دورية أكاديمية
Remote sensing for risk mapping of Aedes aegypti infestations: Is this a practical task?
| العنوان: | Remote sensing for risk mapping of Aedes aegypti infestations: Is this a practical task? |
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| المؤلفون: | Lorenz C; Departamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, Av. Dr. Arnaldo, 715, São Paulo, SP, Brazil. Electronic address: camilalorenz@usp.br., Chiaravalloti-Neto F; Departamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, Av. Dr. Arnaldo, 715, São Paulo, SP, Brazil., de Oliveira Lage M; Divisão Científica de Gestão, Ciência e Tecnologia Ambiental do Instituto de Energia e Ambiente - IEE da Universidade de São Paulo, São Paulo, SP, Brazil., Quintanilha JA; Divisão Científica de Gestão, Ciência e Tecnologia Ambiental do Instituto de Energia e Ambiente - IEE da Universidade de São Paulo, São Paulo, SP, Brazil., Parra MC; Laboratório de Pesquisa em Virologia, Faculdade de Medicina de São José do Rio Preto, São José do Rio Preto, SP, Brazil., Dibo MR; Laboratório de Entomologia, Superintendência de Controle de Endemias, São Paulo, SP, Brazil., Fávaro EA; Laboratório de Pesquisa em Virologia, Faculdade de Medicina de São José do Rio Preto, São José do Rio Preto, SP, Brazil., Guirado MM; Laboratório de Vetores, Superintendência de Controle de Endemias, São José do Rio Preto, SP, Brazil., Nogueira ML; Laboratório de Pesquisa em Virologia, Faculdade de Medicina de São José do Rio Preto, São José do Rio Preto, SP, Brazil. |
| المصدر: | Acta tropica [Acta Trop] 2020 May; Vol. 205, pp. 105398. Date of Electronic Publication: 2020 Feb 14. |
| نوع المنشور: | Journal Article |
| اللغة: | English |
| بيانات الدورية: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0370374 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1873-6254 (Electronic) Linking ISSN: 0001706X NLM ISO Abbreviation: Acta Trop Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: Amsterdam : Elsevier Original Publication: Basel. |
| مواضيع طبية MeSH: | Remote Sensing Technology* , Spacecraft*, Aedes/*physiology , Animal Distribution/*physiology, Animals ; Bayes Theorem ; Brazil ; Climate Change ; Humans ; Mosquito Control ; Seasons ; Temperature |
| مستخلص: | Mosquito-borne diseases affect millions of individuals worldwide; the area of endemic transmission has been increasing due to several factors linked to globalization, urban sprawl, and climate change. The Aedes aegypti mosquito plays a central role in the dissemination of dengue, Zika, chikungunya, and urban yellow fever. Current preventive measures include mosquito control programs; however, identifying high-risk areas for mosquito infestation over a large geographic region based only on field surveys is labor-intensive and time-consuming. Thus, the objective of this study was to assess the potential of remote satellite images (WorldView) for determining land features associated with Ae. aegypti adult infestations in São José do Rio Preto/SP, Brazil. We used data from 60 adult mosquito traps distributed along four summers; the remote sensing images were classified by land cover types using a supervised classification method. We modeled the number of Ae. aegypti using a Poisson probability distribution with a geostatistical approach. The models were constructed in a Bayesian context using the Integrated nested Laplace Approximations and Stochastic Partial Differential Equation method. We showed that an infestation of Ae. aegypti adult mosquitoes was positively associated with the presence of asbestos roofing and roof slabs. This may be related to several other factors, such as socioeconomic or environmental factors. The usage of asbestos roofing may be more prevalent in socioeconomically poor areas, while roof slabs may retain rainwater and contribute to the generation of temporary mosquito breeding sites. Although preliminary, our results demonstrate the utility of satellite remote sensing in identifying landscape differences in urban environments using a geostatistical approach, and indicated directions for future research. Further analyses including other variables, such as land surface temperature, may reveal more complex relationships between urban mosquito micro-habitats and land cover features. Competing Interests: Declaration of interests The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (Copyright © 2020 Elsevier B.V. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Bayesian approach; Geostatistical analysis; Landscape; Mosquito control |
| تواريخ الأحداث: | Date Created: 20200219 Date Completed: 20200916 Latest Revision: 20200916 |
| رمز التحديث: | 20221213 |
| DOI: | 10.1016/j.actatropica.2020.105398 |
| PMID: | 32068030 |
| قاعدة البيانات: | MEDLINE |
Full Text Finder | تدمد: | 1873-6254 |
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| DOI: | 10.1016/j.actatropica.2020.105398 |