Universidad Peruana Cayetano Heredia

Technical Workflow Development for Integrating Drone Surveys and Entomological Sampling to Characterise Aquatic Larval Habitats of Anopheles funestus in Agricultural Landscapes in Côte d'Ivoire.

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dc.contributor.author Byrne, Isabel
dc.contributor.author Chan, Kallista
dc.contributor.author Manrique, Edgar
dc.contributor.author Lines, Jo
dc.contributor.author Wolie, Rosine Z.
dc.contributor.author Trujillano, Fedra
dc.contributor.author Garay, Gabriel Jimenez
dc.contributor.author Del Prado Cortez, Miguel Nunez
dc.contributor.author Alatrista-Salas, Hugo
dc.contributor.author Sternberg, Eleanore
dc.contributor.author Cook, Jackie
dc.contributor.author N'Guessan, Raphael
dc.contributor.author Koffi, Alphonsine
dc.contributor.author Ahoua Alou, Ludovic P.
dc.contributor.author Apollinaire, Nombre
dc.contributor.author Messenger, Louisa A.
dc.contributor.author Kristan, Mojca
dc.contributor.author Carrasco Escobar, Gabriel
dc.contributor.author Fornace, Kimberly
dc.date.accessioned 2021-12-12T20:24:56Z
dc.date.available 2021-12-12T20:24:56Z
dc.date.issued 2021
dc.identifier.uri https://hdl.handle.net/20.500.12866/10237
dc.description.abstract Land-use practices such as agriculture can impact mosquito vector breeding ecology, resulting in changes in disease transmission. The typical breeding habitats of Africa's second most important malaria vector Anopheles funestus are large, semipermanent water bodies, which make them potential candidates for targeted larval source management. This is a technical workflow for the integration of drone surveys and mosquito larval sampling, designed for a case study aiming to characterise An. funestus breeding sites near two villages in an agricultural setting in Côte d'Ivoire. Using satellite remote sensing data, we developed an environmentally and spatially representative sampling frame and conducted paired mosquito larvae and drone mapping surveys from June to August 2021. To categorise the drone imagery, we also developed a land cover classification scheme with classes relative to An. funestus breeding ecology. We sampled 189 potential breeding habitats, of which 119 (63%) were positive for the Anopheles genus and nine (4.8%) were positive for An. funestus. We mapped 30.42 km(2) of the region of interest including all water bodies which were sampled for larvae. These data can be used to inform targeted vector control efforts, although its generalisability over a large region is limited by the fine-scale nature of this study area. This paper develops protocols for integrating drone surveys and statistically rigorous entomological sampling, which can be adjusted to collect data on vector breeding habitats in other ecological contexts. Further research using data collected in this study can enable the development of deep-learning algorithms for identifying An. funestus breeding habitats across rural agricultural landscapes in Côte d'Ivoire and the analysis of risk factors for these sites en_US
dc.language.iso eng
dc.publisher Hindawi
dc.relation.ispartofseries Journal of Environmental and Public Health
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject Workflow Development en_US
dc.subject Entomological Sampling en_US
dc.subject Aquatic Larval Habitats en_US
dc.subject Anopheles funestus en_US
dc.subject Agricultural Landscapes en_US
dc.subject Côte d’Ivoire en_US
dc.title Technical Workflow Development for Integrating Drone Surveys and Entomological Sampling to Characterise Aquatic Larval Habitats of Anopheles funestus in Agricultural Landscapes in Côte d'Ivoire. en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1155/2021/3220244
dc.relation.issn 1687-9813


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