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Copyright © 2021 Isabel Byrne et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/

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 km2 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.

Details

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
Author
Byrne, Isabel 1   VIAFID ORCID Logo  ; Chan, Kallista 2   VIAFID ORCID Logo  ; Manrique, Edgar 3   VIAFID ORCID Logo  ; Lines, Jo 2   VIAFID ORCID Logo  ; Wolie, Rosine Z 4   VIAFID ORCID Logo  ; Trujillano, Fedra 5   VIAFID ORCID Logo  ; Gabriel Jimenez Garay 5   VIAFID ORCID Logo  ; Miguel Nunez Del Prado Cortez 6   VIAFID ORCID Logo  ; Alatrista-Salas, Hugo 7   VIAFID ORCID Logo  ; Sternberg, Eleanore 8   VIAFID ORCID Logo  ; Cook, Jackie 9   VIAFID ORCID Logo  ; Raphael N’Guessan 10 ; Alphonsine Koffi 11   VIAFID ORCID Logo  ; Ludovic P Ahoua Alou 11   VIAFID ORCID Logo  ; Nombre Apollinaire 12   VIAFID ORCID Logo  ; Messenger, Louisa A 1   VIAFID ORCID Logo  ; Kristan, Mojca 1   VIAFID ORCID Logo  ; Carrasco-Escobar, Gabriel 13   VIAFID ORCID Logo  ; Fornace, Kimberly 14   VIAFID ORCID Logo 

 Department of Disease Control, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK 
 Department of Disease Control, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK; Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK 
 Health Innovation Laboratory, Institute of Tropical Medicine “Alexander von Humboldt”, Universidad Peruana Cayetano Heredia, Lima, Peru; Laboratorio ICEMR-Amazonia, Laboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Peru 
 Institut Pierre Richet, Bouaké, Côte d’Ivoire; Laboratoire de génétique, Unité de Formation et de Recherche en Biosciences, Université Félix Houphouët Boigny, Abidjan, Côte d’Ivoire 
 Universidad Peruana Cayetano Heredia, Lima, Peru 
 Universidad de Ingenieria y Tecnología, Lima, Peru 
 Pontificia Universidad Católica Del Perú, Lima, Peru 
 Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK 
 Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK 
10  Department of Disease Control, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK; Institut Pierre Richet, Bouaké, Côte d’Ivoire 
11  Institut Pierre Richet, Bouaké, Côte d’Ivoire 
12  University of Ouagadougou, Ouagadougou, Burkina Faso 
13  Health Innovation Laboratory, Institute of Tropical Medicine “Alexander von Humboldt”, Universidad Peruana Cayetano Heredia, Lima, Peru; Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, USA 
14  Department of Disease Control, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK; Centre on Climate Change and Planetary Health, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK; Institute of Biodiversity, Animal Health & Comparative Medicine, University of Glasgow, Glasgow, UK 
Editor
Melissa Nolan
Publication year
2021
Publication date
2021
Publisher
John Wiley & Sons, Inc.
ISSN
16879805
e-ISSN
16879813
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2597347379
Copyright
Copyright © 2021 Isabel Byrne et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0/