PubMed:33012863
Annnotations
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T1 | 0-8 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T2 | 137-161 | Disease | denotes | coronavirus disease 2019 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T3 | 163-171 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T4 | 391-399 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T5 | 492-500 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T6 | 702-710 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T7 | 1174-1184 | Disease | denotes | COVID-2019 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T8 | 1448-1456 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T9 | 1654-1663 | Disease | denotes | infection | http://purl.obolibrary.org/obo/MONDO_0005550 |
T10 | 1798-1806 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T1 | 247-255 | http://purl.obolibrary.org/obo/OBI_0000245 | denotes | organize |
T2 | 247-255 | http://purl.obolibrary.org/obo/OBI_0100026 | denotes | organize |
T3 | 247-255 | http://purl.obolibrary.org/obo/UBERON_0000468 | denotes | organize |
T4 | 1092-1093 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T5 | 1161-1163 | http://purl.obolibrary.org/obo/CLO_0050510 | denotes | 18 |
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
1 | 0-8 | Disease | denotes | COVID-19 | MESH:C000657245 |
15 | 137-161 | Disease | denotes | coronavirus disease 2019 | MESH:C000657245 |
16 | 163-171 | Disease | denotes | COVID-19 | MESH:C000657245 |
17 | 391-399 | Disease | denotes | COVID-19 | MESH:C000657245 |
18 | 459-465 | Species | denotes | People | Tax:9606 |
19 | 492-500 | Disease | denotes | COVID-19 | MESH:C000657245 |
20 | 702-710 | Disease | denotes | COVID-19 | MESH:C000657245 |
21 | 711-719 | Species | denotes | patients | Tax:9606 |
22 | 1174-1184 | Disease | denotes | COVID-2019 | MESH:C000657245 |
23 | 1434-1440 | Disease | denotes | deaths | MESH:D003643 |
24 | 1448-1456 | Disease | denotes | COVID-19 | MESH:C000657245 |
25 | 1635-1641 | Species | denotes | people | Tax:9606 |
26 | 1654-1663 | Disease | denotes | infection | MESH:D007239 |
27 | 1798-1806 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T1 | 0-51 | Sentence | denotes | COVID-19 control strategies in Taizhou city, China. |
T2 | 52-60 | Sentence | denotes | Problem: |
T3 | 61-233 | Sentence | denotes | On 21 January 2020, the city of Taizhou, China, reported its first imported coronavirus disease 2019 (COVID-19) case and subsequently the number of cases rapidly increased. |
T4 | 234-243 | Sentence | denotes | Approach: |
T5 | 244-458 | Sentence | denotes | To organize the emergency responses, the government of Taizhou established on 23 January 2020 novel headquarters for prevention and control of the COVID-19 outbreak, by coordinating different governmental agencies. |
T6 | 459-575 | Sentence | denotes | People at high risk of acquiring COVID-19, as well as probable and confirmed cases, were identified and quarantined. |
T7 | 576-635 | Sentence | denotes | The government closed public venues and limited gatherings. |
T8 | 636-762 | Sentence | denotes | The Taizhou Health Commission shared information about identified COVID-19 patients and probable cases with affected agencies. |
T9 | 763-910 | Sentence | denotes | To timely track and manage close contacts of confirmed cases, Taizhou Center for Disease Control and Prevention did epidemiological investigations. |
T10 | 911-1067 | Sentence | denotes | Medical institutions or local centers for disease control and prevention reported confirmed cases to the national Center for Disease Control and Prevention. |
T11 | 1068-1082 | Sentence | denotes | Local setting: |
T12 | 1083-1314 | Sentence | denotes | Taizhou, a city in Zhejiang province with about 6 million residents, reported 18 confirmed COVID-2019 cases by 23 January 2020, which ranked it third globally in number of cases after Wuhan and Xiaogan cities in the Hubei province. |
T13 | 1315-1332 | Sentence | denotes | Relevant changes: |
T14 | 1333-1501 | Sentence | denotes | In total, 146 confirmed cases (85 cases imported and 61 cases through community transmission) and no deaths due to COVID-19 had been reported in Taizhou by 1 June 2020. |
T15 | 1502-1575 | Sentence | denotes | Between 16 February and 1 June 2020, no confirmed case had been reported. |
T16 | 1576-1590 | Sentence | denotes | Lesson learnt: |
T17 | 1591-1807 | Sentence | denotes | Identifying and managing imported cases and people at risk for infection, timely information sharing, limiting gatherings and ensuring collaborations between different agencies were important in controlling COVID-19. |