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. |