PMC:7029449 / 13900-14228
Annnotations
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
191 | 307-327 | Disease | denotes | 2019-nCoV infections | MESH:C000657245 |
LitCovid-PMC-OGER-BB
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T77 | 307-316 | SP_7 | denotes | 2019-nCoV |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T50 | 307-327 | Disease | denotes | 2019-nCoV infections | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T55 | 207-208 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T78 | 0-328 | Sentence | denotes | Predict the most effective measures to reduce the peak burden on healthcare providers and other societal functions Modelling studies incorporating healthcare capacity and processes In conclusion, there are a number of urgent research priorities to inform the public health response to the global spread of 2019-nCoV infections. |