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Nevin Manimala Statistics

Bayesian spatial modelling of terrestrial radiation in Switzerland

J Environ Radioact. 2021 Mar 23;233:106571. doi: 10.1016/j.jenvrad.2021.106571. Online ahead of print.

ABSTRACT

The geographic variation of terrestrial radiation can be exploited in epidemiological studies of the health effects of protracted low-dose exposure. Various methods have been applied to derive maps of this variation. We aimed to construct a map of terrestrial radiation for Switzerland. We used airborne γ-spectrometry measurements to model the ambient dose rates from terrestrial radiation through a Bayesian mixed-effects model and conducted inference using Integrated Nested Laplace Approximation (INLA). We predicted higher levels of ambient dose rates in the alpine regions and Ticino compared with the western and northern parts of Switzerland. We provide a map that can be used for exposure assessment in epidemiological studies and as a baseline map for assessing potential contamination.

PMID:33770702 | DOI:10.1016/j.jenvrad.2021.106571

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