Dengue risk mapping of Cabanatuan City in 2018 using Geographic Information System and remote sensing data

Abstract

Yearly, the Philippines continuously reports dengue fever cases from all around the country which raises an important question on how to determine areas that are vulnerable to the dengue virus. This paper presents a way to map the risk of dengue fever using openly available remote sensing data. A multi-criteria decision analysis was done where risk factors were first identified. The resulting 2018 risk map of Cabanatuan City showed that its city center is the most vulnerable to dengue fever due to the favorable conditions that allow easier transmission of the dengue virus and maintaining vector mosquito populations.