PMC:7510993 / 15160-16198
Annnotations
LitCovid-PD-FMA-UBERON
| Id | Subject | Object | Predicate | Lexical cue | fma_id |
|---|---|---|---|---|---|
| T6 | 941-944 | Body_part | denotes | map | http://purl.org/sig/ont/fma/fma67847 |
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T82 | 45-53 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T83 | 290-298 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T84 | 365-373 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T85 | 472-480 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T86 | 545-553 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T87 | 641-649 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T88 | 716-724 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T89 | 823-831 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T90 | 896-904 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T67 | 229-230 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
| T68 | 231-237 | http://www.ebi.ac.uk/efo/EFO_0000265 | denotes | D): (A |
| T69 | 244-245 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
| T70 | 266-267 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T71 | 407-408 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | B |
| T72 | 415-416 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | B |
| T73 | 617-618 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T74 | 989-990 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 215 | 45-53 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 224 | 290-298 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 225 | 365-373 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 226 | 472-480 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 227 | 545-553 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 228 | 641-649 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 229 | 716-724 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 230 | 823-831 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 231 | 896-904 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T79 | 0-115 | Sentence | denotes | Fig 3 Patterns for the cumulative number of COVID-19 cases (per 1 million population) in relation to country type. |
| T80 | 116-936 | 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 | 937-1038 | Sentence | denotes | The map was prepared using shapefile reprinted from a freely available database (GADM; www.gadm.org). |