PMC:7510993 / 109-929
Annnotations
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T2 | 20-28 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T3 | 97-121 | Disease | denotes | coronavirus disease 2019 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T4 | 123-131 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T5 | 254-262 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T6 | 304-311 | Disease | denotes | malaria | http://purl.obolibrary.org/obo/MONDO_0005136 |
| T7 | 481-489 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T8 | 667-675 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T9 | 739-747 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T10 | 796-804 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T1 | 381-386 | http://purl.obolibrary.org/obo/NCBITaxon_9606 | denotes | human |
LitCovid-PD-CHEBI
| Id | Subject | Object | Predicate | Lexical cue | chebi_id |
|---|---|---|---|---|---|
| T1 | 279-282 | Chemical | denotes | BCG | http://purl.obolibrary.org/obo/CHEBI_41001 |
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 23 | 381-386 | Species | denotes | human | Tax:9606 |
| 26 | 279-282 | Species | denotes | BCG | Tax:33892 |
| 27 | 97-121 | Disease | denotes | coronavirus disease 2019 | MESH:C000657245 |
| 28 | 123-131 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 29 | 254-262 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 30 | 304-311 | Disease | denotes | malaria | MESH:D008288 |
| 31 | 481-489 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 32 | 667-675 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 33 | 739-747 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 34 | 796-804 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T3 | 9-35 | Sentence | denotes | Drivers of COVID-19 spread |
| T4 | 37-45 | Sentence | denotes | Abstract |
| T5 | 46-165 | Sentence | denotes | Following its initial appearance in December 2019, coronavirus disease 2019 (COVID-19) quickly spread around the globe. |
| T6 | 166-682 | Sentence | denotes | Here, we evaluated the role of climate (temperature and precipitation), region-specific COVID-19 susceptibility (BCG vaccination factors, malaria incidence, and percentage of the population aged over 65 years), and human mobility (relative amounts of international visitors) in shaping the geographical patterns of COVID-19 case numbers across 1,020 countries/regions, and examined the sequential shift that occurred from December 2019 to June 30, 2020 in multiple drivers of the cumulative number of COVID-19 cases. |
| T7 | 683-788 | Sentence | denotes | Our regression model adequately explains the cumulative COVID-19 case numbers (per 1 million population). |