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Tripartite Evolutionary Game Model for Public Health Emergencies

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  • Zhiqi Xu
  • Yukun Cheng
  • Shuangliang Yao
  • Sundarapandian Vaidyanathan

Abstract

Public health emergencies are more related to the safety and health of the public. For the management of the public health emergencies, all parties’ cooperation is the key to preventing and controlling the emergencies. Based on the assumption of bounded rationality, we formulate a tripartite evolutionary game model, involving the local government, the enterprises, and the public, for the public health emergency, e.g., COVID-19. The evolutionary stable strategies under different conditions of the tripartite evolutionary game are explored, and the effect from different factors on the decision-makings of participants for public health emergencies is also analyzed. Numerical analysis results show that formulating reasonable subsidy measures, encouraging the participation of the public, and enforcing the punishment to enterprises for their negative behaviors can prompt three parties to cooperate in fighting against the epidemic. Our work enriches an understanding of the governance for the public health emergency and provides theoretical support for the local government and related participants to make proper decisions in public health emergencies.

Suggested Citation

  • Zhiqi Xu & Yukun Cheng & Shuangliang Yao & Sundarapandian Vaidyanathan, 2021. "Tripartite Evolutionary Game Model for Public Health Emergencies," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-14, May.
    • Handle: RePEc:hin:jnddns:6693597
    DOI: 10.1155/2021/6693597
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    Cited by:

    1. Zhou, Yuxun & Rahman, Mohammad Mafizur & Khanam, Rasheda & Taylor, Brad R., 2022. "The impact of penalty and subsidy mechanisms on the decisions of the government, businesses, and consumers during COVID-19 ——Tripartite evolutionary game theory analysis," Operations Research Perspectives, Elsevier, vol. 9(C).
    2. Shuwen Zhao & Guojian Ma & Juan Ding, 2023. "Symbiotic Mechanism of Multiple Subjects for the Resource-Based Disposal of Medical Waste in China in the Post-Pandemic Context," Sustainability, MDPI, vol. 15(1), pages 1-19, January.
    3. Zhang, Qinchunxue & Shu, Lan & Jiang, Bichuan, 2023. "Moran process in evolutionary game dynamics with interval payoffs and its application," Applied Mathematics and Computation, Elsevier, vol. 446(C).
    4. Fang Xu & Mengfan Yan & Lun Wang & Shaojian Qu, 2022. "The Robust Emergency Medical Facilities Location-Allocation Models under Uncertain Environment: A Hybrid Approach," Sustainability, MDPI, vol. 15(1), pages 1-23, December.

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