
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. |