
PMC:7074654 / 5608-6022
Annnotations
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
51 | 126-130 | Disease | denotes | SARS | MESH:D045169 |
52 | 211-215 | Disease | denotes | SARS | MESH:D045169 |
53 | 286-294 | Disease | denotes | zoonotic | MESH:D015047 |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T22 | 126-130 | Disease | denotes | SARS | http://purl.obolibrary.org/obo/MONDO_0005091 |
T23 | 211-215 | Disease | denotes | SARS | http://purl.obolibrary.org/obo/MONDO_0005091 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T18 | 29-31 | http://purl.obolibrary.org/obo/CLO_0050510 | denotes | 18 |
T19 | 209-210 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T28 | 0-414 | Sentence | denotes | Imai (2020)8 Wuhan January 18, 2020 Mathematical model, computational modelling of potential epidemic trajectories Assume SARS-like levels of case-to-case variability in the numbers of secondary cases and a SARS-like generation time with 8.4 days, and set number of cases caused by zoonotic exposure and assumed total number of cases to estimate R0 values for best-case, median and worst-case 1.5–3.5 (2.5) / |