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Assessing the Impact of Continuous Vaccination and Voluntary Isolation on the Dynamics of COVID-19: A Mathematical Optimal Control of SEIR Epidemic Model

机译:评估持续疫苗接种和自愿隔离对 COVID-19 动态的影响:SEIR 流行模型的数学最优控制

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摘要

In order to study the impact of continuous vaccination and voluntary isolation for the COVID-19, a susceptible-exposed-infected-recovered-quarantine-vaccines (SEIR-QV) model is proposed. A basic regeneration number R_0 is denned to determine the extinction or persistence of the disease. We numerically analyze the impact of key parameters based on actual parameters of COVID-19, such as the vaccination rate, population importation rate, and natural (or causal) mortality transmission rate on the dynamics of disease transmission. Then we obtain sensitivity indices of some parameters on R_0 by sensitivity analysis. Finally, the stability of the system and the effectiveness of the optimal control strategy are verified by numerical simulation.
机译:为了研究持续接种疫苗和自愿隔离对COVID-19的影响,提出了一种易感暴露-感染-康复-隔离疫苗(SEIR-QV)模型。一个基本的再生数R_0被否定以确定疾病的消退或持续存在。我们根据COVID-19的实际参数,如疫苗接种率、人口输入率和自然(或因果)死亡率传播率等关键参数对疾病传播动态的影响进行数值分析。然后,通过敏感性分析得到R_0上一些参数的敏感性指数。最后,通过数值仿真验证了系统的稳定性和最优控制策略的有效性。

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