Supplementary Materials

Abstract: Aedes aegypti is widely distributed worldwide and is the main vector mosquito for dengue, one of the most important infectious diseases in middle and low-income countries. The landscape composition and vegetation cover can create the appropriate environments for this mosquito breeding, and it is fundamental to define the most affordable methodology to determine these landscape variables in urban environments. The proposed methodology integrates UAV technologies and traditional entomological surveillance to strengthen our knowledge about areas more suitable for Ae. aegypti infestation. We included an analysis using the vegetation indexes NDVI and NDVIRe and their association with Ae. aegypti larvae and adults in houses from the El Vergel neighborhood Tapachula, Chiapas, Mexico. We used drone technology to obtain high-resolution photos and performed multispectral orthomosaic constructions for the data of vegetation indexes with a Kernel density analysis. A negative binomial regression was performed to determine the association between the numbers of Ae. aegypti larvae and adults with the values of the NDVI and NDVIRe. Medium and high values for both NDVIRe (both ppAe. aegypti larvae per houses did not show an association with medium and high values of NDVIRe (both p>0.05) and NDVI (both p>0.05). The vegetation indexes NDVI and NDVIRe have the potential as precise predictors of Ae. aegypti adult mosquito circulation in urban environments. The drone technology can be used to map and obtain landscape characteristics associated with mosquito abundance in urban environments.