PMC:7078825 / 590-1213
Annnotations
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T4 | 4-28 | Disease | denotes | coronavirus disease 2019 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T5 | 30-38 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T3 | 141-142 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T4 | 185-186 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T5 | 256-268 | http://purl.obolibrary.org/obo/OBI_0000245 | denotes | Organization |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T6 | 0-164 | Sentence | denotes | The coronavirus disease 2019 (COVID-19) outbreak began in Wuhan, China, in late December 2019 and quickly spread to other cities in China in a matter of days [1,2]. |
T7 | 165-298 | Sentence | denotes | It was announced as a public health emergency of international concern by the World Health Organization (WHO) on 30 January 2020 [3]. |
T8 | 299-424 | Sentence | denotes | Predicting the development of the outbreak as early and as reliably as possible is critical for action to prevent its spread. |
T9 | 425-623 | Sentence | denotes | Internet searches and social media data have been reported to correlate with traditional surveillance data and can even predict the outbreak of disease epidemics several days or weeks earlier [4-9]. |
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
8 | 4-28 | Disease | denotes | coronavirus disease 2019 | MESH:C000657245 |
9 | 30-38 | Disease | denotes | COVID-19 | MESH:C000657245 |