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Effects of Exposure Measurement Error in the Analysis of Health Effects from Traffic-Related Air Pollution
Citation:
Baxter, L. K., R. J. Wright, C. J. Paciorek, F. LADEN, H. H. SUH, AND J. LEVY. Effects of Exposure Measurement Error in the Analysis of Health Effects from Traffic-Related Air Pollution. Journal of Exposure Science and Environmental Epidemiology . Nature Publishing Group, London, Uk, 20(1):101-111, (2009).
Impact/Purpose:
The National Exposure Research Laboratory′s (NERL) Human Exposure and Atmospheric Sciences Division (HEASD) conducts research in support of EPA′s mission to protect human health and the environment. HEASD′s research program supports Goal 1 (Clean Air) and Goal 4 (Healthy People) of EPA′s 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 are improved regulatory programs and policies for EPA.
Description:
In large epidemiological studies, many researchers use surrogates of air pollution exposure such as geographic information system (GIS)-based characterizations of traffic or simple housing characteristics. It is important to validate these surrogates against measured pollutant concentrations to determine how their use affects the interpretation of results from an epidemiologic study. In this study, we quantified the implications of using exposure models derived from validation studies and other alternative surrogate models with varying amounts of measurement error on epidemiological study findings.
URLs/Downloads:
Journal of Exposure Science and Environmental Epidemiology
Journal of Exposure Science and Environmental Epidemiology