Dengue hemorrhagic fever (DHF) vulnerability assessment and mapping in Gorontalo Regency using multi-criteria analysis (AHP) model and geoinformation techniques

Ririn Pakaya, Muhammad Ramdhan Olii, Yanti Hz. Hano


One method of reducing the spread of DHF is to provide a map of DHF-prone locations based on spatial analysis. The primary method of preventing the spread of dengue hemorrhagic fever (DHF) is to control and monitor its vector by concentrating on specific localization areas and eliminating suitable breeding environments. Spatial analysis can detect DHF clusters that are larger than expected based on the underlying data. The aim of this paper was to identify, and map areas of DHF vulnerability based on several factors within Analytic Hierarchy Process (AHP) and Geographical Information Systems (GIS) framework. We found that the AHP factor weights were evaluated and found to be acceptable as the consistency ratio of 0.079, which was 0.1. Population density, distance to the road, radius of health facilities was discovered to be the most influential factors to DHF vulnerability. Gorontalo Regency is dominated by low vulnerability classes with an area of 139,493.5 ha or 65.08% of the total area. The GIS-AHP process could be used to assess transmissible DHF vulnerability zonation, which would aid in improving surveillance strategies for DHF and other vector-borne diseases in order to encourage prevention and control actions.



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International Journal of Public Health Science (IJPHS)
p-ISSN: 2252-8806, e-ISSN: 2620-4126

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