PMC:7510993 / 15167-16198
Annnotations
LitCovid-PD-FMA-UBERON
| Id | Subject | Object | Predicate | Lexical cue | fma_id |
|---|---|---|---|---|---|
| T6 | 934-937 | Body_part | denotes | map | http://purl.org/sig/ont/fma/fma67847 |
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T82 | 38-46 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T83 | 283-291 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T84 | 358-366 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T85 | 465-473 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T86 | 538-546 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T87 | 634-642 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T88 | 709-717 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T89 | 816-824 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T90 | 889-897 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T67 | 222-223 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
| T68 | 224-230 | http://www.ebi.ac.uk/efo/EFO_0000265 | denotes | D): (A |
| T69 | 237-238 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
| T70 | 259-260 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T71 | 400-401 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | B |
| T72 | 408-409 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | B |
| T73 | 610-611 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T74 | 982-983 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 215 | 38-46 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 224 | 283-291 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 225 | 358-366 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 226 | 465-473 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 227 | 538-546 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 228 | 634-642 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 229 | 709-717 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 230 | 816-824 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 231 | 889-897 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T80 | 109-929 | Sentence | denotes | Based on the pattern of increasing COFVID-19 case numbers, individual countries were classified into four types (A–D): (A) Type A, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had more than 1,000 COVID-19 cases per 1 million population; (B) type B, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had more than 1,000 COVID-19 cases per 1 million population; (C) type C, countries that had a peak in the number of COVID-19 cases per week before the middle of April and had less than 1,000 COVID-19 cases per 1 million population; (D) type D, countries that exhibited an increase in the number of COVID-19 cases per week after the middle of June and had less than 1,000 COVID-19 cases per 1 million population. |
| T81 | 930-1031 | Sentence | denotes | The map was prepared using shapefile reprinted from a freely available database (GADM; www.gadm.org). |