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Decision Support Frameworks in Public Health Emergencies: A Systematic Review of Dynamic Models in Complex Contexts

Author

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  • Alex S. Príncipe

    (Oswaldo Cruz Foundation, Rio de Janeiro 21040-360, Brazil)

  • Aloísio S. N. Filho

    (Department of Management and Industrial Technology, SENAI CIMATEC University Center, Salvador 41650-010, Brazil)

  • Bruna A. S. Machado

    (Department of Management and Industrial Technology, SENAI CIMATEC University Center, Salvador 41650-010, Brazil)

  • Josiane D. V. Barbosa

    (Department of Management and Industrial Technology, SENAI CIMATEC University Center, Salvador 41650-010, Brazil)

  • Ingrid Winkler

    (Department of Management and Industrial Technology, SENAI CIMATEC University Center, Salvador 41650-010, Brazil
    Institute for Science, Innovation and Technology in Industry 4.0/INCITE INDUSTRIA 4.0, Salvador 41650-010, Brazil)

  • Cristiano V. Ferreira

    (Technological Center of Joinville, Federal University of Santa Catarina, Joinville 89219-600, Brazil)

Abstract

Public health emergencies are extraordinary events of disease spread, with health, economic, and social consequences, which require coordinated actions by governments and society. This work aims to analyze scopes, application possibilities, challenges, and gaps of decision support frameworks in PHE management, using the components of the Health Emergency and Disaster Risk Management Framework (H-EDRM) and the Preparedness, Prevention, Response and Recovery Model (PPRR Model), providing guidelines for the development of new models. A systematic literature review was carried out using the Web of Science, Scopus, and Pubmed knowledge databases on studies published between 2016 and 2023, and thirty-six articles were selected. The outcomes show a concentration of frameworks on short-term emergency response operations, with a limited emphasis on the political and strategic components that drive actors and responsibilities. Management prioritizes monitoring, evaluation, and information management frameworks. However, the models need to overcome the challenges of multisectoral and interdisciplinary action, different levels of decisions and actors, data sharing, and development of common platforms of evidence for decisions fitted to the various emergencies.

Suggested Citation

  • Alex S. Príncipe & Aloísio S. N. Filho & Bruna A. S. Machado & Josiane D. V. Barbosa & Ingrid Winkler & Cristiano V. Ferreira, 2023. "Decision Support Frameworks in Public Health Emergencies: A Systematic Review of Dynamic Models in Complex Contexts," IJERPH, MDPI, vol. 20(17), pages 1-25, August.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:17:p:6685-:d:1229154
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    References listed on IDEAS

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    3. Hanyi Wang & Rahib Abiyev, 2022. "Grey Multiattribute Emergency Decision-Making Method for Public Health Emergencies Based on Cumulative Prospect Theory," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-10, May.
    4. Aline Dresch & Daniel Pacheco Lacerda & José Antônio Valle Antunes, 2015. "Design Science Research," Springer Books, in: Design Science Research, edition 127, chapter 0, pages 67-102, Springer.
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