Global Effect Factors for Exposure to Fine Particulate Matter.

ABSTRACT: We evaluate fine particulate matter (PM_2.5) exposure-response models to propose a consistent set of global effect factors for product and policy assessments across spatial scales and across urban and rural environments. Relationships among exposure concentrations and PM_2.5-attributable health effects largely depend on location, population density, and mortality rates. Existing effect factors build mostly on an essentially linear exposure-response function with coefficients from the American Cancer Society study. In contrast, the Global Burden of Disease analysis offers a nonlinear integrated exposure-response (IER) model with coefficients derived from numerous epidemiological studies covering a wide range of exposure concentrations. We explore the IER, additionally pr

SUBMITTER: Fantke P 

PROVIDER: S-EPMC6613786 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature