PMC:7786642 / 14114-14887 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"136","span":{"begin":418,"end":427},"obj":"Disease"},{"id":"137","span":{"begin":620,"end":629},"obj":"Disease"}],"attributes":[{"id":"A136","pred":"tao:has_database_id","subj":"136","obj":"MESH:D003643"},{"id":"A137","pred":"tao:has_database_id","subj":"137","obj":"MESH:D003643"}],"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 order to propagate the uncertainty resulted from the sampling we used for the downscaling, we fitted the models over 100 downscaled samples and then performed Bayesian model averaging to combine the estimates (Gómez-Rubio et al. 2020). We performed a complete case analysis since for only 1.1% of the cases information about age, sex and ethnicity is missing. We report results as posterior median of % increase in mortality risk for every 1 μg/m3 increase in the air-pollutants, 95% credible intervals (CrI) and posterior probability that the estimated effect is positive. We also report posterior median of spatial mortality relative risks (exponential of the spatial autocorrelation term) and posterior probabilities that the spatial relative risks are larger than 1."}

{"project":"LitCovid-sentences","denotations":[{"id":"T112","span":{"begin":0,"end":231},"obj":"Sentence"},{"id":"T113","span":{"begin":232,"end":238},"obj":"Sentence"},{"id":"T114","span":{"begin":239,"end":362},"obj":"Sentence"},{"id":"T115","span":{"begin":363,"end":576},"obj":"Sentence"},{"id":"T116","span":{"begin":577,"end":773},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"In order to propagate the uncertainty resulted from the sampling we used for the downscaling, we fitted the models over 100 downscaled samples and then performed Bayesian model averaging to combine the estimates (Gómez-Rubio et al. 2020). We performed a complete case analysis since for only 1.1% of the cases information about age, sex and ethnicity is missing. We report results as posterior median of % increase in mortality risk for every 1 μg/m3 increase in the air-pollutants, 95% credible intervals (CrI) and posterior probability that the estimated effect is positive. We also report posterior median of spatial mortality relative risks (exponential of the spatial autocorrelation term) and posterior probabilities that the spatial relative risks are larger than 1."}