ArticlePloS one2020
Game analysis on the evolution of COVID-19 epidemic under the prevention and control measures of the government.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Collaborative Governance Strategies for Fever Clinics: A Multi-Scenario Evolutionary Game Analysis.Risk management and healthcare policy · 2025Article
- Evolutionary game analysis of multiple subjects in the management of major public health emergencies.Heliyon · 2024Article
- Individual preferences, government policy, and COVID-19: A game-theoretic epidemiological analysis.Applied mathematical modelling · 2023Article
- Dynamic variations in and prediction of COVID-19 with omicron in the four first-tier cities of mainland China, Hong Kong, and Singapore.Frontiers in public health · 2023Article
- To isolate or not to isolate: the impact of changing behavior on COVID-19 transmission.BMC public health · 2022Article
- Herd Behaviors in Epidemics: A Dynamics-Coupled Evolutionary Games Approach.Dynamic games and applications · 2022Article
- Anatomy into the battle of supporting or opposing reopening amid the COVID-19 pandemic on Twitter: A temporal and spatial analysis.PloS one · 2021Article
- Target Groups for a Short Dexamethasone Course among Critically Ill COVID-19 Patients.Critical care research and practice · 2021Article
- How to Reach a Regional Cooperation Mechanism to Deal With the Epidemic: An Analysis From the Game Theory Perspective.Frontiers in public health · 2021Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this paper, the interaction strategies and the evolutionary game analysis of the actions taken by the government and the public in the early days of the epidemic are incorporated into the natural transmission mechanism model of the epidemic, and then the transmission frequency equations of COVID-19 epidemic is established. According to the cumulative confirmed cases of COVID-19 in the UK and China, the upper limit of the spread of COVID-19 in different evolutionary scenarios is set. Using SPSS to perform logistic curve fitting, the frequency fitting equations of cumulative confirmed cases under different evolution scenarios are obtained respectively. The analysis result shows that the emergency response strategy adopted by the government in the early days of the epidemic can effectively control the spread of the epidemic. Combined with the transmission frequency equation of COVID-19 epidemic, measures taken by the government are analyzed. The influence of each measure on the frequency variable is judged and then the influence on the spread of the epidemic is obtained. Finally, based on the above analysis, the government is advised to adhere to the principles of scientific, initiative and flexibility when facing major epidemics.
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