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A simulation study to quantify the impacts of exposure measurement error on air pollution health risk estimates in copollutant time-series
Citation:
Dionisio, K., H. Chang, AND L. Baxter. A simulation study to quantify the impacts of exposure measurement error on air pollution health risk estimates in copollutant time-series. 27th Conference of the International Society for Environmental Epidemiology, Sao Paulo, BRAZIL, August 30 - September 03, 2015.
Impact/Purpose:
The National Exposure Research Laboratory (NERL) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA mission to protect human health and the environment. HEASD research program supports Goal 1 (Clean Air) and Goal 4 (Healthy People) of EPA strategic plan. More specifically, our division conducts research to characterize the movement of pollutants from the source to contact with humans. Our multidisciplinary research program produces Methods, Measurements, and Models to identify relationships between and characterize processes that link source emissions, environmental concentrations, human exposures, and target-tissue dose. The impact of these tools is improved regulatory programs and policies for EPA.
Description:
A simulation study to quantify the impacts of exposure measurement error on air pollution health risk estimates in copollutant time-series
