| Summary: | Background: Although Indonesia has achieved the step of elimination at
national level, there are still several provinces with a high rate of leprosy
disease. It can be expected that the elimination of leprosy disease can be
achieved at best by making a spatial analysis and mapping on those with
the disease and variations in several risk factors for the dissemination.
Objective: To find out whether or not there is the clustering of leprosy
disease, and to identify relationship between the leprosy disease and
social- economic, demographic and geographic factors.
Method: The study was an analytical research using a quantitative
method with a case-control design assisted by the GIS software. Data
analysis was done by using the Satscan and EpiInfo softwares (statcalc),
followed-up by multivariate analysis.
Result: Most likely cluster occurred with the cluster radius of 5.47 km (Pvalue
of 0.042), while secondary cluster occurred with the cluster radius of
4.04 km (P-value of 0.098). The most likely cluster of leprosy divided MB
occurred with the radius 34 m, while secondary cluster occurred with
radius 17 m. Bivariate analysis
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