Full Citation
Title: Estimation of long-term area-average PM2.5 concentrations for area-level health analyses
Citation Type: Working Paper
Publication Year: 2016
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Abstract: Introduction: There is increasing evidence of an association between individual long-term PM2.5 exposure and human health. Mortality and morbidity data collected at the area-level are valuable resources for investigating corresponding population-level health effects. However, PM2.5 monitoring data are available for limited periods of time and locations, and are not adequate for estimating area-level concentrations. We developed a general approach to estimate county-average concentrations representative of population exposures for 1980-2010 in the continental U.S. Methods: We predicted annual average PM2.5 concentrations at about 70,000 census tract centroids, using a point prediction model previously developed for estimating annual average PM2.5 concentrations in the continental U.S. for 1980-2010. We then averaged these predicted PM2.5 concentrations in all counties weighted by census tract population. In sensitivity analyses, we compared the resulting estimates to four alternative county average estimates using MSE-based R2 in order to capture both . . .
Url: https://biostats.bepress.com/uwbiostat/paper415
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Authors: Kim, Sun-Young; Olives, Casey; Fann, Neal; Kaufman, Joel; Vedal, Sverre; Sheppard, Lianne
Series Title: UW Biostatistics Working Paper Series
Publication Number: 415
Institution: University of Washington
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Data Collections: IPUMS NHGIS
Topics: Other, Population Data Science
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