Spatial Analysis of Diabetes Mellitus in Jambi Province: Methods Space-Time Scan Statistic and Spatial Autocorrelation

Abstract

Diabetes Mellitus (DM) is a chronic disease that threatens human health, the research aims to determine distribution, clusters, and spatial autocorrelation. The type of research is an exploratory study with an ecological design. Diabetes Mellitus using a Geographic Information System (GIS) is analyzed spatially. The research was conducted in the Jambi Province Region. The research sample was participants with a diagnosis of DM sourced from data from visits by the Social Security Administering Agency as name (BPJS)  at FKTP in 2020 - 2022. The results of the space-time scan statistical analysis during the 2020-2022 period found 10 DM clusters with details of 3 most likely clusters and 7 secondary clusters. Spatial autocorrelation analysis with Moran's I index found that there was spatial autocorrelation of DM in Jambi Province during the three-year research period. The conclusion obtained is that there are clusters and autocorrelation of DM disease in Jambi Province, the need for intervention in prevention and control programs in cluster and hotspot areas.