
PMC:7510993 / 5790-6382
Annnotations
LitCovid-PD-FMA-UBERON
Id | Subject | Object | Predicate | Lexical cue | fma_id |
---|---|---|---|---|---|
T2 | 551-556 | Body_part | denotes | cells | http://purl.org/sig/ont/fma/fma68646 |
LitCovid-PD-MONDO
Id | Subject | Object | Predicate | Lexical cue | mondo_id |
---|---|---|---|---|---|
T49 | 94-102 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T27 | 514-515 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
T28 | 551-556 | http://purl.obolibrary.org/obo/GO_0005623 | denotes | cells |
T29 | 572-573 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-PubTator
Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
---|---|---|---|---|---|
115 | 94-102 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-sentences
Id | Subject | Object | Predicate | Lexical cue |
---|---|---|---|---|
T32 | 0-72 | Sentence | denotes | For each country or region, we compiled several environmental variables. |
T33 | 73-256 | Sentence | denotes | For mapping cases of COVID-19, the longitude and latitude of the largest city and area for each country or region were extracted from GADM maps and data (https://gadm.org/index.html). |
T34 | 257-592 | Sentence | denotes | Based on the geocoordinates of the cities, we collected the climatic data of mean precipitation (mm month–1) and temperature (°C) from January to June (WorldClim) using WorldClim version 2.1 climate data (https://www.worldclim.org/data/worldclim21.html) at a resolution of 2.5 arc-minutes grid cells that contained a country or region. |