PMC:7796148 / 17081-17270 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"216","span":{"begin":82,"end":85},"obj":"Gene"},{"id":"225","span":{"begin":165,"end":173},"obj":"Disease"}],"attributes":[{"id":"A216","pred":"tao:has_database_id","subj":"216","obj":"Gene:2571"},{"id":"A225","pred":"tao:has_database_id","subj":"225","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":"In Model 2 the covariates (age, gender, income, pre-existing health problems, and GAD) were included as predictors, with the addition of Italian region mourning for COVID-19 losses factors."}

{"project":"LitCovid-sentences","denotations":[{"id":"T147","span":{"begin":0,"end":189},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"In Model 2 the covariates (age, gender, income, pre-existing health problems, and GAD) were included as predictors, with the addition of Italian region mourning for COVID-19 losses factors."}