PMC:7510993 / 257-592 JSONTXT

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T5","span":{"begin":106,"end":114},"obj":"Disease"},{"id":"T6","span":{"begin":156,"end":163},"obj":"Disease"}],"attributes":[{"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"}],"text":"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 CO"}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T1","span":{"begin":233,"end":238},"obj":"http://purl.obolibrary.org/obo/NCBITaxon_9606"}],"text":"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 CO"}

{"project":"LitCovid-PD-CHEBI","denotations":[{"id":"T1","span":{"begin":131,"end":134},"obj":"Chemical"}],"attributes":[{"id":"A1","pred":"chebi_id","subj":"T1","obj":"http://purl.obolibrary.org/obo/CHEBI_41001"}],"text":"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 CO"}

{"project":"LitCovid-PubTator","denotations":[{"id":"23","span":{"begin":233,"end":238},"obj":"Species"},{"id":"26","span":{"begin":131,"end":134},"obj":"Species"},{"id":"29","span":{"begin":106,"end":114},"obj":"Disease"},{"id":"30","span":{"begin":156,"end":163},"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":"A29","pred":"tao:has_database_id","subj":"29","obj":"MESH:C000657245"},{"id":"A30","pred":"tao:has_database_id","subj":"30","obj":"MESH:D008288"}],"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":"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 CO"}