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Game analysis on the evolution of COVID-19 epidemic under the prevention and control measures of the government

机译:政府预防控制措施Covid-19流行病演变的博弈分析

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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.
机译:在本文中,互动策略和对政府和公众在疫情早期采取的行动的进化博弈分析纳入了流行病的自然传输机制模型,然后是covid的传输频率方程 - 建立了19个流行病。根据英国和中国的Covid-19累计证实案件,设定了不同进化场景的Covid-19传播的上限。使用SPSS执行逻辑曲线拟合,分别获得了不同演化场景下的累积确认病例的频率拟合方程。分析结果表明,政府在疫情的早期通过的应急响应策略可以有效地控制流行病的传播。结合Covid-19流行病的传输频率方程,分析了政府采取的措施。判断每种测量对频率变量的影响,然后获得对流行病的扩散的影响。最后,根据上述分析,建议政府遵守面临主要流行病的科学,倡议和灵活性原则。

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