Spatial Clustering and Hotspot Analysis of Dengue Fever in West Java Province, 2020–2024

Lailatul Mardhiyah; Suhartono Suhartono; Mursid Raharjo; Nur Endah Wahyuningsih; Sulistiyani Sulistiyani

doi:10.54543/kesans.v5i4.563

Authors

Lailatul Mardhiyah Master of Environmental Health Study Program, Faculty of Public Health, Diponegoro University, Indonesia
Suhartono Suhartono Department of Environmental Health, Faculty of Public Health, Diponegoro University, Indonesia
Mursid Raharjo Department of Environmental Health, Faculty of Public Health, Diponegoro University, Indonesia
Nur Endah Wahyuningsih Department of Environmental Health, Faculty of Public Health, Diponegoro University, Indonesia
Sulistiyani Sulistiyani Department of Environmental Health, Faculty of Public Health, Diponegoro University, Indonesia

DOI:

https://doi.org/10.54543/kesans.v5i4.563

Keywords:

Dengue Fever, Hotspot Analysis, Moran’s Index, LISA, Spatial Analysis

Abstract

Introduction: Dengue fever, a vector-borne disease caused by the dengue virus (DENV) and transmitted by Aedes aegypti and Aedes albopictus mosquitoes, has become a major public health problem in West Java, Indonesia. Objective: This study aimed to map high-risk zones of dengue fever in West Java from 2020 to 2024 using spatial analysis techniques. Method: The study used confirmed dengue case data obtained from the West Java Health Profile and applied ArcMap version 10.5 for spatial mapping and analysis, including Global Moran’s Index, Getis-Ord Gi*, Local Indicators of Spatial Association (LISA), and hotspot analysis. Result and Discussion: The results showed a shift in the spatial distribution pattern of dengue cases from random in 2020 to significantly clustered in subsequent years. LISA analysis consistently identified high-high clusters in Bandung Regency, Bandung City, Bogor Regency, Bogor City, Depok City, and Bekasi City, indicating persistent spatial hotspots. Getis-Ord Gi* analysis further confirmed these hotspots with varying levels of statistical significance throughout the study period. Conclusion: These findings indicate the presence of endemic pockets and underscore the need for targeted public health interventions in high-risk areas. This study highlights the value of spatial analysis in understanding disease patterns and in informing evidence-based dengue control strategies in West Java.