Spatial and Temporal Trends of Dengue Fever Cases in Bukittinggi City: Utilizing GIS for Risk Mapping
Keywords:
Dengue, GIS, Public health, Risk mapping, Spatial analysisAbstract
This study explores the spatial and temporal trends of Dengue Hemorrhagic Fever (DHF) cases in Bukittinggi City, employing Geographic Information Systems (GIS) for comprehensive risk mapping. The investigation spans from January 2015 to December 2019, analyzing DHF incidence data across various neighborhoods and age groups. The findings reveal a distinct seasonal pattern, with notable peaks during specific months, and identify significant age-related and spatial disparities in case distribution. The application of GIS technology has enabled the visualization of high-risk areas and the identification of potential clusters of DHF cases, facilitating targeted public health interventions. The research underscores the critical need for continuous monitoring and strategic resource allocation to mitigate DHF outbreaks in identified high-risk zones. The insights gained through this study provide a valuable basis for enhancing public health strategies and improving the allocation of preventive measures.
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