In epidemiology, understanding the spatial distribution of diseases is crucial for effective public health interventions. Universal kriging helps by providing more accurate predictions of disease prevalence across regions, especially when environmental factors like air quality or socio-economic variables exhibit spatial trends. This method can be instrumental in identifying regions at higher risk and implementing targeted preventive measures.