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A dynamic optimal control model for COVID-19 and cholera co-infection in Yemen

机译:也门Covid-19和Cholera Co-Creation的动态最优控制模型

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In this work, we propose a new dynamic mathematical model framework governed by a system of differential equations that integrates both COVID-19 and cholera outbreaks. The estimations of the model parameters are based on the outbreaks of COVID-19 and cholera in Yemen from January 1, 2020 to May 30, 2020. Moreover, we present an optimal control model for minimizing both the number of infected people and the cost associated with each control. Four preventive measures are to be taken to control the outbreaks: social distancing, lockdown, the number of tests, and the number of chlorine water tablets (CWTs). Under the current conditions and resources available in Yemen, various policies are simulated to evaluate the optimal policy. The results obtained confirm that the policy of providing resources for the distribution of CWTs, providing sufficient resources for testing with an average social distancing, and quarantining of infected individuals has significant effects on flattening the epidemic curves.
机译:在这项工作中,我们提出了一种由一系列微分方程系统管理的新动态数学模型框架,这些框架整合了Covid-19和霍乱爆发。模型参数的估计基于2020年1月1日至5月30日的也门的Covid-19和霍乱的爆发。此外,我们提出了最佳控制模型,以尽量减少受感染者的数量和相关的成本每次控制。要采取四项预防措施来控制爆发:社会偏移,锁定,试验次数以及氯气片(CWTS)的数量。根据日本的当前条件和资源,模拟各种政策以评估最佳政策。获得的结果证实,为CWT分配提供资源的政策,为平均社会疏散和被感染的个体隔离提供了足够的资源,对流行病曲线进行了显着影响。

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