Castro, Marcia C.
Trindade, Patricia M. P.
Nogueira, Mauricio L.
Lage, Mariana de Oliveira
Quintanilha, Jose A.
Parra, Maisa C.
Dibo, Margareth R.
Favaro, Eliane A.
Guirado, Marluci M.
Total Authors: 11
 Univ Sao Paulo, Dept Epidemiol, Sch Publ Hlth, Av Dr Arnaldo, BR-715 Sao Paulo, SP - Brazil
 Harvard TH Chan Sch Publ Hlth, Dept Global Hlth & Populat, Boston, MA - USA
 Natl Inst Space Res INPE, Southern Reg Ctr, Santa Maria, RS - Brazil
 Fac Med Sao Jose do Rio Preto, Virol Res Lab, Sao Jose Do Rio Preto, SP - Brazil
 Univ Sao Paulo, Inst Energy & Environm IEE, Sci Div Management Environm Sci & Technol, Sao Paulo, SP - Brazil
 Endem Control Superintendence, Entomol Lab, Sao Paulo, SP - Brazil
 Endem Control Superintendence, Vectors Lab, Sao Jose Do Rio Preto, SP - Brazil
Total Affiliations: 7
DEC 10 2020.
Web of Science Citations:
Identifying Aedes aegypti breeding hotspots in urban areas is crucial for the design of effective vector control strategies. Remote sensing techniques offer valuable tools for mapping habitat suitability. In this study, we evaluated the association between urban landscape, thermal features, and mosquito infestations. Entomological surveys were conducted between 2016 and 2019 in Vila Toninho, a neighborhood of SAo Jose do Rio Preto, SAo Paulo, Brazil, in which the numbers of adult female Ae. aegypti were recorded monthly and grouped by season for three years. We used data from 2016 to 2018 to build the model and data from summer of 2019 to validate it. WorldView-3 satellite images were used to extract land cover classes, and land surface temperature data were obtained using the Landsat-8 Thermal Infrared Sensor (TIRS). A multilevel negative binomial model was fitted to the data, which showed that the winter season has the greatest influence on decreases in mosquito abundance. Green areas and pavements were negatively associated, and a higher cover of asbestos roofs and exposed soil was positively associated with the presence of adult females. These features are related to socio-economic factors but also provide favorable breeding conditions for mosquitos. The application of remote sensing technologies has significant potential for optimizing vector control strategies, future mosquito suppression, and outbreak prediction. (AU)