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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Predicting Aedes aegypti infestation using landscape and thermal features

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Author(s):
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Lorenz, Camila [1] ; Castro, Marcia C. [2] ; Trindade, Patricia M. P. [3] ; Nogueira, Mauricio L. [4] ; Lage, Mariana de Oliveira [5] ; Quintanilha, Jose A. [5] ; Parra, Maisa C. [4] ; Dibo, Margareth R. [6] ; Favaro, Eliane A. [4] ; Guirado, Marluci M. [7] ; Chiaravalloti-Neto, Francisco [1]
Total Authors: 11
Affiliation:
[1] Univ Sao Paulo, Dept Epidemiol, Sch Publ Hlth, Av Dr Arnaldo, BR-715 Sao Paulo, SP - Brazil
[2] Harvard TH Chan Sch Publ Hlth, Dept Global Hlth & Populat, Boston, MA - USA
[3] Natl Inst Space Res INPE, Southern Reg Ctr, Santa Maria, RS - Brazil
[4] Fac Med Sao Jose do Rio Preto, Virol Res Lab, Sao Jose Do Rio Preto, SP - Brazil
[5] Univ Sao Paulo, Inst Energy & Environm IEE, Sci Div Management Environm Sci & Technol, Sao Paulo, SP - Brazil
[6] Endem Control Superintendence, Entomol Lab, Sao Paulo, SP - Brazil
[7] Endem Control Superintendence, Vectors Lab, Sao Jose Do Rio Preto, SP - Brazil
Total Affiliations: 7
Document type: Journal article
Source: SCIENTIFIC REPORTS; v. 10, n. 1 DEC 10 2020.
Web of Science Citations: 0
Abstract

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)

FAPESP's process: 17/10297-1 - Identification of risk areas for arboviruses using traps for adults of Aedes aegypti and Aedes albopictus and remote sensing images
Grantee:Camila Lorenz
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 13/21719-3 - Epidemiological study of dengue (serotypes1-4) in a cohort of São José do Rio Preto, São Paulo, Brazil, during 2014-2018
Grantee:Maurício Lacerda Nogueira
Support type: Research Projects - Thematic Grants
FAPESP's process: 19/08205-7 - Using remote sensing for risk mapping of adult Aedes aegypti infestation
Grantee:Camila Lorenz
Support type: Scholarships abroad - Research Internship - Post-doctor