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Swarming remote piloted aircraft systems for mosquito-borne disease research and control

Published: 27 May 2018 Publication History

Abstract

Small Unmanned Aircraft Systems (sUAS) are an emerging application area for many industries including surveillance, agriculture monitoring, and vector-borne disease control. With drastically lower costs and increasing performance and autonomy, future application evolution will more than likely include the use of sUAS swarms. Several largely successful experiments in recent years, using off the shelf sUAS, have been conducted to address the long standing challenge of controlling and monitoring vector-borne diseases. In this paper we build on lessons learned from these prior efforts, and discuss ways in which swarms of sUAS could be deployed to place and monitor Autocidal Gravid Ovitraps for reducing the mosquito population.

References

[1]
Federal Aviation Administration. 2016. Advisory Circular - sUAS Part 107. Technical Report January. U.S Department of Transport.
[2]
Aaron T Becker, Mustapha Debboun, Sándor P Fekete, Dominik Krupke, and An Nguyen. 2017. Zapping Zika with a Mosquito-Managing Drone: Computing Optimal Flight Patterns with Minimum Turn Cost. 62 (2017), 1--5.
[3]
Jane Cleland-Huang, Michael Vierhauser, and Sean Bayley. 2018. Dronology: An Incubator for Cyber-Physical Systems Research. In Int'l Conf. on Software Engineering: New Ideas and Emerging Results Track (accepted for publication).
[4]
Brian J. Johnson, Scott A. Ritchie, and Dina M. Fonseca. 2017. The State of the Art of Lethal Oviposition Trap-Based Mass Interventions for Arboviral Control. In Insects.
[5]
Acevedo V Lorenzi OD, Major C. 2016. Reduced Incidence of Chikungunya Virus Infection in Communities with Ongoing Aedes Aegypti Mosquito Trap Intervention Studies - Salinas and Guayama, Puerto Rico, November 2015 - February 2016. Technical Report. Centres for Disease Control and Prevention.
[6]
World Health Organization. 2017. Vector-borne diseases, http://www.who.int/mediacentre/factsheets/fs387/en/. (2017).
[7]
World Health Organization et al. 2014. A global brief on vector-borne diseases. (2014).
[8]
Chathura Suduwella, Akarshani Amarasinghe, Lasith Niroshan, Charith Elvitigala, Kasun De Zoysa, and Chamath Keppetiyagama. 2017. Identifying Mosquito Breeding Sites via Drone Images. In Proc. of the 3rd WS on Micro Aerial Vehicle Networks, Systems, and Applications. ACM, 27--30.

Cited By

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  • (2024)A CONCEPTUAL FRAMEWORK FOR ASSESSING THE FIELD EFFICIENCY OF DRONES IN IDENTIFYING POTENTIAL BREEDING SITES OF THE Aedes MOSQUITOALAM CIPTA International Journal Of Sustainable Tropical Design & Practice10.47836/AC.17.1.PAPER0617:1(49-56)Online publication date: 25-May-2024

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  1. Swarming remote piloted aircraft systems for mosquito-borne disease research and control

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    Information & Contributors

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    Published In

    cover image ACM Conferences
    ICSE '18: Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings
    May 2018
    231 pages
    ISBN:9781450356633
    DOI:10.1145/3183440
    • Conference Chair:
    • Michel Chaudron,
    • General Chair:
    • Ivica Crnkovic,
    • Program Chairs:
    • Marsha Chechik,
    • Mark Harman
    Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 27 May 2018

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    Author Tags

    1. AOG
    2. RPAS
    3. UAS
    4. UAV
    5. drone
    6. mosquitoes

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    • Poster

    Funding Sources

    • DDDAS Program of the US Air Force Office of Scientific Research

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    ICSE '18
    Sponsor:

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    Overall Acceptance Rate 276 of 1,856 submissions, 15%

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    ICSE 2025

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    View all
    • (2024)A CONCEPTUAL FRAMEWORK FOR ASSESSING THE FIELD EFFICIENCY OF DRONES IN IDENTIFYING POTENTIAL BREEDING SITES OF THE Aedes MOSQUITOALAM CIPTA International Journal Of Sustainable Tropical Design & Practice10.47836/AC.17.1.PAPER0617:1(49-56)Online publication date: 25-May-2024

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