PMC:7510993 / 4548-5059
Annnotations
LitCovid-PD-MONDO
| Id | Subject | Object | Predicate | Lexical cue | mondo_id |
|---|---|---|---|---|---|
| T38 | 133-141 | Disease | denotes | SARS-CoV | http://purl.obolibrary.org/obo/MONDO_0005091 |
| T39 | 162-170 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T40 | 212-219 | Disease | denotes | malaria | http://purl.obolibrary.org/obo/MONDO_0005136 |
| T41 | 377-385 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
| T42 | 478-486 | Disease | denotes | COVID-19 | http://purl.obolibrary.org/obo/MONDO_0100096 |
LitCovid-PD-CLO
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T21 | 392-397 | http://purl.obolibrary.org/obo/NCBITaxon_9606 | denotes | human |
LitCovid-PD-CHEBI
| Id | Subject | Object | Predicate | Lexical cue | chebi_id |
|---|---|---|---|---|---|
| T2 | 187-190 | Chemical | denotes | BCG | http://purl.obolibrary.org/obo/CHEBI_41001 |
LitCovid-PubTator
| Id | Subject | Object | Predicate | Lexical cue | tao:has_database_id |
|---|---|---|---|---|---|
| 92 | 133-143 | Species | denotes | SARS-CoV-2 | Tax:2697049 |
| 93 | 392-397 | Species | denotes | human | Tax:9606 |
| 94 | 187-190 | Species | denotes | BCG | Tax:33892 |
| 98 | 162-170 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 99 | 212-219 | Disease | denotes | malaria | MESH:D008288 |
| 100 | 377-385 | Disease | denotes | COVID-19 | MESH:C000657245 |
| 101 | 478-486 | Disease | denotes | COVID-19 | MESH:C000657245 |
LitCovid-sentences
| Id | Subject | Object | Predicate | Lexical cue |
|---|---|---|---|---|
| T25 | 0-511 | Sentence | denotes | In this analysis, we evaluated the relative importance of climate (temperature and precipitation relevant to habitat suitability for SARS-CoV-2), region-specific COVID-19 susceptibility (BCG vaccination factors, malaria incidence, and the relative proportion of citizens aged over 65 years in the population, as these were hypothesized to be linked with host susceptibility to COVID-19), and human mobility (international travel) in shaping the current geographical patterns of COVID-19 spread around the world. |