Japan Geoscience Union Meeting 2025

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[E] Oral

H (Human Geosciences ) » H-TT Technology & Techniques

[H-TT15] Geographic Information Systems and Cartography

Thu. May 29, 2025 10:45 AM - 12:15 PM 104 (International Conference Hall, Makuhari Messe)

convener:Takashi Oguchi(Center for Spatial Information Science, The University of Tokyo), Yuei-An Liou(National Central University), Ruci Wang(Center for Environmrntal Remote Sensing, Chiba University), Masahiro Tanaka(Tokyo Metropolitan University), Chairperson:Yuei-An Liou(National Central University), Ruci Wang(Center for Environmrntal Remote Sensing, Chiba University)


11:30 AM - 11:45 AM

[HTT15-10] Mapping of Dengue risk zonation in Long An province, Vietnam using GIS and AHP based decision-making approach

*Hang Thi Vu1, Takehiro Morimoto1 (1.University of Tsukuba)

Keywords:GIS, AHP, Dengue Fever, Long An, Dengue risk zonation

Mapping dengue risk areas is a complex and multi-faceted process that requires evaluating multiple criteria. This study evaluates the risk of dengue infection in Long An province, Vietnam, by integrating Geographic Information System (GIS) and Analytical Hierarchy Process (AHP). GIS techniques were employed to develop a dengue risk zonation map by weighted overlay analysis, and AHP was used to weight related factors based on assessments from five health experts. In terms of evaluating factors, linear regression, or machine learning models primarily focusing on climatic factors such as temperature and rainfall, the GIS-AHP approach considers a broader range of contributing factors. Nine spatial risk factors were analyzed using data from government sources, expert surveys, and satellite imagery, namely Land Use/Land Cover (LULC), Land Elevation (LE), Water Bodies Buffer (WBB), Landfill Buffer (LB), Water Quality Index (WQI), Rainfall (R), Temperature (T), Population Density (PD), and Household Density (HD). Based on this methodology, risk areas were categorized as very high, high, moderate, and low dengue risk. The research results indicate that the very high and high risk areas (covering 8.01% of the province) are concentrated in the northern region near Ho Chi Minh City. Here, high population density, frequent rainfall, and proximity to water bodies and landfills contribute to dengue transmission. A comparison between the findings of this study and reported dengue case data from 2019 to 2023 reveals that the very high and high risk areas identified in this study encompass the previously reported high-density area but extend beyond its boundaries This discrepancy suggests potential outbreak areas, aiding CDC Long An in proactive disease prevention efforts. This study concludes that integrating GIS and AHP effectively identifies high-risk dengue areas, enhancing local disease prevention efforts. WQI and landfill proximity will be key risk factors that contribute significantly to future dengue research.