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Effect of housing factors and surficial uranium on the spatial prediction of residential radon in Iowa
Author(s) -
Smith Brian J.,
Field R. William
Publication year - 2007
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/env.816
Subject(s) - radon , environmental science , radon exposure , uranium , radium , hydrology (agriculture) , environmental health , physical geography , geology , geography , radiochemistry , medicine , geotechnical engineering , chemistry , materials science , physics , quantum mechanics , metallurgy
Growing epidemiologic evidence suggests that residential radon is an important risk factor for lung cancer. Consequently, public health professionals have expressed interest in characterizing the spatial distribution of radon concentrations in order to identify geographic regions of high exposure. Ambient radon concentrations are a function of geologic features including soil radium content. Indoor radon concentrations can vary based on building characteristics that affect the entry of radon into the building and movement between rooms therein. We present a geostatistical hierarchical Bayesian model for radon that allows for spatial prediction based on geologic data and housing characteristics. Our model is applied to radon data from an epidemiologic study in Iowa that consist of 136 outdoor measurements and 2590 indoor measurements from 614 residential homes. Housing characteristics collected in the Iowa Study are included as predictors in the model. Geologic data in the form of county‐average surficial uranium concentrations from the USGS National Uranium Resource Evaluation project are also considered. A ‘change of support’ approach is implemented to combine the radon measurements, collected at points in space, and the uranium concentrations, averaged over counties, so that point‐source concentrations for the latter are available for the analysis. Estimates of the effect of select housing factors on radon are provided along with spatial maps of predicted radon concentrations in Iowa. Copyright © 2006 John Wiley & Sons, Ltd.