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

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.

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Publication Details

Journal
South Eastern European Journal of Public Health
Published
2024-09-04
DOI
https://doi.org/10.70135/seejph.vi.1100
Primary Topic
Advanced Glycation End Products research
Type
article
Field-Weighted Citation Impact
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article

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

Rd. Halim, Dwi Noerjoedianto, Frans Yosep Sitepu
South Eastern European Journal of Public Health
Advanced Glycation End Products research
article

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

Rd. Halim, Dwi Noerjoedianto, Frans Yosep Sitepu
article en

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.

South Eastern European Journal of Public Health
Universitas Jambi (ID), Anhui Provincial Hospital (CN)
Openalex Percentile: Top 78%
Advanced Glycation End Products research
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