Presents an overview of the main areas of Bayesian hierarchical modeling and its application to the geographical analysis of disease. This title explores a range of topics in Bayesian inference and modeling. It explains how to apply these methods to disease mapping using numerous real-world data sets pertaining to cancer, asthma, and epilepsy.