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Advancing adoptability and sustainability of digital prediction tools for climate-sensitive infectious disease prevention and control

Author

Listed:
  • Dung Phung

    (The University of Queensland
    The University of Queensland)

  • Felipe J. Colón-González

    (Data for Science and Health, Wellcome Trust)

  • Daniel M. Weinberger

    (Yale University)

  • Vinh Bui

    (Southern Cross University)

  • Son Nghiem

    (Australian National University)

  • Cordia Chu

    (Griffith University)

  • Hai Phung

    (Griffith University)

  • Nam Sinh Vu

    (National Institute of Hygiene and Epidemiology)

  • Quang-Van Doan

    (University of Tsukuba)

  • Masahiro Hashizume

    (The University of Tokyo)

  • Colleen L. Lau

    (The University of Queensland)

  • Simon Reid

    (The University of Queensland)

  • Lan Trong Phan

    (National Institute of Hygiene and Epidemiology)

  • Duong Nhu Tran

    (National Institute of Hygiene and Epidemiology)

  • Cong Tuan Pham

    (Griffith University)

  • Kien Quoc Do

    (The University of Queensland
    Pasteur Institute)

  • Robert Dubrow

    (Yale University)

Abstract

Few forecasting models have been translated into digital prediction tools for prevention and control of climate-sensitive infectious diseases. We propose a 3-U (useful, usable, and used) research framework for advancing the adoptability and sustainability of these tools. We make recommendations for 1) developing a tool with a high level of accuracy and sufficient lead time to permit effective proactive interventions (useful); 2) conducting a needs assessment to ensure that a tool meets the needs of end-users (usable); and 3) demonstrating the efficacy and cost-effectiveness of a tool to secure its adoption into routine surveillance and response systems (used).

Suggested Citation

  • Dung Phung & Felipe J. Colón-González & Daniel M. Weinberger & Vinh Bui & Son Nghiem & Cordia Chu & Hai Phung & Nam Sinh Vu & Quang-Van Doan & Masahiro Hashizume & Colleen L. Lau & Simon Reid & Lan Tr, 2025. "Advancing adoptability and sustainability of digital prediction tools for climate-sensitive infectious disease prevention and control," Nature Communications, Nature, vol. 16(1), pages 1-8, December.
    • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56826-6
    DOI: 10.1038/s41467-025-56826-6
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    References listed on IDEAS

    as
    1. Tamilmani, Kuttimani & Rana, Nripendra P. & Wamba, Samuel Fosso & Dwivedi, Rohita, 2021. "The extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A systematic literature review and theory evaluation," International Journal of Information Management, Elsevier, vol. 57(C).
    2. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    3. Matthew J Page & Joanne E McKenzie & Patrick M Bossuyt & Isabelle Boutron & Tammy C Hoffmann & Cynthia D Mulrow & Larissa Shamseer & Jennifer M Tetzlaff & Elie A Akl & Sue E Brennan & Roger Chou & Jul, 2021. "The PRISMA 2020 statement: An updated guideline for reporting systematic reviews," PLOS Medicine, Public Library of Science, vol. 18(3), pages 1-15, March.
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