Purpose

The purpose of this study is to obtain an analytical solution for a nonlinear system of the COVID-19 model for susceptible, exposed, infected, isolated and recovered.

Design/methodology/approach

The Laplace decomposition method and the differential transformation method are used.

Findings

The obtained analytical results are useful on two fronts: first, they would contribute to a better understanding of the dynamic spread of the COVID-19 disease and help prepare effective measures for prevention and control. Second, researchers would benefit from these results in modifying the model to study the effect of other parameters such as partial closure, awareness and vaccination of isolated groups on controlling the pandemic.

Originality/value

The approach presented is novel in its implementation of the nonlinear system of the COVID-19 model

中文翻译：

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非线性分数 COVID-19 模型的解

目的

本研究的目的是为易感、暴露、感染、隔离和恢复的 COVID-19 模型的非线性系统获得解析解。

设计/方法/途径

采用拉普拉斯分解法和微分变换法。

发现

获得的分析结果在两个方面都很有用：首先，它们将有助于更好地了解 COVID-19 疾病的动态传播，并有助于制定有效的预防和控制措施。其次，研究人员将从这些结果中受益，修改模型以研究其他参数（例如部分关闭、孤立群体的意识和疫苗接种）对控制大流行的影响。

原创性/价值

所提出的方法在实现 COVID-19 模型的非线性系统方面是新颖的