{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kelly JT"],"funding":["U.S. Environmental Protection Agency","Intramural EPA"],"pagination":["110432"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8102649"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["196"],"pubmed_abstract":["Epidemiologic studies have found associations between fine particulate matter (PM<sub>2.5</sub>) exposure and adverse health effects using exposure models that incorporate monitoring data and other relevant information. Here, we use nine PM<sub>2.5</sub> concentration models (i.e., exposure models) that span a wide range of methods to investigate i) PM<sub>2.5</sub> concentrations in 2011, ii) potential changes in PM<sub>2.5</sub> concentrations between 2011 and 2028 due to on-the-books regulations, and iii) PM<sub>2.5</sub> exposure for the U.S. population and four racial/ethnic groups. The exposure models included two geophysical chemical transport models (CTMs), two interpolation methods, a satellite-derived aerosol optical depth-based method, a Bayesian statistical regression model, an"],"journal":["Environmental research"],"pubmed_title":["Examining PM<sub>2.5</sub> concentrations and exposure using multiple models."],"pmcid":["PMC8102649"],"funding_grant_id":["EPA999999"],"pubmed_authors":["Liu Y","Jang C","Martin RV","Bell ML","Timin B","Di Q","van Donkelaar A","Kelly JT","Schwartz J","Berrocal V"],"additional_accession":[]},"is_claimable":false,"name":"Examining PM<sub>2.5</sub> concentrations and exposure using multiple models.","description":"Epidemiologic studies have found associations between fine particulate matter (PM<sub>2.5</sub>) exposure and adverse health effects using exposure models that incorporate monitoring data and other relevant information. Here, we use nine PM<sub>2.5</sub> concentration models (i.e., exposure models) that span a wide range of methods to investigate i) PM<sub>2.5</sub> concentrations in 2011, ii) potential changes in PM<sub>2.5</sub> concentrations between 2011 and 2028 due to on-the-books regulations, and iii) PM<sub>2.5</sub> exposure for the U.S. population and four racial/ethnic groups. The exposure models included two geophysical chemical transport models (CTMs), two interpolation methods, a satellite-derived aerosol optical depth-based method, a Bayesian statistical regression model, an","dates":{"release":"2021-01-01T00:00:00Z","publication":"2021 May","modification":"2025-04-27T01:39:05.429Z","creation":"2025-04-06T18:20:34.699Z"},"accession":"S-EPMC8102649","cross_references":{"pubmed":["33166538"],"doi":["10.1016/j.envres.2020.110432"]}}