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Community acceptability of dengue fever surveillance using unmanned aerial vehicles: A cross-sectional study in Malaysia, Mexico, and Turkey.
Annan, Esther; Guo, Jinghui; Angulo-Molina, Aracely; Yaacob, Wan Fairos Wan; Aghamohammadi, Nasrin; C Guetterman, Timothy; Yavasoglu, Sare Ilknur; Bardosh, Kevin; Dom, Nazri Che; Zhao, Bingxin; Lopez-Lemus, Uriel A; Khan, Latifur; Nguyen, Uyen-Sa D T; Haque, Ubydul.
Afiliação
  • Annan E; Department of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, TX, 76107, USA. Electronic address: esther.annan@my.unthsc.edu.
  • Guo J; Department of Computer Science, The University of Texas at Dallas, Richardson, TX, 75080, USA.
  • Angulo-Molina A; Department of Chemical and Biological Sciences, University of Sonora, Hermosillo, 83000, Sonora, Mexico.
  • Yaacob WFW; Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Cawangan Kelantan, Kampus Kota Bharu, Lembah Sireh, 15050, Kota Bharu, Kelantan, Malaysia; Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Kompleks Al-Khawarizmi, Universiti Teknologi MARA, 40450, Shah Al
  • Aghamohammadi N; Centre for Epidemiology and Evidence-Based Practice, Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, 50603, Malaysia.
  • C Guetterman T; Department of Family Medicine, University of Michigan, Ann Arbor, MI, USA.
  • Yavasoglu SI; Department of Biology, Faculty of Science and Arts, Aydin Adnan Menderes University, Aydin, 09010, Turkey.
  • Bardosh K; Center for One Health Research, School of Public Health, University of Washington, USA.
  • Dom NC; Faculty of Health Sciences, Universiti Teknologi MARA Cawangan Selangor, Selangor, Malaysia.
  • Zhao B; Department of Statistics, Purdue University, 250 N. University St, West Lafayette, IN, 47907, USA.
  • Lopez-Lemus UA; Department of Health Sciences, Center for Biodefense and Global Infectious Diseases, Colima, 28078, Mexico.
  • Khan L; Department of Computer Science, The University of Texas at Dallas, Richardson, TX, 75080, USA.
  • Nguyen UDT; Department of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, TX, 76107, USA.
  • Haque U; Department of Biostatistics and Epidemiology, University of North Texas Health Science Center, Fort Worth, TX, 76107, USA.
Travel Med Infect Dis ; 49: 102360, 2022.
Article em En | MEDLINE | ID: mdl-35644475
ABSTRACT
Surveillance is a critical component of any dengue prevention and control program. There is an increasing effort to use drones in mosquito control surveillance. Due to the novelty of drones, data are scarce on the impact and acceptance of their use in the communities to collect health-related data. The use of drones raises concerns about the protection of human privacy. Here, we show how willingness to be trained and acceptance of drone use in tech-savvy communities can help further discussions in mosquito surveillance. A cross-sectional study was conducted in Malaysia, Mexico, and Turkey to assess knowledge of diseases caused by Aedes mosquitoes, perceptions about drone use for data collection, and acceptance of drones for Aedes mosquito surveillance around homes. Compared with people living in Turkey, Mexicans had 14.3 (p < 0.0001) times higher odds and Malaysians had 4.0 (p = 0.7030) times the odds of being willing to download a mosquito surveillance app. Compared to urban dwellers, rural dwellers had 1.56 times the odds of being willing to be trained. There is widespread community support for drone use in mosquito surveillance and this community buy-in suggests a potential for success in mosquito surveillance using drones. A successful surveillance and community engagement system may be used to monitor a variety of mosquito spp. Future research should include qualitative interview data to add context to these findings.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aedes / Dengue Tipo de estudo: Observational_studies / Prevalence_studies / Qualitative_research / Risk_factors_studies / Screening_studies Limite: Animals / Humans País/Região como assunto: Asia / Mexico Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aedes / Dengue Tipo de estudo: Observational_studies / Prevalence_studies / Qualitative_research / Risk_factors_studies / Screening_studies Limite: Animals / Humans País/Região como assunto: Asia / Mexico Idioma: En Ano de publicação: 2022 Tipo de documento: Article