Estimation of the Impact of Vaccination Intervention on Recovered Coronavirus Patients

J. S. Apanapudor, Ozioma Ogoegbulem, N. Okposo, Excellent Oghenevwairhe Ugbotu
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Abstract

This work estimated the impact of vaccination intervention on coronavirus patients who have recovered from the disease and the vulnerability index of the recovered population due to the impact of vaccine was also investigated. This work adopted a numerical solution to study the continuous dynamical system of linear first order differential equations describing a SEIR (Susceptible, Exposed, Infected, Recovered) model on the spread of Coronavirus Disease – 2019 (COVID-19). To tackle this problem, MATLAB ordinary differential equation of order 45 (ODE45) numerical method was adopted for the analysis. The vulnerability index of the recovered population was low due to the impact of vaccine meaning that the recovered population will gain immunity and they will not be re-infected. The study recommended that coronavirus patients who have recovered from the disease should ensure that they have vaccination administered to them to avoid re-occurrence of the virus attack as an intervention strategy. 
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估计疫苗接种干预对冠状病毒康复患者的影响
这项工作估算了疫苗接种干预对冠状病毒康复患者的影响,还调查了康复人群因疫苗影响而产生的脆弱性指数。这项工作采用数值解法来研究描述冠状病毒病-2019(COVID-19)传播的 SEIR(易感者、暴露者、感染者、康复者)模型的线性一阶微分方程连续动态系统。为解决这一问题,采用了 MATLAB 45 阶常微分方程(ODE45)数值方法进行分析。由于疫苗的影响,康复人群的易感指数较低,这意味着康复人群将获得免疫力,不会再次感染。研究建议,冠状病毒患者在康复后应确保接种疫苗,以避免再次发生病毒感染,以此作为一种干预策略。
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