https://doi.org/10.4081/gh.2020.810

Choice of unmanned aerial vehicles for identification of mosquito breeding sites

Vol. 15 No. 1 (2020)
Submitted: 27 August 2019
Accepted: 12 April 2020
Published: 17 June 2020
Aedes Aegypti, Unmanned Aerial Vehicle, MCDM, Fuzzy Set Theory, Fuzzy TOPSIS, Brazil
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Authors

Franciely Velozo Aragão
fran-aragao@hotmail.com
https://orcid.org/0000-0001-5813-6689
Department of Industrial Engineering, Federal University of Technology (UTFPR), Paraná, Brazil.
Fernanda Cavicchioli Zola
https://orcid.org/0000-0002-6412-0795
Department of Industrial Engineering, Federal University of Technology (UTFPR), Paraná, Brazil.
Luis Henrique Nogueira Marinho
https://orcid.org/0000-0001-5813-6689
Department of Exact Sciences, Universidade Estadual de Londrina (UEL), Brazil.
Daiane Maria de Genaro Chiroli
https://orcid.org/0000-0002-9088-406X
Department of Industrial Engineering, Federal University of Technology (UTFPR), Paraná, Brazil.
Aldo Braghini Junior
https://orcid.org/0000-0001-9388-3073
Department of Industrial Engineering, Federal University of Technology (UTFPR), Paraná, Brazil.
João Carlos Colmenero
https://orcid.org/0000-0002-0759-568X
Department of Industrial Engineering, Federal University of Technology (UTFPR), Paraná, Brazil.

The disordered urban growth that may favour the emergence of the Aedes aegypti mosquito in cities is a problem of increasing magnitude in middle- and high-income countries in the tropical part of the world. Currently, the World Health Organization (WHO) considers the control and elimination of Ae. aegypti a world-wide high priority as it is the main vector of many rapidly spreading viral diseases, dengue in particular. A major difficulty in controlling the proliferation of this vector is associated with identification of the breeding sites. The use of Unmanned Aerial Vehicles (UAVs) can be an efficient alternative to manual search because of high mobility and the ability to overcome physical obstacles, particularly in urban areas where it can offer close-up images of potential breeding sites that are difficult to reach. The objective of this study was to find a way to select the most suitable UAV for the identification of Ae. aegypti habitats by providing images of potential mosquito breeding sites. This can be accomplished by a Multiple-Criteria Decision Method (MCDM) based on an Analytical Hierarchy Process (AHP) for the evaluation of weights of the criteria used for characterizing UAVs. The alternatives were analyzed and ranked using the Fuzzy Set Theory (FST) merged with the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The methodology is explained and discussed with respect to identification and selection of the most appropriate UAV for aerial mapping of Aedes breeding sites.

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Supporting Agencies

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - Brasil (CAPES).

How to Cite

Aragão, F. V., Cavicchioli Zola, F., Nogueira Marinho, L. H., de Genaro Chiroli, D. M., Braghini Junior, A., & Colmenero, J. C. (2020). Choice of unmanned aerial vehicles for identification of mosquito breeding sites. Geospatial Health, 15(1). https://doi.org/10.4081/gh.2020.810

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