Purely Spatial Scan Statistics using Ordinal Model on Diarrhea Determinant Factors in Tanah Bumbu District, South Kalimantan (Indonesia)
Keywords:
Diarrhea, SaTScan, Spatial Scan Statistic, Sanitation, Clean Water, Clean-living BehaviorAbstract
Diarrhea was a deadliest disease for children-under five years. In Indonesia, prevalence of diarrhea reaches 3,5% while its incidence in South Kalimantan was 3,3%. Purpose of this research was to determine spatially the correlation between causal factors with diarrhea cases in the working area of several public health center in Tanah Bumbu District. Its result should be useful as a tool for evaluation and determination of accurate and efficient planning based on geographical area. Ordinal data of diarrhea determinant factors was analyzed using SaTScanTM v9.4.4 in purely spatial analysis function with ordinal data model. P value was defined from Relative Risk value, and result from SaTScanTM was then visualized on map using QGIS NODEBO 2.16.3 to obtain the distribution pattern of cluster at risk. Data showed specific geographic distribution pattern of risked cluster and have a tendency to correlate cluster pattern with the distribution plot and strong density of diarrhea incidence. Result suggested that clusters with moderate to poor determinant quality have the same tendency with high case density in the area. Local-specific intervention related to improvement of water quality and sanitation along with continual education about clean and healthy living behavior, should be able to decrease the burden of diarrhea in the community.
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