PMC:7510993 / 9489-9897
Annnotations
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T60 | 147-155 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
T61 | 232-240 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T33 | 171-176 | http://purl.obolibrary.org/obo/NCBITaxon_9606 | denotes | human |
T34 | 378-379 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
170 | 171-176 | Species | denotes | human | Tax:9606 |
171 | 147-155 | Disease | denotes | COVID-19 | MESH:C000657245 |
172 | 232-240 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-PD-GO-BP
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T2 | 388-396 | http://purl.obolibrary.org/obo/GO_0007612 | denotes | learning |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T47 | 0-408 | Sentence | denotes | To ensure the robustness of our results, we investigated the relationship between various environmental variables (climate, host susceptibility to COVID-19, international human mobility, and socioeconomic factors) and the number of COVID-19 cases (per 1 million population) using the two different approaches: conventional multiple linear regression and random forest, which is a machine-learning model [15]. |