PMC:7110798 / 998-1419
Annnotations
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
18 | 105-114 | Species | denotes | 2019-nCoV | Tax:2697049 |
19 | 342-362 | Disease | denotes | coronavirus diseases | MESH:D018352 |
20 | 364-368 | Disease | denotes | MERS | MESH:D018352 |
21 | 373-377 | Disease | denotes | SARS | MESH:D045169 |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T3 | 373-377 | Disease | denotes | SARS | http://purl.obolibrary.org/obo/MONDO_0005091 |
LitCovid-PD-CHEBI
Id | Subject | Object | Predicate | Lexical cue | chebi_id |
---|---|---|---|---|---|
T1 | 314-316 | Chemical | denotes | SI | http://purl.obolibrary.org/obo/CHEBI_90326 |
T2 | 418-420 | Chemical | denotes | SI | http://purl.obolibrary.org/obo/CHEBI_90326 |
LitCovid-PD-GO-BP
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T5 | 213-219 | http://purl.obolibrary.org/obo/GO_0040007 | denotes | growth |
T6 | 250-256 | http://purl.obolibrary.org/obo/GO_0040007 | denotes | growth |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T13 | 0-220 | Sentence | denotes | Accounting for the impact of the variations in disease reporting rate, we modelled the epidemic curve of 2019-nCoV cases time series, in mainland China from January 10 to January 24, 2020, through the exponential growth. |
T14 | 221-421 | Sentence | denotes | With the estimated intrinsic growth rate (γ), we estimated R0 by using the serial intervals (SI) of two other well-known coronavirus diseases, MERS and SARS, as approximations for the true unknown SI. |