Community acceptability of dengue fever surveillance using unmanned aerial vehicles: A cross-sectional study in Malaysia, Mexico, and Turkey

Esther Annan, Jinghui Guo, Aracely Angulo-Molina, Wan Fairos Wan Yaacob, Nasrin Aghamohammadi, Timothy C. Guetterman, Sare İlknur Yavaşoglu, Kevin Bardosh, Nazri Che Dom, Bingxin Zhao, Uriel A. Lopez-Lemus, Latifur Khan, Uyen Sa D.T. Nguyen, Ubydul Haque

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number102360
JournalTravel Medicine and Infectious Disease
Volume49
DOIs
StatePublished - 1 Sep 2022

Keywords

  • Aedes mosquito
  • Drones
  • Mobile app
  • Mosquito surveillance
  • Rapid alert system
  • Unmanned aerial vehicles

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