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Evolution Model and Simulation Study of the Public Risk Perception of COVID-19

Author

Listed:
  • Ao Zhang

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

  • Hao Yang

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

  • Zhenlei Tian

    (School of Engineering and Technology, China University of Geosciences (Beijing), Beijing 100083, China)

  • Shuning Tong

    (Emergency Management Department of Xinjiang Uygur Autonomous Region, Urumqi 830011, China)

Abstract

The evolution of the public perception of the risk in public health emergencies is closely related to risk response behavior. There are few systematic explanations and empirical studies on how the individual receiving the risk information affects the change in the individual risk perception through internal mechanisms in the context of COVID-19. Based on the understanding of the existing research, this paper constructs the evolution model of the public risk perception level based on the limited memory theory and a simulation analysis is performed. The results are as follows: memory rate, association rate, information reception and information stimulation in a single period of time have significant indigenous effects on the risk perception; when the amount of information received and the information stimulus remain unchanged, the public’s risk perception follows a monotonic upward trend, but there is an upper limit function, and the upper limit is determined by the memory rate and association rate, and the influence of the association rate is higher than that of the memory rate; When the amount of information received and the information stimulus changes, the public’s risk perception will also change, and there is a lag effect, which is determined by the memory rate. The impact of the acceptance of the information on the risk perception is greater than that of the information stimulus.

Suggested Citation

  • Ao Zhang & Hao Yang & Zhenlei Tian & Shuning Tong, 2022. "Evolution Model and Simulation Study of the Public Risk Perception of COVID-19," IJERPH, MDPI, vol. 19(18), pages 1-29, September.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:18:p:11581-:d:914724
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    References listed on IDEAS

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    1. Paul Slovic & Baruch Fischhoff & Sarah Lichtenstein, 1982. "Why Study Risk Perception?," Risk Analysis, John Wiley & Sons, vol. 2(2), pages 83-93, June.
    2. Yianis Sarafidis, 2007. "What Have you Done for me Lately? Release of Information and Strategic Manipulation of Memories," Economic Journal, Royal Economic Society, vol. 117(518), pages 307-326, March.
    3. Michael K. Lindell & Ronald W. Perry, 2012. "The Protective Action Decision Model: Theoretical Modifications and Additional Evidence," Risk Analysis, John Wiley & Sons, vol. 32(4), pages 616-632, April.
    4. Sendhil Mullainathan, 2002. "A Memory-Based Model of Bounded Rationality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 117(3), pages 735-774.
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