A comparison of Bayesian spatial models for disease mapping

By N. G. Best, Sylvia Richardson, A. Thomson. Statistical Methods in Medical Research, 2005

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An intuitive Bayesian spatial model for disease mapping that accounts for scaling (2016, methodology): “…have been proposed, see for example Leroux et al. [4], Stern and Cressie [5] and Dean et al. [6] The appropriateness and behaviour of diﬀerent latent spatial models have been compared in a full Bayesian context [7, 8, 9, 2], an empirical Bayes setting [10] or using penalized quasi likelihood [4].”
Mathematical modeling of infectious disease dynamics (2013, background): “[58] [59] [60] [61] [62] [63] [64] Most of the infectious diseases result to strong spatio-temporal patterns whose systematic analysis is of outmost importance for better understanding, predicting and combating outbreaks.”