Spatial Analysis of the Incidence of Dengue Hemorrhagic Fever (DHF) in Indonesia: Systematic Review Veronika Angellina Hiberto Ho1, Siwi Pramatama Mars Wijayanti1, Dwi Sarwani Sri Rejeki1
1Jenderal Soedirman University
Abstract
Background: Dengue Hemorrhagic Fever (DHF) is a major public health problem in Indonesia, with significant regional variations in incidence. Despite the government^s implementation of various control programs, DHF cases continue to exhibit specific spatial clustering patterns influenced by environmental and demographic factors.
Purpose: To analyze the spatial distribution of dengue fever cases in Indonesia and identify environmental and climatic factors associated with dengue fever incidence through a spatial analysis approach.
Method: This study followed the PRISMA guidelines and included articles published between January 2020 and December 2024. A literature search was conducted through the PubMed and SINTA databases using the keywords ^spatial analysis,^ ^dengue hemorrhagic fever,^ ^DHF,^ and ^Indonesia.^ Articles meeting the inclusion criteria were analyzed narratively and grouped based on similar findings.
Results: Six articles met the inclusion criteria. Most studies used spatial analysis tools such as ArcGIS, Moran^s I, and LISA to map clustering and autocorrelation patterns of dengue cases. The results showed that dengue cases tended to be concentrated in areas with high population density. Environmental factors such as temperature (25^C-30^C) and humidity were strongly associated with mosquito behavior and dengue transmission risk, while rainfall showed a weaker relationship. One study demonstrated a dispersed pattern of cases.
Conclusion: Spatial analysis methods have proven effective in identifying high-risk dengue clusters and understanding the influence of environmental variables on transmission dynamics. The results of this review emphasize the importance of geographically focused public health interventions and the need for continuous monitoring and mapping of dengue cases in endemic areas.
Keywords: Air Humidity- Dengue Hemorrhagic Fever- Spatial Analysis
