PMC:7510993 / 26501-27587
Annnotations
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T151 | 15-23 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T152 | 111-119 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T153 | 224-232 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T154 | 299-307 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T155 | 402-410 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T156 | 475-483 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T157 | 567-575 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T158 | 642-650 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T159 | 749-757 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T160 | 822-830 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T123 | 178-179 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | A |
| T124 | 200-201 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T125 | 345-346 | http://purl.obolibrary.org/obo/CLO_0001021 | denotes | B |
| T126 | 543-544 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T127 | 937-943 | http://purl.obolibrary.org/obo/UBERON_0000473 | denotes | tested |
| T128 | 947-948 | http://purl.obolibrary.org/obo/CLO_0001020 | denotes | a |
| T129 | 982-986 | http://purl.obolibrary.org/obo/UBERON_0000473 | denotes | test |
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 399 | 15-23 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 409 | 111-119 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 410 | 224-232 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 411 | 299-307 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 412 | 402-410 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 413 | 475-483 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 414 | 567-575 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 415 | 642-650 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 416 | 749-757 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 417 | 822-830 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T134 | 65-172 | Sentence | denotes | Country types were defined by the patterns of COVID-19 spread (cases per 1 million population) (see Fig 3). |
| T135 | 173-862 | Sentence | denotes | 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; 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; 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; and 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. |
| T136 | 863-987 | Sentence | denotes | The statistical significance of differences between the country types was tested by a Bonferroni’s multiple comparison test. |
| T137 | 988-1086 | Sentence | denotes | Different letters indicate the values that are significantly different (p < 0.05) from each other. |