PMC:7534043 / 617-882
Annnotations
LitCovid-PD-CLO
{"project":"LitCovid-PD-CLO","denotations":[{"id":"T2","span":{"begin":116,"end":117},"obj":"http://purl.obolibrary.org/obo/CLO_0001020"}],"text":" Ministry of Health in China.\n\nResults\nWe observed that the number of recovered cases per day increased by 39.36 as a result of this policy. GDP per capita and land area were significantly negatively correlated with the number of recovered cases while the resident "}
LitCovid-PubTator
{"project":"LitCovid-PubTator","denotations":[{"id":"7","span":{"begin":141,"end":144},"obj":"Chemical"}],"attributes":[{"id":"A7","pred":"tao:has_database_id","subj":"7","obj":"MESH:D006153"}],"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":" Ministry of Health in China.\n\nResults\nWe observed that the number of recovered cases per day increased by 39.36 as a result of this policy. GDP per capita and land area were significantly negatively correlated with the number of recovered cases while the resident "}
LitCovid-sentences
{"project":"LitCovid-sentences","denotations":[{"id":"T12","span":{"begin":31,"end":38},"obj":"Sentence"},{"id":"T13","span":{"begin":39,"end":140},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":" Ministry of Health in China.\n\nResults\nWe observed that the number of recovered cases per day increased by 39.36 as a result of this policy. GDP per capita and land area were significantly negatively correlated with the number of recovered cases while the resident "}