Python and R codes for analysis in the manuscript: <b>Spatial epidemiology of diabetes in Ghana: identifying regional hotspots and socioeconomic predictors for targeted interventions</b>"

The study aims to map the geographical burden of diabetes in Ghana, identify "hotspots" (areas of high incidence) and "coldspots" (areas of low incidence), and determine which regional factors—such as wealth, education, and urbanization—best predict these patterns