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Epidemiological Modelling and Analysis of COVID-19 Pandemic with Treatment

机译:Covid-19大流行治疗的流行病学建模与分析

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In this paper, Mathematical Model of COVID-19 Pandemic is formulated and discussed. The positivity, boundedness, and existence of the solutions of the model equations are stated and proved. The Disease-free equilibrium point & endemic equilibrium points are identified. Stability Analysis of the model is done with the concept of Next generation matrix. we have investigated that Disease-free equilibrium point (DFEP) of the model is locally asymptotically stable if ++ & unstable if ++, The basic reproduction number (threshold value) R_0 is the largest eigen value in spectral radius matrix . Thus, eigen values of spectral radius Matrix are determined from the roots of characteristic polynomial equation, det[-I]=0, Hence, the basic reproduction number is R_0= / . It is shown that if reproduction number is less than one, then COVID-19 cases will be reduced in the community. However, if reproduction number is greater than one, then covid-19 continue to persist in the Community. Lastly, numerical simulations are done with DEDiscover 2.6.4. Software. It is observed that with Constant treatment, increase or decrease contact rate among persons leads great variation on the basic reproduction number which is directly implies that infection rate plays a vital role on decline or persistence of COVID-19 pandemic.
机译:本文制定和讨论了Covid-19流行病的数学模型。规定并证明了模型方程溶液的阳性,界限和存在。鉴定了无疾病平衡点和流动平衡点。模型的稳定性分析是用下一代矩阵的概念完成的。我们研究了模型的无疾病平衡点(DFEP)是局部渐近稳定的IF ++和不稳定如果> ++,基本再现号(阈值)R_0是频谱半径矩阵中的最大eIGEN值。因此,从特征多项式方程的根部确定光谱半径矩阵的特征值,因此,基本再现数是r_0 = /。结果表明,如果再现数量小于一个,则社区将减少Covid-19案例。但是,如果再现数量大于1,则Covid-19继续持续在社区中。最后,使用Dediscover 2.6.4完成数值模拟。软件。观察到,随着持续治疗,人们之间的持续治疗,增加或减少接触率导致基本繁殖数的巨大变化,即直接意味着感染率对Covid-19大流行的衰退或持续性起着至关重要的作用。

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