease denotes COVID-19 MESH:C000657245
30 925-942 Species denotes novel coronavirus Tax:2697049
31 962-1009 Species denotes severe acute respiratory syndrome coronavirus 2 Tax:2697049
32 1011-1021 Species denotes SARS-CoV-2 Tax:2697049
33 1493-1501 Species denotes patients Tax:9606
34 731-740 Disease denotes pneumonia MESH:D011014
35 1062-1082 Disease denotes SARS-CoV-2 infection MESH:C000657245
36 1098-1117 Disease denotes coronavirus disease MESH:D018352
37 1119-1127 Disease denotes COVID-19 MESH:C000657245
38 1182-1190 Disease denotes COVID-19 MESH:C000657245
39 1219-1246 Disease denotes respiratory tract infection MESH:D012141
40 1263-1272 Disease denotes pneumonia MESH:D011014
41 1322-1330 Disease denotes COVID-19 MESH:C000657245
42 1480-1489 Disease denotes mortality MESH:D003643
43 1522-1530 Disease denotes COVID-19 MESH:C000657245
44 1612-1620 Disease denotes COVID-19 MESH:C000657245
45 1801-1809 Disease denotes COVID-19 MESH:C000657245
47 1900-1908 Disease denotes COVID-19 MESH:C000657245
56 2491-2498 Species denotes persons Tax:9606
57 1967-1975 Disease denotes COVID-19 MESH:C000657245
58 2037-2045 Disease denotes COVID-19 MESH:C000657245
59 2211-2219 Disease denotes COVID-19 MESH:C000657245
60 2339-2347 Disease denotes COVID-19 MESH:C000657245
61 2569-2577 Disease denotes COVID-19 MESH:C000657245
62 2742-2748 Disease denotes deaths MESH:D003643
63 2796-2802 Disease denotes deaths MESH:D003643
65 2882-2890 Disease denotes COVID-19 MESH:C000657245
71 2976-2984 Disease denotes COVID-19 MESH:C000657245
72 3240-3248 Disease denotes COVID-19 MESH:C000657245
73 3347-3355 Disease denotes COVID-19 MESH:C000657245
74 3422-3430 Disease denotes COVID-19 MESH:C000657245
75 3485-3493 Disease denotes COVID-19 MESH:C000657245
77 3757-3765 Disease denotes COVID-19 MESH:C000657245
82 3856-3864 Disease denotes COVID-19 MESH:C000657245
83 4027-4035 Disease denotes COVID-19 MESH:C000657245
84 4347-4355 Disease denotes COVID-19 MESH:C000657245
85 4422-4430 Disease denotes COVID-19 MESH:C000657245
87 4798-4806 Disease denotes COVID-19 MESH:C000657245
89 5072-5091 Disease denotes coronavirus disease MESH:D018352
91 5207-5215 Disease denotes COVID-19 MESH:C000657245
93 5346-5354 Disease denotes COVID-19 MESH:C000657245
95 5670-5678 Disease denotes COVID-19 MESH:C000657245
97 5839-5847 Disease denotes COVID-19 MESH:C000657245
99 6052-6071 Disease denotes coronavirus disease MESH:D018352
105 6855-6863 Species denotes patients Tax:9606
106 6506-6509 Chemical denotes EEA
107 6465-6473 Disease denotes COVID-19 MESH:C000657245
108 6573-6581 Disease denotes COVID-19 MESH:C000657245
109 6904-6912 Disease denotes COVID-19 MESH:C000657245
117 7042-7050 Species denotes patients Tax:9606
118 7338-7341 Chemical denotes EEA
119 7056-7064 Disease denotes COVID-19 MESH:C000657245
120 7249-7257 Disease denotes COVID-19 MESH:C000657245
121 7565-7571 Disease denotes deaths MESH:D003643
122 8085-8093 Disease denotes COVID-19 MESH:C000657245
123 8241-8249 Disease denotes COVID-19 MESH:C000657245
131 8872-8882 Species denotes SARS-CoV-2 Tax:2697049
132 8916-8924 Species denotes patients Tax:9606
133 9194-9204 Species denotes SARS-COV-2 Tax:2697049
134 9732-9742 Species denotes SARS-CoV-2 Tax:2697049
135 9886-9894 Species denotes patients Tax:9606
136 8674-8682 Disease denotes COVID-19 MESH:C000657245
137 8930-8938 Disease denotes COVID-19 MESH:C000657245
144 10066-10082 Disease denotes Cornelia Adlhoch MESH:D003635
145 10214-10227 Disease denotes Scott Chiossi MESH:C563120
146 10276-10295 Disease denotes Stefania De Angelis MESH:D005862
147 10467-10474 Disease denotes Johnson MESH:C535882
148 10549-10575 Disease denotes Felix Lötsch, Otilia Mårdh
149 10688-10721 Disease denotes Pasi Penttinen, Anastasia Pharris MESH:C536653
152 11052-11060 Disease denotes COVID-19 MESH:C000657245
153 11153-11161 Disease denotes COVID-19 MESH:C000657245

MyTest

Id Subject Object Predicate Lexical cue
32186277-32070465-29324350 2120-2121 32070465 denotes 2
32186277-32156327-29324351 2392-2393 32156327 denotes 4
32186277-32070465-29324352 2544-2545 32070465 denotes 2
32186277-22777516-29324353 7780-7782 22777516 denotes 14

LitCovid-PMC-OGER-BB

Id Subject Object Predicate Lexical cue
T116 5839-5847 SP_7 denotes COVID-19
T114 4798-4806 SP_7 denotes COVID-19
T112 6465-6473 SP_7 denotes COVID-19
T111 6573-6581 SP_7 denotes COVID-19
T110 6904-6912 SP_7 denotes COVID-19
T109 7056-7064 SP_7 denotes COVID-19
T108 7139-7159 CL:0002211 denotes intensive care units
T107 7249-7257 SP_7 denotes COVID-19
T106 7565-7571 GO:0016265 denotes deaths
T105 8085-8093 SP_7 denotes COVID-19
T104 8241-8249 SP_7 denotes COVID-19
T103 8674-8682 SP_7 denotes COVID-19
T102 8872-8882 SP_7 denotes SARS-CoV-2
T101 8930-8938 SP_7 denotes COVID-19
T100 9194-9204 SP_7 denotes SARS-COV-2
T99 9689-9696 GO:0065007 denotes control
T98 9732-9742 SP_7 denotes SARS-CoV-2
T78 3856-3864 SP_7 denotes COVID-19
T77 4027-4035 SP_7 denotes COVID-19
T76 4347-4355 SP_7 denotes COVID-19
T75 4422-4430 SP_7 denotes COVID-19
T70 2976-2984 SP_7 denotes COVID-19
T69 3240-3248 SP_7 denotes COVID-19
T68 3347-3355 SP_7 denotes COVID-19
T67 3422-3430 SP_7 denotes COVID-19
T66 3485-3493 SP_7 denotes COVID-19
T60 1967-1975 SP_7 denotes COVID-19
T59 2037-2045 SP_7 denotes COVID-19
T58 2211-2219 SP_7 denotes COVID-19
T57 2339-2347 SP_7 denotes COVID-19
T56 2491-2498 NCBITaxon:9606 denotes persons
T55 2569-2577 SP_7 denotes COVID-19
T54 2742-2748 GO:0016265 denotes deaths
T53 2796-2802 GO:0016265 denotes deaths
T44 931-942 NCBITaxon:11118 denotes coronavirus
T43 962-974 SP_7 denotes severe acute
T42 975-986 SP_7;UBERON:0001004 denotes respiratory
T41 987-1009 SP_7 denotes syndrome coronavirus 2
T40 1011-1021 SP_7 denotes SARS-CoV-2
T39 1062-1072 SP_7 denotes SARS-CoV-2
T38 1098-1109 NCBITaxon:11118 denotes coronavirus
T37 1119-1127 SP_7 denotes COVID-19
T36 1165-1176 NCBITaxon:1 denotes individuals
T35 1182-1190 SP_7 denotes COVID-19
T34 1219-1236 UBERON:0000065 denotes respiratory tract
T32 1522-1530 SP_7 denotes COVID-19
T31 1612-1620 SP_7 denotes COVID-19
T30 1801-1809 SP_7 denotes COVID-19
T11 208-219 NCBITaxon:11118 denotes coronavirus
T10 229-237 SP_7 denotes COVID-19
T9 419-427 SP_7 denotes COVID-19
T8 624-632 SP_7 denotes COVID-19
T12 64-72 SP_7 denotes COVID-19
T13 43-54 NCBITaxon:11118 denotes coronavirus
T33 1322-1330 SP_7 denotes COVID-19

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 1219-1236 Body_part denotes respiratory tract http://purl.org/sig/ont/fma/fma265130
T2 9870-9874 Body_part denotes face http://purl.org/sig/ont/fma/fma24728
T3 10682-10686 Body_part denotes Palm http://purl.org/sig/ont/fma/fma24920

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 1219-1236 Body_part denotes respiratory tract http://purl.obolibrary.org/obo/UBERON_0000065
T2 9870-9874 Body_part denotes face http://purl.obolibrary.org/obo/UBERON_0001456

LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T1 64-72 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T2 229-237 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T3 419-427 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T4 624-632 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T5 731-740 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T6 962-1009 Disease denotes severe acute respiratory syndrome coronavirus 2 http://purl.obolibrary.org/obo/MONDO_0100096
T7 962-995 Disease denotes severe acute respiratory syndrome http://purl.obolibrary.org/obo/MONDO_0005091
T8 1011-1019 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T9 1062-1070 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T10 1073-1082 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T11 1119-1127 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T12 1182-1190 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T13 1219-1246 Disease denotes respiratory tract infection http://purl.obolibrary.org/obo/MONDO_0024355
T14 1237-1246 Disease denotes infection http://purl.obolibrary.org/obo/MONDO_0005550
T15 1263-1272 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T16 1322-1330 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T17 1522-1530 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T18 1612-1620 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T19 1801-1809 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T20 1900-1908 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T21 1967-1975 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T22 2037-2045 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T23 2211-2219 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T24 2339-2347 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T25 2569-2577 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T26 2882-2890 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T27 2976-2984 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T28 3240-3248 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T29 3347-3355 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T30 3422-3430 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T31 3485-3493 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T32 3757-3765 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T33 3856-3864 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T34 4027-4035 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T35 4347-4355 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T36 4422-4430 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T37 4798-4806 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T38 5062-5070 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T39 5207-5215 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T40 5346-5354 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T41 5670-5678 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T42 5839-5847 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T43 6042-6050 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T44 6465-6473 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T45 6573-6581 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T46 6904-6912 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T47 7056-7064 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T48 7249-7257 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T49 8085-8093 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T50 8241-8249 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T51 8674-8682 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T52 8872-8880 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T53 8930-8938 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T54 9194-9198 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T55 9732-9740 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T56 11052-11060 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T57 11153-11161 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 371-372 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T2 599-600 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T3 718-719 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T4 923-924 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T5 1083-1086 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T6 1196-1197 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T7 1217-1218 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T8 1345-1346 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T9 1537-1542 http://purl.obolibrary.org/obo/CLO_0053794 denotes 4% [1
T10 2127-2129 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T11 2183-2195 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T12 2220-2221 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T13 3311-3312 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T14 3340-3346 http://purl.obolibrary.org/obo/CLO_0001658 denotes active
T15 4642-4643 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 4812-4813 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T17 4918-4919 http://purl.obolibrary.org/obo/CLO_0001021 denotes B
T18 5160-5161 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T19 5299-5300 http://purl.obolibrary.org/obo/CLO_0001021 denotes b
T20 5471-5474 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T21 5475-5476 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T22 5712-5713 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T23 5731-5732 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T24 6626-6627 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T25 6877-6883 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tested
T26 6933-6940 http://purl.obolibrary.org/obo/UBERON_0000473 denotes testing
T27 7011-7012 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T28 7221-7225 http://purl.obolibrary.org/obo/CLO_0001001 denotes 8=13
T29 7267-7268 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T30 7443-7444 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T31 7509-7514 http://purl.obolibrary.org/obo/CLO_0009985 denotes focus
T32 7573-7574 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T33 7599-7601 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T34 7609-7610 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T35 7933-7935 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T36 8116-8117 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T37 8393-8394 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T38 8822-8823 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T39 9112-9113 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T40 9211-9212 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T41 9224-9225 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T42 9241-9242 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T43 9589-9590 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T44 9870-9874 http://purl.obolibrary.org/obo/UBERON_0001456 denotes face
T45 9875-9876 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T46 10525-10529 http://purl.obolibrary.org/obo/NCBITaxon_9940 denotes Lamb
T47 10983-10986 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T48 10997-10998 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T49 11305-11317 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-169 Sentence denotes Rapidly increasing cumulative incidence of coronavirus disease (COVID-19) in the European Union/European Economic Area and the United Kingdom, 1 January to 15 March 2020
T2 171-179 Sentence denotes Abstract
T3 180-477 Sentence denotes The cumulative incidence of coronavirus disease (COVID-19) cases is showing similar trends in European Union/European Economic Area countries and the United Kingdom confirming that, while at a different stage depending on the country, the COVID-19 pandemic is progressing rapidly in all countries.
T4 478-695 Sentence denotes Based on the experience from Italy, countries, hospitals and intensive care units should increase their preparedness for a surge of patients with COVID-19 who will require healthcare, and in particular intensive care.
T5 697-813 Sentence denotes On 31 December 2019, a cluster of pneumonia cases of unknown aetiology was reported in Wuhan, Hubei Province, China.
T6 814-1027 Sentence denotes On 9 January 2020, the China Center for Disease Control and Prevention reported the causative agent as being a novel coronavirus now referred to as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) [1].
T7 1028-1129 Sentence denotes Since, the illness resulting from SARS-CoV-2 infection has been named coronavirus disease (COVID-19).
T8 1130-1304 Sentence denotes Evidence to date is that ca 80% of individuals with COVID-19 have a mild disease, i.e. a respiratory tract infection with or without pneumonia, and most of these recover [1].
T9 1305-1475 Sentence denotes In ca 14% cases, COVID-19 develops into a more severe disease requiring hospitalisation while the remaining 6% cases experience critical illness requiring intensive care.
T10 1476-1544 Sentence denotes The mortality of patients hospitalised due to COVID-19 is ca 4% [1].
T11 1545-1762 Sentence denotes In this study, we assess the trends in the cumulative incidence of COVID-19 in each European Union/European Economic Area (EU/EEA) country and the United Kingdom (UK) and compare them to that of Hubei Province, China.
T12 1763-1898 Sentence denotes We also compare the current number of COVID-19 cases in EU/EEA countries and the UK with that in Italy during 31 January–15 March 2020.
T13 1900-1945 Sentence denotes COVID-19 cases in EU/EEA countries and the UK
T14 1946-2123 Sentence denotes Subsequent to China, COVID-19 underwent further geographical spread and the dynamic of the COVID-19 pandemic in the rest of the world currently follows that of this country [2].
T15 2124-2235 Sentence denotes On 11 March 2020, the Director General of the World Health Organization (WHO) declared COVID-19 a pandemic [3].
T16 2236-2397 Sentence denotes In the 5 March issue of Eurosurveillance 2020, Spiteri et al. reported on the first European confirmed COVID-19 cases according to the WHO case definition [4,5].
T17 2398-2547 Sentence denotes In the EU/EEA, the first three confirmed cases were reported by France on 24 January 2020 in persons returning from Wuhan, Hubei Province, China [2].
T18 2548-2824 Sentence denotes As at 15 March 2020, COVID-19 cases had been detected in all 30 EU/EEA countries and the United Kingdom (UK) [6], whereby between 31 December 2019 and that date included, 39,768 cases and 1,727 deaths had been reported, with 17,750 cases and 1,441 deaths from Italy alone [6].
T19 2826-2896 Sentence denotes Obtaining cumulative number and cumulative incidence of COVID-19 cases
T20 2897-3190 Sentence denotes At the European Centre for Disease Prevention and Control (ECDC), the notified COVID-19 case counts in each country worldwide, obtained from only official sources such as the countries’ Ministry of Health, national and regional health authorities and the WHO, are updated each day at 8:00 a.m.
T21 3191-3307 Sentence denotes These data were used for assessing the trends of COVID-19 in EU/EEA and the UK, and comparing them to that in Italy.
T22 3308-3572 Sentence denotes As a proxy of the prevalence of active COVID-19 cases, we calculated the 14-day truncated cumulative incidence of COVID-19 cases, thus taking into account the natural course of COVID-19, in each EU/EEA country and the UK, during the 1 January–15 March 2020 period.
T23 3573-3745 Sentence denotes We also presented the cumulative number of notified cases of each country as at 15 March 2020 8:00 a.m. compared with that of Italy for the 31 January–15 March 2020 period.
T24 3747-3796 Sentence denotes Trends of COVID-19 in EU/EEA countries and the UK
T25 3797-3963 Sentence denotes The trends in the 14-day truncated cumulative incidence of COVID-19 cases in EU/EEA countries and the UK generally followed that of Hubei Province (China) (Figure 1).
T26 3964-4151 Sentence denotes For the EU/EEA and the UK overall, the cumulative incidence of COVID-19 started to increase around 21 February and then increased sharply around 28 February 2020 (Supplementary material).
T27 4152-4381 Sentence denotes This was mostly driven by the rapid increase in the number of reported cases from Italy, but all other EU/EEA countries and the UK showed similar increasing trends of the cumulative incidence of COVID-19 (Supplementary material).
T28 4382-4537 Sentence denotes Figure 2 shows the cumulative number of COVID-19 cases, in EU/EEA countries and the UK compared with that in Italy for the 31 January–15 March 2020 period.
T29 4538-4721 Sentence denotes It highlights that, as at 15 March 8:00 a.m., 15 other EU/EEA countries and the UK had already reported a total number of cases comparable to that of Italy just 3 weeks prior or less.
T30 4722-5061 Sentence denotes Figure 1 Time distribution of the 14-day truncated cumulative incidence of COVID-19 for (A) 14-day truncated cumulative incidence ≥ 4.0 cases per 100,000 population and > 30 notified casesa and (B) 14-day truncated cumulative incidence < 4.0 cases per 100,000 population or < 30 notified casesb, EU/EEA countriesand the UKc, 15 March 2020
T31 5062-5100 Sentence denotes COVID-19: coronavirus disease; EU/EEA:
T32 5101-5143 Sentence denotes European Union/European Economic Area; UK:
T33 5144-5159 Sentence denotes United Kingdom.
T34 5160-5298 Sentence denotes a The 14-day truncated cumulative incidence of COVID-19 cases distribution in each country is compared with that of Hubei Province, China.
T35 5299-5622 Sentence denotes b The 14-day truncated cumulative incidence of COVID-19 cases distribution in each country is compared with that of Italy (which, unlike the other countries in this panel, has a 14-day truncated cumulative incidence of ≥ 4.0 cases per 100,000 population and > 30 notified cases as at 15 March) and of Hubei Province, China.
T36 5623-5807 Sentence denotes c The 14-day truncated cumulative incidence of COVID-19 cases is shown from the day (D1) a country reported a 14-day truncated cumulative incidence > 0.05 cases per 100,000 population.
T37 5808-6041 Sentence denotes Figure 2 Cumulative number of COVID-19 cases in EU/EEA countries and the UK as at 15 March compared with that in Italy, 31 January–15 March 2020 (total number of cases in the EU/EEA and the UK as at 15 March 2020 8:00 a.m. = 39,768)
T38 6042-6080 Sentence denotes COVID-19: coronavirus disease; EU/EEA:
T39 6081-6123 Sentence denotes European Union/European Economic Area; UK:
T40 6124-6139 Sentence denotes United Kingdom.
T41 6140-6314 Sentence denotes The crimson red bar indicates the position of Italy as at 15 March, while the red, orange and yellow bars indicate the position of Italy 1, 2 and 3 weeks prior, respectively.
T42 6315-6394 Sentence denotes The number of cases in each country as at 15 March is indicated in parentheses.
T43 6396-6406 Sentence denotes Discussion
T44 6407-6521 Sentence denotes Our results indicate that the number of notified cases of COVID-19 is rapidly increasing in the EU/EEA and the UK.
T45 6522-6662 Sentence denotes The observed trends in the cumulative incidence of COVID-19 suggest that the pandemic is progressing at a comparable speed in all countries.
T46 6663-6941 Sentence denotes This is despite countries being at different stages, variations in national public health responses, and possibly different case definitions in countries and different protocols for selecting patients that must be tested for confirmation of COVID-19, including catch-up testing.
T47 6942-7227 Sentence denotes Early March 2020, doctors in the affected regions of Italy described a situation in which ca 10% of patients with COVID-19 required intensive care [7] and media sources reported that hospitals and intensive care units in these regions had already reached their maximum capacity [8=13].
T48 7228-7404 Sentence denotes Data on admission of COVID-19 cases in a hospital and/or an intensive care unit are currently available at EU/EEA level for only 6% and 1% cases, respectively (data not shown).
T49 7405-7572 Sentence denotes They should, however, be collected in a systematic fashion to complement current surveillance data that focus on the number of reported cases and the number of deaths.
T50 7573-7784 Sentence denotes A study performed in 2010–11 showed a large variation in the availability of intensive care and intermediate care beds in Europe, ranging from 29.2 in Germany to 4.2 beds per 100,000 population in Portugal [14].
T51 7785-7937 Sentence denotes This means that countries may have more or less resources than Italy (12.5 intensive care and intermediate care beds per 100,000 population in 2010–11).
T52 7938-8254 Sentence denotes Modelling scenarios related to healthcare capacity saturation, with estimates for each EU/EEA country and the UK of the prevalence of hospitalised COVID-19 cases associated with a > 90% risk of exceeding intensive care bed capacity, are provided in the sixth update of the ECDC rapid risk assessment on COVID-19 [1].
T53 8255-8591 Sentence denotes Since cases have so far clustered in certain regions in EU/EEA countries and the UK, and hospitals and intensive care units usually serve a defined regional catchment population, information about cases and intensive care beds should preferably be made available at the Nomenclature of territorial units for statistics 2 (NUTS-2) level.
T54 8592-8740 Sentence denotes The experience from Italy and the current trends in other countries show that the COVID-19 pandemic is progressing rapidly in the EU/EEA and the UK.
T55 8741-9054 Sentence denotes Countries, hospitals and intensive care units should thus prepare themselves for a scenario of sustained community transmission of SARS-CoV-2 and an increase in the number of patients with COVID-19 requiring healthcare, and in particular intensive care, such as the one occurring in the affected regions of Italy.
T56 9055-9475 Sentence denotes As pointed out in the recent ECDC rapid risk assessment, a rapid, proactive and comprehensive approach is essential to delay the spread of SARS-COV-2, with a shift from a containment to a mitigation approach, as the anticipated rapid increase in the number of cases may not provide decision makers and hospitals enough time to comprehend, accept and adapt their response accordingly if not implemented ahead of time [1].
T57 9476-9579 Sentence denotes The rapid risk assessment also lists the public health measures to mitigate the impact of the pandemic.
T58 9580-9783 Sentence denotes There is a short window of opportunity during which countries have the possibility to further increase their control efforts to slow down the spread of SARS-CoV-2 and decrease the pressure on healthcare.
T59 9784-9955 Sentence denotes Failing this, it is likely that the healthcare systems of other EU/EEA countries will face a surge of patients that require intensive care within the coming days or weeks.
T60 9957-9971 Sentence denotes Editorial note
T61 9972-10030 Sentence denotes This article was published as an e-Alert on 16 March 2020.
T62 10032-10065 Sentence denotes ECDC Public Health Emergency Team
T63 10066-10837 Sentence denotes Cornelia Adlhoch, Agoritsa Baka, Julien Beauté, Jordi Borrell Pique, Eeva Broberg, Sergio Brusin, Nick Bundle, Mike Catchpole, Orlando Cenciarelli, Scott Chiossi, Bruno Ciancio, Catia Cunha, Angelo D'Ambrosio, Stefania De Angelis, Dragoslav Domanović, Margot Einöder-Moreno, Laura Espinosa, Emilie Finch, Silvia Funke, Céline Gossner, Gaëtan Guyodo, Joana Haussig, Hector Honrubia, Josep Jansa, Helen Johnson, Tommi Kärki, John Kinsman, Csaba Ködmön, Favelle Lamb, Katrin Leitmeyer, Felix Lötsch, Otilia Mårdh, Angeliki Melidou, Hanna Merk, Grazina Mirinaviciutė, Thomas Mollet, Lina Nerlander, Teymur Noori, Daniel Palm, Pasi Penttinen, Anastasia Pharris, Diamantis Plachouras, Emmanuel Robesyn, Senia Rosales-Klintz, Andreea Salajan, Gianfranco Spiteri, Svetla Tsolova.
T64 10838-10859 Sentence denotes Conflict of interest:
T65 10860-10874 Sentence denotes None declared.
T66 10875-10898 Sentence denotes Authors’ contributions:
T67 10899-11070 Sentence denotes Since 9 January 2020, the European Centre for Disease Prevention and Control (ECDC) has assembled a Public Health Emergency Team for its response to the COVID-19 pandemic.
T68 11071-11318 Sentence denotes The ECDC Public Health Emergency Team obtained and verified data on the number of COVID-19 cases from official sources such as the countries’ Ministry of Health, national and regional health competent authorities and the World Health Organization.
T69 11319-11372 Sentence denotes Carl Suetens and Edoardo Colzani initiated the study.
T70 11373-11430 Sentence denotes Leonidas Alexakis and Ariana Wijermans verified the data.
T71 11431-11492 Sentence denotes Pete Kinross, Carl Suetens, Joana Gomes Dias and Dominique L.
T72 11493-11543 Sentence denotes Monnet analysed the data and prepared the figures.
T73 11544-11556 Sentence denotes Dominique L.
T74 11557-11660 Sentence denotes Monnet produced the initial draft of the manuscript and all authors contributed to subsequent versions.
T75 11662-11680 Sentence denotes Supplementary Data
T76 11681-11703 Sentence denotes Supplementary Material
T77 11704-11740 Sentence denotes Click here for additional data file.

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 731-740 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T2 1219-1246 Phenotype denotes respiratory tract infection http://purl.obolibrary.org/obo/HP_0011947
T3 1263-1272 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090

2_test

Id Subject Object Predicate Lexical cue
32186277-32070465-29324350 2120-2121 32070465 denotes 2
32186277-32156327-29324351 2392-2393 32156327 denotes 4
32186277-32070465-29324352 2544-2545 32070465 denotes 2
32186277-22777516-29324353 7780-7782 22777516 denotes 14