An examination of exposure measurement error from air pollutant spatial variability in time-series studies.

ABSTRACT: Relatively few studies have evaluated the effects of heterogeneous spatiotemporal pollutant distributions on health risk estimates in time-series analyses that use data from a central monitor to assign exposures. We present a method for examining the effects of exposure measurement error relating to spatiotemporal variability in ambient air pollutant concentrations on air pollution health risk estimates in a daily time-series analysis of emergency department visits in Atlanta, Georgia. We used Poisson generalized linear models to estimate associations between current-day pollutant concentrations and circulatory emergency department visits for the 1998-2004 time period. Data from monitoring sites located in different geographical regions of the study area and at different distances from sev

SUBMITTER: Sarnat SE 

PROVIDER: S-EPMC3780363 | biostudies-literature | 2010 Mar

REPOSITORIES: biostudies-literature