Atik Choirul Hidajah
Division of Epidemiology, Department of Epidemiology, Biostatistics, Population Studies, and Health Promotion, Faculty of Public Health, Universitas Airlangga

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ANALYSIS OF THE VULNERABILITY AREAS FOR DENGUE FEVER IN BONDOWOSO DISTRICT IN 2024: Analisis Kerawanan Wilayah Kejadian DBD di Kabupaten Bondowoso Tahun 2024 Tiari Eveline Waruwu; Atik Choirul Hidajah; Nur Ali Mas’ud
Jurnal Berkala Epidemiologi Vol. 14 No. 3 (2026): Jurnal Berkala Epidemiologi (Periodic Epidemiology Journal)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jbe.V14I32026.247-255

Abstract

Background: The number of dengue fever cases increased significantly in 2024 in East Java Province, including in Bondowoso District. The IR rate in Bondowoso District in 2024 was 120.19 per 100,000 population with a CFR of 0.21%. Environmental and socio-demographic factors led to differences in vulnerability across regions. Purpose: to analyze the vulnerability of the region to dengue fever in order to determine the priorities for dengue fever prevention and control interventions in Bondowoso District. Methods: An analytical observational study with an ecological study design using secondary data from the Bondowoso District Health Office, BPS, and Google Earth Engine. The unit of analysis was 23 subdistricts. Cluster analysis was performed using the K-Means method on seven risk variables. Results: The study shows three vulnerability clusters: high vulnerability (2 subdistricts), moderate vulnerability (9 subdistricts), and low vulnerability (12 subdistricts). Four variables significantly differentiate vulnerability between clusters (p<0.05): the percentage of the male population, population density, rainfall, and the percentage of the productive-age population. The high-risk cluster is concentrated in Bondowoso and Tenggarang sub-districts. Conclusion: The Bondowoso District is divided into three levels of dengue fever risk. Population density, rainfall, and the percentage of the productive age group vary across regions, differentiating risk levels. It is necessary to intervene in dengue fever control based on the level of risk in each region, focusing on high-risk clusters and vigilance in areas with the potential for increased risk in medium-risk clusters.