
PMC:7510993 / 16199-16925
Annnotations
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T91 | 13-21 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T92 | 157-165 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T93 | 387-395 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T94 | 458-466 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T95 | 665-673 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T75 | 622-627 | http://purl.obolibrary.org/obo/NCBITaxon_9606 | denotes | human |
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
238 | 622-627 | Species | denotes | human | Tax:9606 |
239 | 13-21 | Disease | denotes | COVID-19 | MESH:C000657245 |
240 | 157-165 | Disease | denotes | COVID-19 | MESH:C000657245 |
241 | 387-395 | Disease | denotes | COVID-19 | MESH:C000657245 |
242 | 458-466 | Disease | denotes | COVID-19 | MESH:C000657245 |
243 | 665-673 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-PD-GO-BP
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T3 | 126-132 | http://purl.obolibrary.org/obo/GO_0040007 | denotes | growth |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T82 | 0-405 | Sentence | denotes | Although the COVID-19 case numbers may not be suitable for conducting epidemiological analyses, such as modelling the disease growth dynamics, the available COVID-19 case data can be still informative for the implementation of containment and/or suppression measures because the number of the confirmed cases is directly linked to the consumption of medical resources for combatting the COVID-19 pandemic. |
T83 | 406-726 | Sentence | denotes | Here, we observed that the cumulative number of the COVID-19 cases (per 1 million population) according to the disease spread progression was significantly correlated with variables related to climate, international human mobility, and host susceptibility to COVID-19, at successive periods since December, 2019 (Fig 4). |