SPACE-TIME CLUSTERING ANALYSIS OF DIARRHEAIN SURAKARTA, CENTRAL JAVA


Authors

Dinda Nabila Silva Diba
Masters Program in Public Health, Universitas Sebelas Maret
~ Author

Abstract

Background: Diarrhea is an infectious digestive tract disorder. 78% of diarrhea cases are reported in developing regions such as Asia and Africa. Surakarta in the Province of Central Java, Indonesia, reported 6,542 cases of diarrhea in 2021, which rose to 7,113 cases in 2022. The purpose of this study was to investigate the influence of clustered residential areas on the incidence of diarrhea cases in Surakarta.

Subjects and Method: This was an ecological study. The data were obtained from the Central Bureau of Statistics, Surakarta, and the Health Information Profile of Surakarta years 2018-2022. The research area consisted of 17 community health centers (Puskesmas) and corresponding sub-districts in Surakarta. The dependent variable was diarrhea incidence. The independent variable was the clustering sub-districts. Data were analyzed using space-time clustering by SatScanTM software.

Results: Over the year 2018 to 2022, there was a higher clustering of diarrhea cases within adjacent sub-districts compared to outer sub-districts (Radius= 3.31 km; RR= 1.85; p= 0.001), with cluster center coordinates 7.583313 S, 110.825570 E. Diarrhea incidence in Surakarta was clustered in 9 of 17 sub-districts, i.e. Gajahan, Gilingan, Jayengan, Kratonan, Penumping, Pucangsawit, Purwodiningratan, Sangkrah, and Setabelan.

Conclusion: The incidence of diarrhea is clustered within adjacent sub-districts with a radius of 3.31 km and RR= 1.85.

Keywords: diarrhea, space-time clustering, SaTScan

Correspondence:

Dinda Nabila Silva Diba. Masters Program in Public Health, Universitas Sebelas Maret. Jl. Ir. Sutami 36A, Surakarta 57126, Central Java, Indonesia. Email: Dinda.silva.diba­@Student.uns.ac.id. Mobile: +6282268893633.

How to Cite

SPACE-TIME CLUSTERING ANALYSIS OF DIARRHEAIN SURAKARTA, CENTRAL JAVA. (2024). The International Conference on Public Health Proceeding, 8(01), 8. https://doi.org/10.26911/ICPH10/Epidemiology/2023.08