Spatial Analysis for Dengue Cases in Northern Mindanao, Philippines Using DDSS-DBSCAN Algorithm

Abstract

This study applied an enhanced DBSCAN algorithm to analyze dengue cases in Northern Mindanao, Philippines. By considering both case density and geographic proximity, the analysis revealed distinct clustering patterns in specific areas. The findings suggest that dengue cases tend to concentrate in urban centers and gradually spread to neighboring municipalities. This pattern may be influenced by factors such as high population density, frequent human movement, and environmental conditions that support mosquito breeding. Additionally, a temporal analysis shows that dengue cases peak during the rainy season, underscoring the impact of climate and environmental factors on disease transmission. These insights reinforce the need for geographically focused public health strategies to enhance dengue prevention and control efforts.