DETECTION OF SPATIAL AUTOCORRELATION OF DIARRHOEA IN EAST JAVA USING THE MORAN'S INDEX TEST

Abstract

Background: Diarrhoea is an infectious disease with a high level of morbidity and mortality in the community. Spatial analysis is one of the analytical techniques for managing diarrhoea data and helping the government formulate policies.   Objectives: This study aims to detect the spatial autocorrelation of diarrhoea in East Java using the Moran's Index.   Methods: This study was non-reactive. This study used secondary data sourced from the 2021 East Java Health Profile. The population in the study was all districts/cities in East Java. The sampling technique was carried out by total sampling. The research sample was 38 districts/cities. Data analysis through mapping and spatial autocorrelation detection.   Results: Mapping of diarrhoea showed that out of 38 districts/cities, there were 13 areas with a category of high diarrhoea, 12 areas with a category of moderate diarrhoea, and 13 areas with a category of low diarrhoea. The significance value of Moran's I test was obtained at 0.03 (<α=0.05). There were three areas included in the High-High category, one area included in the Low-Low category, and three areas included in the Low-High category.   Conclusion: The diarrhoea in districts/cities in East Java Province could affect the diarrhoea in adjacent districts/cities. The existence of spatial autocorrelation in diarrhoea should be a serious concern for all elements, both the government and the people of East Java. We need further research to identify factors affecting diarrhoea in East Java.