Spatial Cluster Models: Model to Predict Disease Casual Association with Physical, Social and Environmental Risk Factors in Public Health Research

Spatial clustering will help us to identify spatial pattern and also predict geographical factors associated with disease. Spatial cluster models are classified as Global, Local and Focused clusters. This article aims to discuss various types of spatial cluster models such as Moran I, Geary C, Tango EET, CUSUM, GAM, K function, Scan statistic and other with suitable examples which will sensitise the medical researchers about this technique.