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A New Mathematical Modeling of the COVID-19 Pandemic Including the Vaccination Campaign

机译:Covid-19流行病的新数学建模,包括疫苗接种运动

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In a short time, many illustrative studies have been conducted on the mathematical modeling and analysis of COVID-19. There are not enough studies taking into account the vaccine campaign among these studies. In this context, a mathematical model is developed to reveal the effects of vaccine treatment, which has been performed recently, on COVID-19 in this study. In the proposed model, as well as the vaccinated individuals, a five-dimensional compartment system including the susceptible, infected, exposed and recovered population is constructed. Moreover, besides the positivity, existence and uniqueness of the solution, biologically feasible region are provided. The basic reproduction number known as expected secondary infection which means that expected infection among the susceptible populations caused by this infection is evaluated. In the numerical simulations, the parameter values taken from the literature and estimated are used to perform the solutions of the proposed model. Fourth-order Runge-Kutta numerical scheme is applied to obtain the results.
机译:在很短的时间,很多研究说明已经对COVID-19的数学建模和分析进行。没有足够的研究,考虑到这些研究中的疫苗运动。在此背景下,一个数学模型来揭示疫苗治疗,已在这项研究最近进行的,在COVID-19的效果。在该模型,以及被接种的个体,一个五维舱系统,包括易感,感染,暴露,恢复人口构成。此外,除了阳性,存在和溶液的独特性,提供了生物可行区域。被称为该装置不会产生起因于感染的易感人群中预期的感染被评估预期继发感染的基本再生数。在数值模拟中,取自文献和估计用于执行所提出的模型的解决方案的参数值。四阶龙格 - 库塔数值方案应用于获得的结果。

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