{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T23:32:59Z","timestamp":1785108779291,"version":"3.55.0"},"reference-count":30,"publisher":"PAGEPress Publications","issue":"1","license":[{"start":{"date-parts":[[2020,6,17]],"date-time":"2020-06-17T00:00:00Z","timestamp":1592352000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Geospat Health"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.4081\/gh.2020.810","type":"journal-article","created":{"date-parts":[[2020,6,18]],"date-time":"2020-06-18T04:47:33Z","timestamp":1592455653000},"source":"Crossref","is-referenced-by-count":11,"title":["Choice of unmanned aerial vehicles for identification of mosquito breeding sites"],"prefix":"10.4081","volume":"15","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5813-6689","authenticated-orcid":false,"given":"Franciely Velozo","family":"Arag\u00e3o","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6412-0795","authenticated-orcid":false,"given":"Fernanda","family":"Cavicchioli Zola","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5813-6689","authenticated-orcid":false,"given":"Luis Henrique","family":"Nogueira Marinho","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9088-406X","authenticated-orcid":false,"given":"Daiane Maria","family":"De Genaro Chiroli","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9388-3073","authenticated-orcid":false,"given":"Aldo","family":"Braghini Junior","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0759-568X","authenticated-orcid":false,"given":"Jo\u00e3o Carlos","family":"Colmenero","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2549","published-online":{"date-parts":[[2020,6,17]]},"reference":[{"key":"2303","doi-asserted-by":"crossref","unstructured":"Bhatt, S., Gething, P. W., Brady, O. J., Messina, J. P., Farlow, A. W., Moyes, C. L., ... & Myers, M. F. The global distribution and burden of dengue. Nature. 2013, 496(7446), 504. https:\/\/doi.org\/10.1038\/nature12060","DOI":"10.1038\/nature12060"},{"key":"2304","doi-asserted-by":"crossref","unstructured":"Liu-Helmersson, J., Rockl\u00f6v, J., Sewe, M., & Br\u00e4nnstr\u00f6m, \u00c5.. Climate change may enable Aedes aegypti infestation in major European cities by 2100. Environmental research. 2019. 172, 693-699. https:\/\/doi.org\/10.1016\/j.envres.2019.02.026","DOI":"10.1016\/j.envres.2019.02.026"},{"key":"2305","unstructured":"World Health Organization (WHO). WHAT is dengue and how is it treated?. http:\/\/www.who.int\/features\/qa\/54\/en\/. Accessed May 2018."},{"key":"2306","doi-asserted-by":"crossref","unstructured":"Ferreira, A. C., Chiaravalloti, F., & Mondini, A.. Dengue em Araraquara, SP: epidemiologia, clima e infesta\u00e7\u00e3o por Aedes aegypti. Rev. Sa\u00fade P\u00fablica. 2018, 52. https:\/\/doi.org\/10.11606\/S1518-8787.2018052000414","DOI":"10.11606\/S1518-8787.2018052000414"},{"key":"2307","doi-asserted-by":"crossref","unstructured":"Espinosa, M. O., Polop, F., Rotela, C. H., Abril, M., & Scavuzzo, C. M. (2016). Spatial pattern evolution of Aedes aegypti breeding sites in an Argentinean city without a dengue vector control programme. Geospatial health. DOI: https:\/\/doi.org\/10.4081\/gh.2016.471","DOI":"10.4081\/gh.2016.471"},{"key":"2308","doi-asserted-by":"crossref","unstructured":"Khormi, H. M., & Kumar, L. (2012). Assessing the risk for dengue fever based on socioeconomic and environmental variables in a geographical information system environment. Geospatial health, 6(2), 171-176. DOI: https:\/\/doi.org\/10.4081\/gh.2012.135","DOI":"10.4081\/gh.2012.135"},{"key":"2309","doi-asserted-by":"crossref","unstructured":"Brown, J. E., Evans, B. R., Zheng, W., Obas, V., Barrera\u2010Martinez, L., Egizi, A., ... & Powell, J. R.. Human impacts have shaped historical and recent evolution in Aedes aegypti, the dengue and yellow fever mosquito. Evolution. 2014. 68(2), 514-525. https:\/\/doi.org\/10.1111\/evo.12281","DOI":"10.1111\/evo.12281"},{"key":"2310","doi-asserted-by":"crossref","unstructured":"Gloria\u2010Soria, A., Ayala, D., Bheecarry, A., Calderon\u2010Arguedas, O., Chadee, D. D., Chiappero, M., ... & Kamgang, B.. Global genetic diversity of Aedes aegypti. Molecular ecology. 2016, 25(21), 5377-5395. DOI: https:\/\/doi.org\/10.1111\/mec.13866","DOI":"10.1111\/mec.13866"},{"key":"2311","doi-asserted-by":"crossref","unstructured":"Khormi, H. M., & Kumar, L.. Climate change and the potential global distribution of Aedes aegypti: spatial modelling using geographical information system and CLIMEX. Geospatial health. 2014, 405-415. https:\/\/doi.org\/10.1111\/mec.13866","DOI":"10.1111\/mec.13866"},{"key":"2312","doi-asserted-by":"crossref","unstructured":"Donalisio, M. R., Freitas, A. R. R., & Zuben, A. P. B. V.. Arboviruses emerging in Brazil: challenges for clinic and implications for public health. Revista de Sa\u00fade P\u00fablica. 2017, 51, 30. http:\/\/dx.doi.org\/10.1590\/s1518-8787.2017051006889","DOI":"10.1590\/s1518-8787.2017051006889"},{"key":"2313","doi-asserted-by":"crossref","unstructured":"Sarfraz, M. S., Tripathi, N. K., Faruque, F. S., Bajwa, U. I., Kitamoto, A., & Souris, M. (2014). Mapping urban and peri-urban breeding habitats of Aedes mosquitoes using a fuzzy analytical hierarchical process based on climatic and physical parameters. Geospatial health, S685-S697. https:\/\/doi.org\/10.4081\/gh.2014.297","DOI":"10.4081\/gh.2014.297"},{"key":"2314","doi-asserted-by":"crossref","unstructured":"Liu, B., Gao, X., Ma, J., Jiao, Z., Xiao, J., Hayat, M. A., & Wang, H.. Modeling the present and future distribution of arbovirus vectors Aedes aegypti and Aedes albopictus under climate change scenarios in Mainland China. Science of The Total Environment. 2019, 664, 203-214. https:\/\/doi.org\/10.1016\/j.scitotenv.2019.01.301","DOI":"10.1016\/j.scitotenv.2019.01.301"},{"key":"2315","doi-asserted-by":"crossref","unstructured":"Madariaga, M., Ticona, E., & Resurrecion, C.. Chikungunya: bending over the Americas and the rest of the world. Brazilian Journal of Infectious Diseases. 2016 20(1), 91-98. http:\/\/dx.doi.org\/10.1016\/j.bjid.2015.10.004","DOI":"10.1016\/j.bjid.2015.10.004"},{"key":"2316","doi-asserted-by":"crossref","unstructured":"Carvalho, S., Magalh\u00e3es, M.D.A.F.M., & Medronho, R.D.A. An\u00e1lise da distribui\u00e7\u00e3o espacial de casos da dengue no munic\u00edpio do Rio de Janeiro, 2011 e 2012. Rev. Sa\u00fade P\u00fablica. 2017, 51. https:\/\/doi.org\/10.11606\/s1518-8787.2017051006239","DOI":"10.11606\/s1518-8787.2017051006239"},{"key":"2317","doi-asserted-by":"crossref","unstructured":"Maitra, A., Cunha-Machado, A. S., de Souza Leandro, A., da Costa, F. M., & Scarpassa, V. M.. Exploring deeper genetic structures: Aedes aegypti in Brazil. Acta Tropica. 2019, 195, 68-77. https:\/\/doi.org\/10.1016\/j.actatropica.2019.04.027","DOI":"10.1016\/j.actatropica.2019.04.027"},{"key":"2318","doi-asserted-by":"crossref","unstructured":"Machault, V., Vignolles, C., Borchi, F., Vounatsou, P., Pages, F., Briolant, S., ... & Rogier, C.. The use of remotely sensed environmental data in the study of malaria. Geospatial Health. 2011, 151-168. https:\/\/doi.org\/10.4081\/gh.2011.167","DOI":"10.4081\/gh.2011.167"},{"key":"2319","doi-asserted-by":"crossref","unstructured":"Hay, S. I., George, D. B., Moyes, C. L., & Brownstein, J. S.. Big data opportunities for global infectious disease surveillance. PLoS Medicine. 2013, 10(4), e1001413. https:\/\/doi.org\/10.1371\/journal.pmed.1001413","DOI":"10.1371\/journal.pmed.1001413"},{"key":"2320","doi-asserted-by":"crossref","unstructured":"Turner, D., Lucieer, A., & de Jong, S.. Time series analysis of landslide dynamics using an unmanned aerial vehicle (UAV). Remote Sensing. 2015, 7(2), 1736-1757. https:\/\/doi.org\/10.3390\/rs70201736","DOI":"10.3390\/rs70201736"},{"key":"2321","doi-asserted-by":"crossref","unstructured":"Amarasinghe, A., Suduwella, C., Niroshan, L., Elvitigala, C., De Zoysa, K., & Keppetiyagama, C.. Suppressing dengue via a drone system. In 2017 Seventeenth International Conference on Advances in ICT for Emerging Regions (ICTer). 2017, (pp. 1-7). IEEE.","DOI":"10.1109\/ICTER.2017.8257797"},{"key":"2322","doi-asserted-by":"crossref","unstructured":"Amenyo, J. T., Phelps, D., Oladipo, O., Sewovoe-Ekuoe, F., Jadoonanan, S., Jadoonanan, S., ... & Hossain, A.. MedizDroids Project: Ultra-low cost, low-altitude, affordable and sustainable UAV multicopter drones for mosquito vector control in malaria disease management. In IEEE Global Humanitarian Technology Conference (GHTC 2014). 2014, (pp. 590-596). IEEE. https:\/\/doi.org\/10.1109\/GHTC.2014.6970343","DOI":"10.1109\/GHTC.2014.6970343"},{"key":"2323","unstructured":"International Atomic Energy Agency (IAEA). IAEA Conducts Successful Test of Unmanned Aerial Vehicles in Fight Against Disease-Transmitting Mosquitos. https:\/\/www.iaea.org\/newscenter\/pressreleases\/iaea-conducts-successful-test-of-Unmanned Aerial Vehicles-in-fight-against-disease-transmitting-mosquitos. Accessed May 2018."},{"key":"2324","doi-asserted-by":"crossref","unstructured":"Saaty, T. L. The Analytic Network Process. 1 ed. McGraw Hill: New York, 1980.","DOI":"10.1007\/0-387-33987-6_1"},{"key":"2325","doi-asserted-by":"crossref","unstructured":"Zadeh, L.A. , (1965). Fuzzy sets. Information and control. Inf. Control, 8 (3) (1965), pp. 338-353","DOI":"10.1016\/S0019-9958(65)90241-X"},{"key":"2326","unstructured":"Sousa, C. A. D., Duarte, P. S., & Pereira, J. C. R.. L\u00f3gica fuzzy e regress\u00e3o log\u00edstica na decis\u00e3o para pr\u00e1tica de cintilografia das paratir\u00f3ides. Revista de Sa\u00fade P\u00fablica. 2006, 40, 898-906."},{"key":"2327","doi-asserted-by":"crossref","unstructured":"Chaves, L. E., Nascimento, L. F. C., & Rizol, P. M. S. R.. Modelo fuzzy para estimar o n\u00famero de interna\u00e7\u00f5es por asma e pneumonia sob os efeitos da polui\u00e7\u00e3o do ar. Revista de Sa\u00fade P\u00fablica. 2017, 51, 1-8. https:\/\/doi.org\/10.1590\/S1518-8787.2017051006501 1","DOI":"10.1590\/s1518-8787.2017051006501"},{"key":"2328","doi-asserted-by":"crossref","unstructured":"Chen, C. T.. Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets And Systems. 2000, 114(1), 1-9. https:\/\/doi.org\/10.1016\/S0165-0114(97)00377-1","DOI":"10.1016\/S0165-0114(97)00377-1"},{"key":"2329","doi-asserted-by":"crossref","unstructured":"Wolters, W. T. M., & Mareschal, B.. Novel types of sensitivity analysis for additive MCDM methods. European Journal of Operational Research. 1955, 81(2), 281-290. https:\/\/doi.org\/10.1016\/0377-2217(93)E0343-V","DOI":"10.1016\/0377-2217(93)E0343-V"},{"key":"2330","unstructured":"IBGE, 2010. IBGE \u2013 Instituto Brasileiro de Geografia Estat\u00edstica (2010). Panorama. https:\/\/cidades.ibge.gov.br\/brasil\/pr\/maringa\/panorama. Accessed March 2019."},{"key":"2331","unstructured":"Secretary of Health-Paran\u00e1, 2019. Boletim da dengue (2019). http:\/\/www.dengue.pr.gov.br\/modules\/conteudo\/conteudo.php?conteudo=28. Accessed Mach 2019."},{"key":"2332","unstructured":"SACDENGUE \u2013 Sistema de Alerta Clim\u00e1tico de Dengue. Climatic risk to development of breeding ground by Meteorological Stations (2019). http:\/\/www.terra.ufpr.br\/portal\/laboclima\/sacdengue\/. Accessed Mach 2019."}],"container-title":["Geospatial Health"],"original-title":[],"link":[{"URL":"https:\/\/geospatialhealth.net\/index.php\/gh\/article\/download\/810\/876","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/geospatialhealth.net\/index.php\/gh\/article\/download\/810\/895","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/geospatialhealth.net\/index.php\/gh\/article\/download\/810\/876","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,3,12]],"date-time":"2021-03-12T15:02:29Z","timestamp":1615561349000},"score":1,"resource":{"primary":{"URL":"https:\/\/geospatialhealth.net\/index.php\/gh\/article\/view\/810"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,17]]},"references-count":30,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2020,3,30]]}},"URL":"https:\/\/doi.org\/10.4081\/gh.2020.810","relation":{},"ISSN":["1970-7096","1827-1987"],"issn-type":[{"value":"1970-7096","type":"electronic"},{"value":"1827-1987","type":"print"}],"subject":[],"published":{"date-parts":[[2020,6,17]]}}}