2021
DOI: 10.3390/ijerph18168278
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Study on Multi-Agent Evolutionary Game of Emergency Management of Public Health Emergencies Based on Dynamic Rewards and Punishments

Abstract: In the context of public health emergency management, it is worth studying ways to mobilize the enthusiasm of government, community, and residents. This paper adopts the method of combining evolutionary game and system dynamics to conduct a theoretical modeling and simulation analysis on the interactions of the behavioral strategies of the three participants. In response to opportunistic behavior and inadequate supervision in the static reward and punishment mechanism, we introduced a dynamic reward and punish… Show more

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Cited by 40 publications
(31 citation statements)
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“…In terms of the study of the relationship between emergency subjects, the academic community is trying to explain the internal and external factors that affect the relationship interaction and strategy selection between emergency response organizations from the perspectives of reciprocity, reward, punishment, and third parties [41][42][43]. However, most existing studies regard relevant government departments with the same political intention and emergency target as a unified whole.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In terms of the study of the relationship between emergency subjects, the academic community is trying to explain the internal and external factors that affect the relationship interaction and strategy selection between emergency response organizations from the perspectives of reciprocity, reward, punishment, and third parties [41][42][43]. However, most existing studies regard relevant government departments with the same political intention and emergency target as a unified whole.…”
Section: Literature Reviewmentioning
confidence: 99%
“…In accordance with the research of Mubarak and Zin, tourism and mass religious gatherings (MRG) may pose significant public health risks in the case of cross-border and intro-community transmission of infection [ 10 ]. Fan et al established the SEIR dynamic model of COVID-19 epidemic with a latent period based on complex network theory [ 11 ]. At the same time, according to the relevant data of COVID-19 epidemic in China and some regions, they simulated the model parameters for different scenarios and predicted the inflection point of COVID-19 epidemic in three situations by setting three different virus latent periods.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Many scholars assume that in classical games of public health decision-making, especially in relation to early warning information management, participants do not always have symmetric information about an event and that most participants have bounded rationality [6][7][8][9]. erefore, evolutionary game theory is becoming an e ective tool for exploring public health early warning systems.…”
Section: Introductionmentioning
confidence: 99%