Analyzing urban landscapes through satellite data to predict abundance of Aedes mosquito breeding sites

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Teillet, Claire | Devillers, Rodolphe | Tran, Annelise | Catry, Thibault | Marti, Renaud | Dessay, Nadine | Rwagitinywa, Joseph | Restrepo, Johana | Roux, Emmanuel

Edité par CCSD -

International audience. The spread of mosquito-transmitted diseases such as dengue is a major public health issueworldwide. Aedes aegypti mosquitoes, one of the primary vectors for dengue, thrive in urbanenvironments and breed mainly in artificial and natural water containers. A betterunderstanding of the relationship between urban landscapes and potential breeding siteswould help mitigate the risks associated with these diseases. This study examines therelationship between urban landscape characteristics derived from remote sensing and theabundance and type of potential breeding sites in cities of French Guiana, South America,provided by the surveys carried out by the regional vector control service. A Multiple FactorAnalysis revealed variables associated with the abundance of breeding sites, including buildingarea, landscape form index, number of buildings, and texture indices. We obtained a good fitbetween predicted and observed values of breeding sites abundance using Random Forestmodels, with varying effectiveness depending on the type of breeding site. Since in-situbreeding site data were not specifically acquired for the purpose of this study, the datasetshowed some limitations. However, we were able to apply this model in areas whereentomological data were not available. This approach also has the potential to be used asinput in the modelling of mosquito dynamics. This research highlights the usefulness of urbancharacteristics based on satellite data for improving vector control strategies.

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