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PMC:7510993 / 275-791 JSONTXT

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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T5 88-96 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T6 138-145 Disease denotes malaria http://purl.obolibrary.org/obo/MONDO_0005136
T7 315-323 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 501-509 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 215-220 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 113-116 Chemical denotes BCG http://purl.obolibrary.org/obo/CHEBI_41001

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
23 215-220 Species denotes human Tax:9606
26 113-116 Species denotes BCG Tax:33892
29 88-96 Disease denotes COVID-19 MESH:C000657245
30 138-145 Disease denotes malaria MESH:D008288
31 315-323 Disease denotes COVID-19 MESH:C000657245
32 501-509 Disease denotes COVID-19 MESH:C000657245

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T6 0-516 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.