Spatial Modeling of Diabetes Cases in Ghana

Oti-Boateng Emmanuel, Ngesa Oscar, Osei Frank Badu

Abstract: Diabetes is a continual daunting menace in Ghana. Although policy makers keep investing in areas to fight the disease yet the number keeps increasing. This brings out the question of whether monies are channeled to the truly needed districts. In this work, a disease map is plotted showing the variations of the relative risk of the disease in all district of Ghana. This maps are critical and informative to policy makers. This allows them to target policies and use the already meager resources well.

Keywords: Disease mapping, Bayesian analysis, Markov Chain Monte Carlo MCMC Spatial analysis, Deviance Information Criteria DIC