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Accounting for uncertainty in source-specific exposures in the evaluation of health effects of pollution sources on daily cause-specific mortality

Title
Accounting for uncertainty in source-specific exposures in the evaluation of health effects of pollution sources on daily cause-specific mortality
Authors
Park, Eun SugOh, Man-Suk
Ewha Authors
오만숙
SCOPUS Author ID
오만숙scopus
Issue Date
2018
Journal Title
ENVIRONMETRICS
ISSN
1180-4009JCR Link1099-095XJCR Link
Citation
vol. 29, no. 1
Keywords
exposure measurement errormodel uncertaintymortality from pneumoniamultipollutant approachPM health effects
Publisher
WILEY
Indexed
SCI; SCIE; SCOPUS WOS scopus
Abstract
Assessment of source-specific health effects has received growing attention in air pollution epidemiology over the past decade. Regardless of inherent uncertainty in the assessment of source-specific exposures, only a handful of previous studies coped with model uncertainty in source apportionment and/or accounted for exposure measurement error in the estimation of health effects, all under normal health outcome models. We present a source-specific health effects evaluation approach within a Bayesian framework that can handle both parameter uncertainty and model uncertainty in source apportionment under Poisson health outcome models for low daily mortality count data. While the use of a Poisson health outcome model is apparently more appropriate for low daily mortality count data for which normal approximation is not justified, it introduces additional complexity in estimating model uncertainty. We handle this complexity by introducing appropriate latent variables. The proposed method is illustrated with simulated data and daily ambient concentrations of the chemical composition of fine particulate matter (PM2.5), weather data, and counts of deaths from pneumonia in older adults (65years of age) in Houston, Texas, from January 2002 to August 2005.
DOI
10.1002/env.2484
Appears in Collections:
자연과학대학 > 통계학전공 > Journal papers
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