Analysis of spatial autocorrelation of diarrhea events in East Kalimantan in 2015-2017 using a local indicator of spatial autocorrelation

Abstract

Diarrhea is still a public health issue in developing countries, one of which is Indonesia. This is indicated by an increase in diarrhea morbidity rates from year to year. Therefore, it was necessary to conduct research related to diarrheal diseases. Factors that influence the incidence of diarrhea in an area depend on the condition of the environment or the surrounding area. Spatial autocorrelation is the correlation of a variable with itself based on space or can be said similarity of objects in space, both in terms of distance, time or region. Local Indicator of Spatial Autocorrelation (LISA) is a method for measuring and identifying spatial autocorrelation locally. The purpose of this study was to determine whether there is spatial autocorrelation in the incidence data of diarrhea in East Kalimantan in 2015-2017 by using LISA testing and to determine the level of vulnerability to the incidence of diarrhea in East Kalimantan. The results of data analysis with α = 10% indicated that there were spatial autocorrelations in several districts/cities in East Kalimantan in 2015, 2016 and 2017. The results of the analysis also showed that Samarinda City and Mahakam Ulu District were categorized as prone to diarrhea.