Ensemble-based source apportionment of fine particulate matter and emergency department visits for pediatric asthma

American Journal of Epidemiology
Katherine GassMatthew Strickland

Abstract

Epidemiologic studies utilizing source apportionment (SA) of fine particulate matter have shown that particles from certain sources might be more detrimental to health than others; however, it is difficult to quantify the uncertainty associated with a given SA approach. In the present study, we examined associations between source contributions of fine particulate matter and emergency department visits for pediatric asthma in Atlanta, Georgia (2002-2010) using a novel ensemble-based SA technique. Six daily source contributions from 4 SA approaches were combined into an ensemble source contribution. To better account for exposure uncertainty, 10 source profiles were sampled from their posterior distributions, resulting in 10 time series with daily SA concentrations. For each of these time series, Poisson generalized linear models with varying lag structures were used to estimate the health associations for the 6 sources. The rate ratios for the source-specific health associations from the 10 imputed source contribution time series were combined, resulting in health associations with inflated confidence intervals to better account for exposure uncertainty. Adverse associations with pediatric asthma were observed for 8-day exposur...Continue Reading

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Citations

Oct 13, 2015·Environmental Science & Technology·Josephine T BatesArmistead G Russell
Apr 5, 2016·Journal of Immunotoxicology·Vianey Rodriguez-LaraTeresa I Fortoul
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Apr 3, 2021·The Science of the Total Environment·Angeliki KaranasiouXavier Querol
Jul 15, 2021·Journal of Exposure Science & Environmental Epidemiology·Charlie H ZhangKristina M Zierold

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