DISEASE MAPPING WITH ERRORS IN COVARIATES

L. BERNADINELLI · Cristiana Pascutto · Nicola G. Best · Walter R. Gilks

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Spatial and Panel Data Analysis Statistical Methods in Epidemiology Data-Driven Disease Surveillance

Abstract

We describe Bayesian hierarchical-spatial models for disease mapping with imprecisely observed ecological covariates. We posit smoothing priors for both the disease submodel and the covariate submodel. We apply the models to an analysis of insulin Dependent Diabetes Mellitus incidence in Sardinia, with malaria prevalence as a covariate.

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2017Spatial smoothing in Bayesian models: a comparison of weights matrix specifications and their impact on inference 2003On the Precision of the Conditionally Autoregressive Prior in Spatial Models 1999Hierarchical Bayes GLMs for the analysis of spatial data: An application to disease mapping

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