JSM 2005 - Toronto

Abstract #302783

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 48
Type: Invited
Date/Time: Sunday, August 7, 2005 : 4:00 PM to 5:50 PM
Sponsor: WNAR
Abstract - #302783
Title: Spatial Modeling of Environmental Exposures, Diseases, and Confounders from National Databases
Author(s): Roger D. Peng*+
Companies: Johns Hopkins University
Address: Bloomberg School of Public Health, Department of Biostatistics, Baltimore, MD, 21205,
Keywords:
Abstract:

Multisite time series studies of air pollution and health have provided consistent evidence that daily variation in air pollution levels is associated with daily variation in mortality counts. These findings served as key epidemiological evidence for the recent review of the U.S. National Ambient Air Quality Standards for particulate matter. The increasing availability of national-level data collected from a variety of sources introduces the possibility of estimating spatially varying health effects of air pollution across regions of the US. While such spatially varying effects potentially can be explained by differing particle composition across the country, a national-level study investigating this hypothesis has yet to be conducted. We extend the current methodology of multisite time series studies of air pollution and health and present models for spatially varying relative risks. hese models allow us to link risk estimates with PM2.5 data so we can develop a better understanding of the health effects of various particle constituents.

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Revised March 2005