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LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
2 24-43 Disease denotes coronavirus disease MESH:D018352
3 45-53 Disease denotes COVID-19 MESH:C000657245
12 372-388 Species denotes SARS coronavirus Tax:694009
13 390-398 Species denotes SARS-CoV Tax:694009
14 527-537 Species denotes SARS-CoV-2 Tax:2697049
15 723-729 Species denotes people Tax:9606
16 187-202 Disease denotes viral pneumonia
17 321-341 Disease denotes respiratory syndrome MESH:D012120
18 486-505 Disease denotes coronavirus disease MESH:D018352
19 507-515 Disease denotes COVID-19 MESH:C000657245
27 1136-1144 Disease denotes COVID-19 MESH:C000657245
28 1236-1244 Disease denotes COVID-19 MESH:C000657245
29 1245-1251 Disease denotes deaths MESH:D003643
30 1474-1482 Disease denotes COVID-19 MESH:C000657245
31 1777-1791 Disease denotes new infections MESH:C000657245
32 1942-1950 Disease denotes COVID-19 MESH:C000657245
33 2590-2598 Disease denotes COVID-19 MESH:C000657245
35 3361-3369 Disease denotes COVID-19 MESH:C000657245
37 3524-3532 Disease denotes COVID-19 MESH:C000657245
40 4202-4210 Disease denotes COVID-19 MESH:C000657245
41 4310-4328 Disease denotes infectious disease MESH:D003141
50 5357-5365 Species denotes patients Tax:9606
51 4504-4512 Disease denotes COVID-19 MESH:C000657245
52 5195-5200 Disease denotes fever MESH:D005334
53 5202-5213 Disease denotes sore throat MESH:D010608
54 5218-5223 Disease denotes cough MESH:D003371
55 5234-5244 Disease denotes pneumonias MESH:D011014
56 5396-5410 Disease denotes critically ill MESH:D016638
57 5448-5456 Disease denotes COVID-19 MESH:C000657245
71 5838-5842 Gene denotes ship Gene:3635
72 6051-6057 Species denotes people Tax:9606
73 6128-6131 Species denotes men Tax:9606
74 6136-6142 Species denotes people Tax:9606
75 6218-6226 Species denotes Children Tax:9606
76 6258-6268 Species denotes SARS-CoV-2 Tax:2697049
77 6296-6304 Species denotes children Tax:9606
78 5591-5601 Disease denotes infections MESH:D007239
79 5885-5895 Disease denotes infections MESH:D007239
80 6148-6160 Disease denotes hypertension MESH:D006973
81 6162-6170 Disease denotes diabetes MESH:D003920
82 6183-6201 Disease denotes pulmonary diseases MESH:D008171
83 6244-6252 Disease denotes infected MESH:D007239
87 7052-7062 Chemical denotes remdesivir MESH:C000606551
88 7064-7082 Chemical denotes hydroxychloroquine MESH:D006886
89 7104-7113 Chemical denotes lopinavir MESH:D061466
92 7418-7422 Species denotes H1N1 Tax:114727
93 7336-7344 Disease denotes COVID-19 MESH:C000657245
99 8952-8958 Species denotes people Tax:9606
100 8024-8032 Disease denotes COVID-19 MESH:C000657245
101 8161-8169 Disease denotes COVID-19 MESH:C000657245
102 9245-9253 Disease denotes COVID-19 MESH:C000657245
103 9892-9900 Disease denotes COVID-19 MESH:C000657245
107 10576-10586 Disease denotes infections MESH:D007239
108 10790-10798 Disease denotes COVID-19 MESH:C000657245
109 10879-10887 Disease denotes COVID-19 MESH:C000657245

LitCovid-PD-FMA-UBERON

Id Subject Object Predicate Lexical cue fma_id
T1 235-239 Body_part denotes Back http://purl.org/sig/ont/fma/fma25056
T2 468-472 Body_part denotes back http://purl.org/sig/ont/fma/fma25056
T3 3916-3919 Body_part denotes map http://purl.org/sig/ont/fma/fma67847
T4 4592-4599 Body_part denotes genomes http://purl.org/sig/ont/fma/fma84116
T5 5207-5213 Body_part denotes throat http://purl.org/sig/ont/fma/fma228738
T6 10479-10483 Body_part denotes back http://purl.org/sig/ont/fma/fma25056

LitCovid-PD-UBERON

Id Subject Object Predicate Lexical cue uberon_id
T1 887-892 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T2 5207-5213 Body_part denotes throat http://purl.obolibrary.org/obo/UBERON_0000341
T3 6547-6552 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T4 9142-9147 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542
T5 10034-10039 Body_part denotes scale http://purl.obolibrary.org/obo/UBERON_0002542

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 187-202 Disease denotes viral pneumonia http://purl.obolibrary.org/obo/MONDO_0006012
T3 193-202 Disease denotes pneumonia http://purl.obolibrary.org/obo/MONDO_0005249
T4 343-347 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T5 372-376 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T6 390-398 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T7 507-515 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 527-535 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T9 564-568 Disease denotes SARS http://purl.obolibrary.org/obo/MONDO_0005091
T10 1136-1144 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T11 1236-1244 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T12 1474-1482 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T13 1781-1794 Disease denotes infections in http://purl.obolibrary.org/obo/MONDO_0005550
T14 1942-1950 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T15 2590-2598 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T16 3361-3369 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T17 3524-3532 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T18 4202-4210 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T19 4310-4328 Disease denotes infectious disease http://purl.obolibrary.org/obo/MONDO_0005550
T20 4504-4512 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T21 5202-5213 Disease denotes sore throat http://purl.obolibrary.org/obo/MONDO_0002258
T22 5234-5244 Disease denotes pneumonias http://purl.obolibrary.org/obo/MONDO_0005249
T23 5448-5456 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T24 5591-5601 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T25 5885-5895 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T26 6148-6160 Disease denotes hypertension http://purl.obolibrary.org/obo/MONDO_0005044
T27 6162-6170 Disease denotes diabetes http://purl.obolibrary.org/obo/MONDO_0005015
T28 6183-6201 Disease denotes pulmonary diseases http://purl.obolibrary.org/obo/MONDO_0005275
T29 6258-6266 Disease denotes SARS-CoV http://purl.obolibrary.org/obo/MONDO_0005091
T30 6451-6465 Disease denotes infectiousness http://purl.obolibrary.org/obo/MONDO_0005550
T31 7336-7344 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T32 7406-7423 Disease denotes influenza A(H1N1) http://purl.obolibrary.org/obo/MONDO_0005460
T33 7406-7415 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T34 7858-7867 Disease denotes influenza http://purl.obolibrary.org/obo/MONDO_0005812
T35 8024-8032 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T36 8161-8169 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T37 9245-9253 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T38 9892-9900 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T39 10576-10586 Disease denotes infections http://purl.obolibrary.org/obo/MONDO_0005550
T40 10790-10798 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T41 10879-10887 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 123-124 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T3 174-175 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T4 246-247 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T5 538-541 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T6 704-705 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T7 821-826 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T8 885-886 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T9 993-998 http://purl.obolibrary.org/obo/CLO_0009985 denotes focus
T10 1232-1235 http://purl.obolibrary.org/obo/CLO_0054061 denotes 132
T11 1373-1374 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T12 2356-2357 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T13 2425-2426 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T14 2567-2572 http://purl.obolibrary.org/obo/UBERON_0001456 denotes faced
T15 2573-2574 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T16 3474-3483 http://purl.obolibrary.org/obo/NCBITaxon_33208 denotes animation
T17 3611-3613 http://purl.obolibrary.org/obo/CLO_0050050 denotes S1
T18 3637-3639 http://purl.obolibrary.org/obo/CLO_0050509 denotes 27
T19 3755-3756 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T20 4005-4018 http://purl.obolibrary.org/obo/OBI_0000245 denotes organisations
T21 4246-4249 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T22 4490-4495 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T23 4660-4661 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T24 4698-4703 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T25 4818-4819 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T26 4993-5000 http://purl.obolibrary.org/obo/CLO_0053001 denotes 1 to 14
T27 5158-5159 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T28 5473-5475 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T29 5620-5625 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T30 5797-5798 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T31 5829-5830 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T32 6006-6011 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T33 6369-6374 http://purl.obolibrary.org/obo/CLO_0009985 denotes focus
T34 6432-6437 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T35 6494-6499 http://purl.obolibrary.org/obo/UBERON_0000473 denotes tests
T36 6864-6865 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T37 6921-6933 http://purl.obolibrary.org/obo/OBI_0000245 denotes Organization
T38 7087-7088 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T39 7172-7173 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T40 7270-7272 http://purl.obolibrary.org/obo/CLO_0050510 denotes 18
T41 7281-7282 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T42 7416-7417 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T43 7536-7549 http://purl.obolibrary.org/obo/OBI_0000245 denotes organisations
T44 7595-7596 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T45 7686-7690 http://purl.obolibrary.org/obo/CLO_0008416 denotes peer
T46 7686-7690 http://purl.obolibrary.org/obo/CLO_0050081 denotes peer
T47 7882-7885 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T48 7894-7907 http://purl.obolibrary.org/obo/OBI_0000245 denotes organisations
T49 8033-8034 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T50 8110-8111 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T51 8124-8126 http://purl.obolibrary.org/obo/CLO_0053733 denotes 11
T52 8214-8215 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T53 8352-8357 http://purl.obolibrary.org/obo/NCBITaxon_10239 denotes virus
T54 8491-8492 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T55 8629-8630 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T56 9024-9025 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T57 9076-9077 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T58 9130-9131 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T59 9263-9266 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T60 9273-9274 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T61 9647-9648 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T62 9869-9870 http://purl.obolibrary.org/obo/CLO_0001020 denotes A
T63 10032-10033 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T64 10430-10433 http://purl.obolibrary.org/obo/CLO_0051582 denotes has
T65 10506-10513 http://purl.obolibrary.org/obo/SO_0000418 denotes signals
T66 10680-10681 http://purl.obolibrary.org/obo/CLO_0001020 denotes a
T67 11060-11069 http://purl.obolibrary.org/obo/NCBITaxon_33208 denotes animation

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 6877-6886 Chemical denotes antiviral http://purl.obolibrary.org/obo/CHEBI_22587
T2 6897-6902 Chemical denotes drugs http://purl.obolibrary.org/obo/CHEBI_23888
T3 7052-7062 Chemical denotes remdesivir http://purl.obolibrary.org/obo/CHEBI_145994
T4 7064-7082 Chemical denotes hydroxychloroquine http://purl.obolibrary.org/obo/CHEBI_5801
T5 7104-7127 Chemical denotes lopinavir and ritonavir http://purl.obolibrary.org/obo/CHEBI_145924
T6 7104-7113 Chemical denotes lopinavir http://purl.obolibrary.org/obo/CHEBI_31781
T7 7118-7127 Chemical denotes ritonavir http://purl.obolibrary.org/obo/CHEBI_45409
T8 7144-7154 Chemical denotes interferon http://purl.obolibrary.org/obo/CHEBI_52999
T9 7155-7159 Chemical denotes beta http://purl.obolibrary.org/obo/CHEBI_10545
T10 10235-10239 Chemical denotes gold http://purl.obolibrary.org/obo/CHEBI_29287|http://purl.obolibrary.org/obo/CHEBI_30050
T12 10249-10257 Chemical denotes solution http://purl.obolibrary.org/obo/CHEBI_75958

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T1 0-63 Sentence denotes A hundred days into the coronavirus disease (COVID-19) pandemic
T2 65-234 Sentence denotes On 8 April 2020, 100 days have passed since ProMed posted a ‘request for information’ about the emergence of a cluster of viral pneumonia of unknown origin in Wuhan [1].
T3 235-412 Sentence denotes Back then, a number of similarities triggered memories of the beginning of the severe respiratory syndrome (SARS) epidemic caused by the SARS coronavirus (SARS-CoV) in 2003 [2].
T4 413-611 Sentence denotes Today, the ProMed post of 30 December 2019 appears far back in time; the coronavirus disease (COVID-19) caused by SARS-CoV-2 has far exceeded the 2003 SARS epidemic in terms of magnitude and impact.
T5 612-933 Sentence denotes Since the beginning of January 2020, weeks and days have been dominated by changes that had a major bearing on people’s professional and personal lives; changes in the epidemic, changes in knowledge about the virus and the disease, and changes in public health measures at a scale that only months ago were inconceivable.
T6 935-953 Sentence denotes Epidemic evolution
T7 954-1070 Sentence denotes In January and February, the worldwide focus of attention was China where cases and fatalities increased day by day.
T8 1071-1266 Sentence denotes Just 30 days after ProMed’s post, on 29 January, 6,065 confirmed COVID-19 cases had been notified worldwide, mainly from China, where all 1,239 severe cases and 132 COVID-19 deaths were reported.
T9 1267-1425 Sentence denotes At that point, only 68 cases had been identified in 15 countries outside mainland China, all of which had a link to China or to cases from China [3] (Figure).
T10 1426-1543 Sentence denotes By 28 February, 30 days later, 83,652 confirmed COVID-19 cases had been reported from 51 countries on all continents.
T11 1544-1756 Sentence denotes Countries outside mainland China still accounted for only 4.5% (n = 3,664) of the notified cases with some, including Italy, Germany, and France in Europe, already experiencing limited autochthonous transmission.
T12 1757-1960 Sentence denotes From late February, new infections in China declined rapidly after the implementation of sweeping social distancing measures, while attention turned to Europe, the new epicentre of the COVID-19 pandemic.
T13 1961-2152 Sentence denotes Italy was initially the country hit the hardest by far, Spain, the Netherlands and others followed; France and Germany had experienced the first importation of cases already in January [4,5].
T14 2153-2344 Sentence denotes On 10 March, Italy passed the mark of 10,000 confirmed cases and on 19 March, the total number of fatalities in Italy exceeded 3,000, topping the total number of reported fatalities in China.
T15 2345-2545 Sentence denotes Cases with a link to Italy and neighbouring regions of Austria were detected in a number of European countries in February and early March, often linked to tourists returning from skiing holidays [6].
T16 2546-2693 Sentence denotes Outside Europe, Iran faced a rapid surge of COVID-19 followed by exportation of cases mostly to countries in the Middle East but also overseas [7].
T17 2694-2961 Sentence denotes More recently, the United States in North America, and in Europe the United Kingdom emerged as new epidemic hotspots with 124,655 cases plus 2,191 fatalities and 17,089 cases plus 1,019 fatalities, respectively, reported by 29 March, day 90 after the ProMed post [3].
T18 2962-3112 Sentence denotes Recently, increasing case numbers have also been seen in Africa and in Asian countries outside China that had not been affected early in the pandemic.
T19 3113-3343 Sentence denotes On 8 April, day 100 after ProMed’s ‘request for information’, 1,391,890 cases including 81,478 fatalities have been reported from more than 200 countries/territories worldwide and only few countries appear to have passed the peak.
T20 3344-3470 Sentence denotes Figure Reported COVID-19 cases per 100,000 population by country over 100 days, 30 December 2019–8 April 2020 (n = 1,391,890)
T21 3471-3615 Sentence denotes An animation of the cumulative number of reported of COVID-19 cases per 100,000 population is provided in the supplementary material (Video S1).
T22 3616-3728 Sentence denotes On 31 December 2019, 27 cases were officially reported by the Hubei Provincial Health and Health Commission [1].
T23 3729-3812 Sentence denotes The red asterisk in panel A indicates the location of Wuhan, Hubei Province, China.
T24 3813-3820 Sentence denotes Source:
T25 3821-3872 Sentence denotes European Centre for Disease Prevention and Control.
T26 3873-3990 Sentence denotes The boundaries and names indicated on this map do not imply official endorsement or acceptance by the European Union.
T27 3991-4220 Sentence denotes International organisations such as the European Centre for Disease Prevention and Control have used novel technologies and open access resources as well as official reporting data to trace the evolution of the COVID-19 pandemic.
T28 4221-4444 Sentence denotes For the first time, this has enabled updating public health practitioners, policymakers, infectious disease specialists and the general public on the numbers of pandemic cases in close to real time and with high resolution.
T29 4446-4485 Sentence denotes Knowledge gains and remaining questions
T30 4486-4708 Sentence denotes The virus causing COVID-19 was identified and announced on 7 January and by 10 January, sequences of five genomes had been shared, providing scientists around the world with a basis for development of diagnostic tests [8].
T31 4709-4817 Sentence denotes There was fast growing knowledge about several important parameters for understanding the spread of disease.
T32 4818-5477 Sentence denotes A number of studies in various settings determined the basic reproductive number R0 to be within the range of 2–3 [9,10]; the incubation period was determined as ranging from 1 to 14 days with an average of 5–6 days; transmission through droplets was established as the main mode of transmission; the clinical picture that emerged included a wide range from mild symptoms with fever, sore throat and cough to severe pneumonias with characteristic features on computed tomography scans; in Hubei, China, up to 13.8% of laboratory-confirmed patients had severe disease, 6.1% were critically ill and the case fatality rate among all COVID-19 cases was 2.3% [11].
T33 5478-5719 Sentence denotes Further questions on topics such as the possibility of asymptomatic transmission, the proportion of asymptomatic infections, stability of the virus in the environment and main risk groups [12] were partly answered as the pandemic progressed.
T34 5720-5945 Sentence denotes Evidence of asymptomatic transmission was documented in several settings and a study based on an outbreak on a cruise ship determined the proportion of asymptomatic infections as 17.9% (95% credible interval: 15.5–20.2) [13].
T35 5946-6039 Sentence denotes Laboratory experiments provided data on the survival of the virus on different surfaces [14].
T36 6040-6217 Sentence denotes Aside from people older than 70 years, severe and fatal cases were seen particularly in men and people with hypertension, diabetes, underlying pulmonary diseases and in smokers.
T37 6218-6364 Sentence denotes Children were shown to be infected with SARS-CoV-2 [15], however, the role of children in disease transmission still needs to be fully elucidated.
T38 6365-6466 Sentence denotes The focus of ongoing research includes determining the duration of virus shedding and infectiousness.
T39 6467-6600 Sentence denotes Development of serological tests with good sensitivity and specificity for wide-scale use is necessary to assess population immunity.
T40 6601-6779 Sentence denotes Serological studies have been started in several European countries to define population immunity and studies on the duration of immunity will need to be conducted in the future.
T41 6780-6903 Sentence denotes Clinical trials are being conducted worldwide to investigate treatment options with a variety of antiviral and other drugs.
T42 6904-7171 Sentence denotes The World Health Organization (WHO) and European Union-funded projects are coordinating multi-centre adaptive trials to assess the effectiveness of remdesivir, hydroxychloroquine and a combination of lopinavir and ritonavir with or without interferon-beta-1a [16,17].
T43 7172-7280 Sentence denotes A number of vaccine trials are ongoing worldwide with earliest results expected within the coming 18 months.
T44 7281-7438 Sentence denotes A number of questions and challenges that arose in the COVID-19 pandemic appear similar to those experienced during the 2009 influenza A(H1N1)pdm09 pandemic.
T45 7439-7805 Sentence denotes However, information sharing by scientists was faster in 2020, also facilitated by international organisations, widespread social media use and policies of a number of scientific journals, including Eurosurveillance, that enabled fast-tracking of peer-reviewed articles, publishing of articles already deposited in pre-print servers, and making articles open access.
T46 7806-7981 Sentence denotes In particular, the global initiative on sharing all influenza data (GISAID) has allowed organisations like nextstrain.org to collectively perform analysis in almost real time.
T47 7983-8006 Sentence denotes Measures and challenges
T48 8007-8141 Sentence denotes The WHO declared COVID-19 a Public Health Emergency of International Concern (PHEIC) on 30 January and a pandemic on 11 March [18,19].
T49 8142-8294 Sentence denotes In response to the COVID-19 pandemic, countries worldwide have taken to a wide range of measures, initially to contain and later to mitigate its impact.
T50 8295-8510 Sentence denotes The current goal is primarily to limit the spread of the virus through physical distancing i.e. lowering contact rates in order to gain time for preparing critical services such as healthcare for a high demand [20].
T51 8511-8662 Sentence denotes Reducing exposure also aims to protect the most vulnerable population groups and healthcare workers in the absence of a vaccine and specific treatment.
T52 8663-8992 Sentence denotes In Europe, measures have comprised closure of borders, closure of educational institutions such as schools, nurseries and universities, closure of museums and theatres, closure of shops and restaurants, restriction of movement and suspension of public gatherings even with small groups of people, and lockdown of whole countries.
T53 8993-9240 Sentence denotes Obviously, these measures have a far-reaching impact on individuals and society as a whole and they were taken at different times and on a different scale depending on the countries’ epidemiological, geographical, political and societal situation.
T54 9241-9385 Sentence denotes The COVID-19 pandemic has posed a number of public health challenges and some vulnerabilities in health sector preparedness have become evident.
T55 9386-9584 Sentence denotes In times of public health emergencies, setting research priorities and conducting research risks duplication of efforts, and strong coordinating mechanisms and oversight are necessary to avoid this.
T56 9585-9704 Sentence denotes Further, timely communication and conveying uncertainties are a recurrent challenge for public health and policymakers.
T57 9705-9868 Sentence denotes Informed risk communication, streamlining of messages and collaboration with the media play an important role in mitigating the impact of any public health crisis.
T58 9869-10093 Sentence denotes A new challenge of the COVID-19 pandemic is how to identify the right moment and determine the correct means for escalation and de-escalation of measures taken at a scale that was beyond imagination for many only months ago.
T59 10094-10325 Sentence denotes While there will be common principles such as timeliness, proportionality and acceptability of measures, there will most probably not be one gold standard solution for all and the approaches will need to be flexible and responsive.
T60 10326-10426 Sentence denotes Only the future can show which strategies and measures were most successful in curbing the pandemic.
T61 10427-10608 Sentence denotes It has taken China around 100 days to start getting back to ‘normal’ and early signals from some countries seem to indicate that the increase of new infections may have slowed down.
T62 10609-10804 Sentence denotes However, the majority of countries worldwide are just beginning to see a surge in cases and excess all-cause mortality is high in several of the European countries most affected by COVID-19 [21].
T63 10805-10963 Sentence denotes While it is yet impossible to predict where we will be 100 days from now, COVID-19 will certainly still be on our agenda and there is no room for complacency.
T64 10965-10981 Sentence denotes Acknowledgements
T65 10982-11070 Sentence denotes Special thanks to Ariana Wijermans and Dragos Platon who created the maps and animation.
T66 11072-11093 Sentence denotes Conflict of interest:
T67 11094-11108 Sentence denotes None declared.
T68 11110-11128 Sentence denotes Supplementary Data
T69 11129-11139 Sentence denotes Supplement
T70 11140-11176 Sentence denotes Click here for additional data file.

LitCovid-PD-HP

Id Subject Object Predicate Lexical cue hp_id
T1 193-202 Phenotype denotes pneumonia http://purl.obolibrary.org/obo/HP_0002090
T2 5195-5200 Phenotype denotes fever http://purl.obolibrary.org/obo/HP_0001945
T3 5202-5213 Phenotype denotes sore throat http://purl.obolibrary.org/obo/HP_0033050
T4 5218-5223 Phenotype denotes cough http://purl.obolibrary.org/obo/HP_0012735
T5 5234-5244 Phenotype denotes pneumonias http://purl.obolibrary.org/obo/HP_0002090
T6 6148-6160 Phenotype denotes hypertension http://purl.obolibrary.org/obo/HP_0000822

2_test

Id Subject Object Predicate Lexical cue
32290905-31992387-29338432 4705-4706 31992387 denotes 8
32290905-32052846-29338433 4933-4934 32052846 denotes 9
32290905-32097725-29338434 4935-4937 32097725 denotes 10
32290905-32183930-29338435 5941-5943 32183930 denotes 13
32290905-32182409-29338436 6035-6037 32182409 denotes 14
32290905-32187458-29338437 6270-6272 32187458 denotes 15

MyTest

Id Subject Object Predicate Lexical cue
32290905-31992387-29338432 4705-4706 31992387 denotes 8
32290905-32052846-29338433 4933-4934 32052846 denotes 9
32290905-32097725-29338434 4935-4937 32097725 denotes 10
32290905-32183930-29338435 5941-5943 32183930 denotes 13
32290905-32182409-29338436 6035-6037 32182409 denotes 14
32290905-32187458-29338437 6270-6272 32187458 denotes 15