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Correlating point-referenced radon and areal uranium data arising from a common spatial process

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Abstract:

Summary. 

Because exposure to radon gas in buildings is a likely risk factor for lung cancer, estimation of residential radon levels is an important public health endeavour. Radon originates from uranium, and therefore data on the geographical distribution of uranium in the Earth's surface may inform about radon levels. We fit a Bayesian geostatistical model that appropriately combines data on uranium with measurements of indoor home radon in the state of Iowa, thereby obtaining more accurate and precise estimation of the geographic distribution of average residential radon levels than would be possible by using radon data alone.

Keywords: Bayesian hierarchical model; Markov chain Monte Carlo methods; Radon gas; Spatial statistics; Uranium

Document Type: Research Article

DOI: https://doi.org/10.1111/j.1467-9876.2007.00579.x

Affiliations: University of Iowa, Iowa City, USA

Publication date: 2007-05-01

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