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PMC:7510993 / 155-2003 JSONTXT

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LitCovid-PD-MONDO

Id Subject Object Predicate Lexical cue mondo_id
T3 51-75 Disease denotes coronavirus disease 2019 http://purl.obolibrary.org/obo/MONDO_0100096
T4 77-85 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T5 208-216 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T6 258-265 Disease denotes malaria http://purl.obolibrary.org/obo/MONDO_0005136
T7 435-443 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T8 621-629 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T9 693-701 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T10 750-758 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T11 801-803 Disease denotes R2 http://purl.obolibrary.org/obo/MONDO_0019903
T12 910-918 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T13 956-964 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T14 1072-1080 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T15 1235-1243 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T16 1433-1441 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T17 1552-1560 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T18 1629-1637 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T19 1690-1698 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096
T20 1749-1757 Disease denotes COVID-19 http://purl.obolibrary.org/obo/MONDO_0100096

LitCovid-PD-CLO

Id Subject Object Predicate Lexical cue
T1 335-340 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T2 1276-1281 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T3 1516-1521 http://purl.obolibrary.org/obo/NCBITaxon_9606 denotes human
T4 1719-1720 http://purl.obolibrary.org/obo/CLO_0001020 denotes a

LitCovid-PD-CHEBI

Id Subject Object Predicate Lexical cue chebi_id
T1 233-236 Chemical denotes BCG http://purl.obolibrary.org/obo/CHEBI_41001

LitCovid-PubTator

Id Subject Object Predicate Lexical cue tao:has_database_id
23 335-340 Species denotes human Tax:9606
24 1276-1281 Species denotes human Tax:9606
25 1516-1521 Species denotes human Tax:9606
26 233-236 Species denotes BCG Tax:33892
27 51-75 Disease denotes coronavirus disease 2019 MESH:C000657245
28 77-85 Disease denotes COVID-19 MESH:C000657245
29 208-216 Disease denotes COVID-19 MESH:C000657245
30 258-265 Disease denotes malaria MESH:D008288
31 435-443 Disease denotes COVID-19 MESH:C000657245
32 621-629 Disease denotes COVID-19 MESH:C000657245
33 693-701 Disease denotes COVID-19 MESH:C000657245
34 750-758 Disease denotes COVID-19 MESH:C000657245
35 910-918 Disease denotes COVID-19 MESH:C000657245
36 956-964 Disease denotes COVID-19 MESH:C000657245
37 1072-1080 Disease denotes COVID-19 MESH:C000657245
38 1235-1243 Disease denotes COVID-19 MESH:C000657245
39 1433-1441 Disease denotes COVID-19 MESH:C000657245
40 1552-1560 Disease denotes COVID-19 MESH:C000657245
41 1629-1637 Disease denotes COVID-19 MESH:C000657245
42 1690-1698 Disease denotes COVID-19 MESH:C000657245
43 1749-1757 Disease denotes COVID-19 MESH:C000657245

LitCovid-sentences

Id Subject Object Predicate Lexical cue
T5 0-119 Sentence denotes Following its initial appearance in December 2019, coronavirus disease 2019 (COVID-19) quickly spread around the globe.
T6 120-636 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 637-742 Sentence denotes Our regression model adequately explains the cumulative COVID-19 case numbers (per 1 million population).
T8 743-858 Sentence denotes As the COVID-19 spread progressed, the explanatory power (R2) of the model increased, reaching > 70% in April 2020.
T9 859-1120 Sentence denotes Climate, host mobility, and host susceptibility to COVID-19 largely explained the variance among COVID-19 case numbers across locations; the relative importance of host mobility and that of host susceptibility to COVID-19 were both greater than that of climate.
T10 1121-1398 Sentence denotes Notably, the relative importance of these factors changed over time; the number of days from outbreak onset drove COVID-19 spread in the early stage, then human mobility accelerated the pandemic, and lastly climate (temperature) propelled the phase following disease expansion.
T11 1399-1576 Sentence denotes Our findings demonstrate that the COVID-19 pandemic is deterministically driven by climate suitability, cross-border human mobility, and region-specific COVID-19 susceptibility.
T12 1577-1848 Sentence denotes The identification of these multiple drivers of the COVID-19 outbreak trajectory, based on mapping the spread of COVID-19, will contribute to a better understanding of the COVID-19 disease transmission risk and inform long-term preventative measures against this disease.