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Journal : Berita Kedokteran Masyarakat

Mapping the vulnerability of stunting in toddlers based on water, sanitation, and hygiene (WASH) indicators in South Sumatra Province by 2023: descriptive spatial analysis Novitasari, Prihatini Dini; Utami, Putri; Prameswari, Ayu; Ambarwati, Dyah
BKM Public Health and Community Medicine Vol 41 No 07 (2025)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v41i07.21467

Abstract

Purpose: This study was conducted to map stunting vulnerability in children under five years of age by district/city based on stunting prevalence and WASH indicators. Methods: The research method employed was descriptive spatial analysis using a Geographic Information System (GIS) application with a scoring method, incorporating natural breaks in QGIS software. Results: As a result, Empat Lawang and South Ogan Komering Ulu districts are high-priority districts for an immediate response to stunting. Additionally, four districts/cities were classified as high-priority areas, three as medium-priority areas, five as low-priority areas, and three as very low-priority areas. Conclusion: Therefore, the government and communities are expected to increase efforts to prevent and handle stunting in children under five by prioritizing districts/cities with a very high level of vulnerability through expanding the availability of clean drinking water source and proper sanitation, and promoting clean and healthy living through optimal use of clean water and hand washing with soap.
Spatial analysis of tuberculosis cases diffusion based on population density in Bekasi Regency in 2017-2021 Inggarputri, Yuanita Rizky; Trihandini, Indang; Novitasari, Prihatini Dini; Makful, Martya Rahmaniati
BKM Public Health and Community Medicine Vol 39 No 01 (2023)
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bkm.v39i01.6462

Abstract

Purpose: This research aims to examine the spatial relationship between tuberculosis cases and population density and their spatial diffusion patterns in Bekasi Regency in 2017-2021. Methods: Research using an ecological study design using spatial analysis to estimate and analyze the distribution of tuberculosis prevalence related to population density in 23 sub-districts in Bekasi Regency, compare data from 2017 to 2021 and evaluate the spatial correlation. The data is taken from secondary data from the Bekasi District Health Office for 2017-2021. Results: This study shows a spatial autocorrelation between tuberculosis cases and population density from 2017 to 2021 (I>E; p-value <0,05). There is spatial diffusion of cases characterized by expanding clusters with high tuberculosis cases. High-high cluster in 2017, there was one sub-district. In 2018 there was also one sub-district. In 2019 there were two sub-districts. In 2020, there were three sub-districts. And in 2021, there were five districts. Conclusion: This research shows a positive spatial autocorrelation in the incidence, which is influenced by population density in Bekasi Regency from year to year (2017-2021) with a clustering pattern.