biostudies-literatureKelly JTU.S. Environmental Protection AgencyIntramural EPA110432https://www.ebi.ac.uk/biostudies/studies/S-EPMC8102649biostudies-literatureUnknown196Epidemiologic studies have found associations between fine particulate matter (PM_2.5) exposure and adverse health effects using exposure models that incorporate monitoring data and other relevant information. Here, we use nine PM_2.5 concentration models (i.e., exposure models) that span a wide range of methods to investigate i) PM_2.5 concentrations in 2011, ii) potential changes in PM_2.5 concentrations between 2011 and 2028 due to on-the-books regulations, and iii) PM_2.5 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, anEnvironmental researchExamining PM_2.5 concentrations and exposure using multiple models.PMC8102649EPA999999Liu YJang CMartin RVBell MLTimin BDi Qvan Donkelaar AKelly JTSchwartz JBerrocal VfalseExamining PM_2.5 concentrations and exposure using multiple models.Epidemiologic studies have found associations between fine particulate matter (PM_2.5) exposure and adverse health effects using exposure models that incorporate monitoring data and other relevant information. Here, we use nine PM_2.5 concentration models (i.e., exposure models) that span a wide range of methods to investigate i) PM_2.5 concentrations in 2011, ii) potential changes in PM_2.5 concentrations between 2011 and 2028 due to on-the-books regulations, and iii) PM_2.5 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, an2021-01-01T00:00:00Z2021 May2025-04-27T01:39:05.429Z2025-04-06T18:20:34.699ZS-EPMC81026493316653810.1016/j.envres.2020.110432