PMC:7786642 / 1250-1559 JSONTXT

{"project":"LitCovid-PubTator","denotations":[{"id":"24","span":{"begin":264,"end":267},"obj":"Chemical"},{"id":"32","span":{"begin":210,"end":218},"obj":"Disease"},{"id":"33","span":{"begin":219,"end":228},"obj":"Disease"}],"attributes":[{"id":"A32","pred":"tao:has_database_id","subj":"32","obj":"MESH:C000657245"},{"id":"A33","pred":"tao:has_database_id","subj":"33","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":" to quantify the effect of air-pollution while adjusting for a series of confounding and spatial autocorrelation. We find a 0.5% (95% credible interval: −0.2%, 1.2%) and 1.4% (95% CrI: −2.1%, 5.1%) increase in COVID-19 mortality risk for every 1 μg/m3 increase in NO2 and PM2.5 respectively, after adjusting f"}