PMC:7510993 / 4119-4635 JSONTXT

{"project":"LitCovid-PD-MONDO","denotations":[{"id":"T35","span":{"begin":17,"end":25},"obj":"Disease"},{"id":"T36","span":{"begin":181,"end":189},"obj":"Disease"},{"id":"T37","span":{"begin":258,"end":266},"obj":"Disease"}],"attributes":[{"id":"A35","pred":"mondo_id","subj":"T35","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"},{"id":"A36","pred":"mondo_id","subj":"T36","obj":"http://purl.obolibrary.org/obo/MONDO_0005091"},{"id":"A37","pred":"mondo_id","subj":"T37","obj":"http://purl.obolibrary.org/obo/MONDO_0100096"}],"text":"ber of confirmed COVID-19 cases from December 2019 through June 2020, as well as on country/region-specific variables, e.g. socioeconomic conditions and screening effort (number of SARS-CoV-2 PCR tests conducted), that could potentially affect the number of COVID-19 cases. Specifically, we explored the roles of climate, international mobility, and region-specific conditions in the disease expansion by controlling covariates. In this analysis, we evaluated the relative importance of climate (temperature and prec"}

{"project":"LitCovid-PD-CLO","denotations":[{"id":"T20","span":{"begin":196,"end":201},"obj":"http://purl.obolibrary.org/obo/UBERON_0000473"}],"text":"ber of confirmed COVID-19 cases from December 2019 through June 2020, as well as on country/region-specific variables, e.g. socioeconomic conditions and screening effort (number of SARS-CoV-2 PCR tests conducted), that could potentially affect the number of COVID-19 cases. Specifically, we explored the roles of climate, international mobility, and region-specific conditions in the disease expansion by controlling covariates. In this analysis, we evaluated the relative importance of climate (temperature and prec"}

{"project":"LitCovid-PubTator","denotations":[{"id":"91","span":{"begin":181,"end":191},"obj":"Species"},{"id":"96","span":{"begin":17,"end":25},"obj":"Disease"},{"id":"97","span":{"begin":258,"end":266},"obj":"Disease"}],"attributes":[{"id":"A91","pred":"tao:has_database_id","subj":"91","obj":"Tax:2697049"},{"id":"A96","pred":"tao:has_database_id","subj":"96","obj":"MESH:C000657245"},{"id":"A97","pred":"tao:has_database_id","subj":"97","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":"ber of confirmed COVID-19 cases from December 2019 through June 2020, as well as on country/region-specific variables, e.g. socioeconomic conditions and screening effort (number of SARS-CoV-2 PCR tests conducted), that could potentially affect the number of COVID-19 cases. Specifically, we explored the roles of climate, international mobility, and region-specific conditions in the disease expansion by controlling covariates. In this analysis, we evaluated the relative importance of climate (temperature and prec"}

{"project":"LitCovid-sentences","denotations":[{"id":"T24","span":{"begin":274,"end":428},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"ber of confirmed COVID-19 cases from December 2019 through June 2020, as well as on country/region-specific variables, e.g. socioeconomic conditions and screening effort (number of SARS-CoV-2 PCR tests conducted), that could potentially affect the number of COVID-19 cases. Specifically, we explored the roles of climate, international mobility, and region-specific conditions in the disease expansion by controlling covariates. In this analysis, we evaluated the relative importance of climate (temperature and prec"}