PMC:7510993 / 109-929 JSONTXT

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T2","span":{"begin":20,"end":28},"obj":"Disease"},{"id":"T3","span":{"begin":97,"end":121},"obj":"Disease"},{"id":"T4","span":{"begin":123,"end":131},"obj":"Disease"},{"id":"T5","span":{"begin":254,"end":262},"obj":"Disease"},{"id":"T6","span":{"begin":304,"end":311},"obj":"Disease"},{"id":"T7","span":{"begin":481,"end":489},"obj":"Disease"},{"id":"T8","span":{"begin":667,"end":675},"obj":"Disease"},{"id":"T9","span":{"begin":739,"end":747},"obj":"Disease"},{"id":"T10","span":{"begin":796,"end":804},"obj":"Disease"}],"attributes":[{"id":"A2","pred":"mondo_id","subj":"T2","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A3","pred":"mondo_id","subj":"T3","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A4","pred":"mondo_id","subj":"T4","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A5","pred":"mondo_id","subj":"T5","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A6","pred":"mondo_id","subj":"T6","obj":"http://purl.obolibrary.org/obo/MONDO_0005136"},{"id":"A7","pred":"mondo_id","subj":"T7","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A8","pred":"mondo_id","subj":"T8","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A9","pred":"mondo_id","subj":"T9","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A10","pred":"mondo_id","subj":"T10","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"nditions\nDrivers of COVID-19 spread\n\nAbstract\nFollowing its initial appearance in December 2019, coronavirus disease 2019 (COVID-19) quickly spread around the globe. 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. Our regression model adequately explains the cumulative COVID-19 case numbers (per 1 million population). As the COVID-19 spread progress"}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T1","span":{"begin":381,"end":386},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_9606"}],"text":"nditions\nDrivers of COVID-19 spread\n\nAbstract\nFollowing its initial appearance in December 2019, coronavirus disease 2019 (COVID-19) quickly spread around the globe. 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. Our regression model adequately explains the cumulative COVID-19 case numbers (per 1 million population). As the COVID-19 spread progress"}

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T1","span":{"begin":279,"end":282},"obj":"Chemical"}],"attributes":[{"id":"A1","pred":"chebi_id","subj":"T1","obj":"http://purl.obolibrary.org/obo/CHEBI_41001"}],"text":"nditions\nDrivers of COVID-19 spread\n\nAbstract\nFollowing its initial appearance in December 2019, coronavirus disease 2019 (COVID-19) quickly spread around the globe. 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. Our regression model adequately explains the cumulative COVID-19 case numbers (per 1 million population). As the COVID-19 spread progress"}

{"project":"LitCovid-PubTator","denotations":[{"id":"23","span":{"begin":381,"end":386},"obj":"Species"},{"id":"26","span":{"begin":279,"end":282},"obj":"Species"},{"id":"27","span":{"begin":97,"end":121},"obj":"Disease"},{"id":"28","span":{"begin":123,"end":131},"obj":"Disease"},{"id":"29","span":{"begin":254,"end":262},"obj":"Disease"},{"id":"30","span":{"begin":304,"end":311},"obj":"Disease"},{"id":"31","span":{"begin":481,"end":489},"obj":"Disease"},{"id":"32","span":{"begin":667,"end":675},"obj":"Disease"},{"id":"33","span":{"begin":739,"end":747},"obj":"Disease"},{"id":"34","span":{"begin":796,"end":804},"obj":"Disease"}],"attributes":[{"id":"A23","pred":"tao:has_database_id","subj":"23","obj":"Tax:9606"},{"id":"A26","pred":"tao:has_database_id","subj":"26","obj":"Tax:33892"},{"id":"A27","pred":"tao:has_database_id","subj":"27","obj":"MESH:C000657245"},{"id":"A28","pred":"tao:has_database_id","subj":"28","obj":"MESH:C000657245"},{"id":"A29","pred":"tao:has_database_id","subj":"29","obj":"MESH:C000657245"},{"id":"A30","pred":"tao:has_database_id","subj":"30","obj":"MESH:D008288"},{"id":"A31","pred":"tao:has_database_id","subj":"31","obj":"MESH:C000657245"},{"id":"A32","pred":"tao:has_database_id","subj":"32","obj":"MESH:C000657245"},{"id":"A33","pred":"tao:has_database_id","subj":"33","obj":"MESH:C000657245"},{"id":"A34","pred":"tao:has_database_id","subj":"34","obj":"MESH:C000657245"}],"namespaces":[{"prefix":"Tax","uri":"https://www.ncbi.nlm.nih.gov/taxonomy/"},{"prefix":"MESH","uri":"https://id.nlm.nih.gov/mesh/"},{"prefix":"Gene","uri":"https://www.ncbi.nlm.nih.gov/gene/"},{"prefix":"CVCL","uri":"https://web.expasy.org/cellosaurus/CVCL_"}],"text":"nditions\nDrivers of COVID-19 spread\n\nAbstract\nFollowing its initial appearance in December 2019, coronavirus disease 2019 (COVID-19) quickly spread around the globe. 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. Our regression model adequately explains the cumulative COVID-19 case numbers (per 1 million population). As the COVID-19 spread progress"}

{"project":"LitCovid-sentences","denotations":[{"id":"T3","span":{"begin":9,"end":35},"obj":"Sentence"},{"id":"T4","span":{"begin":37,"end":45},"obj":"Sentence"},{"id":"T5","span":{"begin":46,"end":165},"obj":"Sentence"},{"id":"T6","span":{"begin":166,"end":682},"obj":"Sentence"},{"id":"T7","span":{"begin":683,"end":788},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"nditions\nDrivers of COVID-19 spread\n\nAbstract\nFollowing its initial appearance in December 2019, coronavirus disease 2019 (COVID-19) quickly spread around the globe. 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. Our regression model adequately explains the cumulative COVID-19 case numbers (per 1 million population). As the COVID-19 spread progress"}