A risk-based model to assess environmental justice and coronary heart disease burden from traffic-related air pollutants.

ABSTRACT: BACKGROUND:Communities need to efficiently estimate the burden from specific pollutants and identify those most at risk to make timely informed policy decisions. We developed a risk-based model to estimate the burden of black carbon (BC) and nitrogen dioxide (NO2) on coronary heart disease (CHD) across environmental justice (EJ) and non-EJ populations in Allegheny County, PA. METHODS:Exposure estimates in census tracts were modeled via land use regression and analyzed in relation to US Census data. Tracts were ranked into quartiles of exposure (Q1-Q4). A risk-based model for estimating the CHD burden attributed to BC and NO2 was developed using county health statistics, census tract level exposure estimates, and quantitative effect estimates available in the literature. RESULTS:For both po

SUBMITTER: Fabisiak JP 

PROVIDER: S-EPMC7075037 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature