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The analysis of discrete-time epidemic model on networks with protective measures on game theory

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  • Zhang, Rongping
  • Liu, Maoxing
  • Xie, Boli

Abstract

Protective measures such as wearing mask, quarantine, hand washing and so on can prevent and control the spread of infectious diseases. In this paper, a discrete-time model on networks combines infectious diseases and protective measures is proposed. Protective measures include voluntary protective measures of susceptible individuals and compulsory protective measures of infected individuals. The epidemic threshold is obtained and the time series of optimal control probability of infected individuals are analyzed by optimal control theory. The results of optimal control are compared with other constant control and the influences of protective measures on infectious diseases are analyzed by simulations. The optimal control results indicate that the greater the control proportion of infected individuals, the greater the average social payoff. It is shown that increasing the effectiveness of protective measures could effectively control the spread of infectious diseases.

Suggested Citation

  • Zhang, Rongping & Liu, Maoxing & Xie, Boli, 2022. "The analysis of discrete-time epidemic model on networks with protective measures on game theory," Chaos, Solitons & Fractals, Elsevier, vol. 158(C).
    • Handle: RePEc:eee:chsofr:v:158:y:2022:i:c:s0960077922002399
    DOI: 10.1016/j.chaos.2022.112029
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    References listed on IDEAS

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    1. Timothy C Reluga, 2010. "Game Theory of Social Distancing in Response to an Epidemic," PLOS Computational Biology, Public Library of Science, vol. 6(5), pages 1-9, May.
    2. Amaral, Marco A. & Oliveira, Marcelo M. de & Javarone, Marco A., 2021. "An epidemiological model with voluntary quarantine strategies governed by evolutionary game dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    3. Alam, Muntasir & Ida, Yuki & Tanimoto, Jun, 2021. "Abrupt epidemic outbreak could be well tackled by multiple pre-emptive provisions-A game approach considering structured and unstructured populations," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    4. Wang, Huan & Ma, Chuang & Chen, Han-Shuang & Zhang, Hai-Feng, 2021. "Effects of asymptomatic infection and self-initiated awareness on the coupled disease-awareness dynamics in multiplex networks," Applied Mathematics and Computation, Elsevier, vol. 400(C).
    5. Wang, Xinyu & Jia, Danyang & Gao, Shupeng & Xia, Chengyi & Li, Xuelong & Wang, Zhen, 2020. "Vaccination behavior by coupling the epidemic spreading with the human decision under the game theory," Applied Mathematics and Computation, Elsevier, vol. 380(C).
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    1. Cui, Guang-Hai & Li, Jun-Li & Dong, Kun-Xiang & Jin, Xing & Yang, Hong-Yong & Wang, Zhen, 2024. "Influence of subsidy policies against insurances on controlling the propagation of epidemic security risks in networks," Applied Mathematics and Computation, Elsevier, vol. 476(C).

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