“…Some of the more commonly utilised algorithms in health data analysis include: Moran's I (1950), local Moran's I (Anselin, 1995), local G i and G i * statistic (Getis and Ord, 1992;Ord and Getis, 1995), and the spatial scan statistic (Kulldorff, 1997). In particular, the local G i * statistic has been well established as a useful tool for defining the extent of local spatial autocorrelation and identifying clusters of disease including malaria (de Castro et al, 2007), schistosomiasis (Clennon et al, 2006), dengue (Jeffery et al, 2009), and typhoid (Hinman et al, 2006). Additionally, the G i * statistic has also been employed to uncover geographic and anthropogenic features associated with the distribution of spatial data.…”