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Satellite observation to assess dengue risk due to Aedes aegypti and Aedes albopictus in a subtropical city of Argentina
Authors:Mía Elisa Martín  Ana Carolina Alonso  Janinna Faraone  Marina Stein  Elizabet Lilia Estallo
Institution:1. Instituto de Investigaciones Biológicas y Tecnológicas (IIByT), Universidad Nacional de Córdoba, CONICET, Centro de Investigaciones Entomológicas de Córdoba (CIEC), FCEFyN, Córdoba, Argentina;2. Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina (CONICET), Argentina

Instituto de Medicina Regional, Universidad Nacional del Nordeste, Resistencia, Chaco, Argentina

Instituto de Investigaciones en Energía no Convencional (INENCO-CONICET), Universidad Nacional de Salta, Salta, Argentina;3. Consejo Nacional de Investigaciones Científicas y Técnicas, Argentina (CONICET), Argentina

Instituto de Medicina Regional, Universidad Nacional del Nordeste, Resistencia, Chaco, Argentina

Abstract:Earth observation environmental features measured through remote sensing and models of vector mosquitoes species Aedes aegypti and Ae. albopictus provide an advancement with regards to dengue risk in urban environments of subtropical areas of Argentina. The authors aim to estimate the effect of landscape coverage and spectral indices (Normalized Difference Vegetation Index NDVI], Normalized Difference Water Index NDWI] and Normalized Difference Built-up Index NDBI]) on the larvae abundance of Ae. aegypti and Ae. albopictus in Eldorado, Misiones, Argentina using remote satellite sensors. Larvae of these species were collected monthly (June 2016 to April 2018), in four environments: tire repair shops, cemeteries, dwellings and an urban natural park. The proportion of landscape coverage (water, urban areas, bare soil, low vegetation and high vegetation) was determined from the supervised classification of Sentinel-2 images and spectral indices, calculated. The authors developed spatial models of both vector species by generalized linear mixed models. The model's results showed that Ae. aegypti larvae abundance was better modelled by NDVI minimum values, NDBI maximum values and the interaction between them. For Ae. albopictus proportion of bare soil, low vegetation and the interaction between both variables explained better the abundance.
Keywords:Aedes aegypti  Aedes albopictus  dengue  Eldorado city  landscape  public health  urban ecology  urban environment
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