论文标题
通过Adomian和Laplace-Adomian分解方法,具有重要动力学的易感感染的(SIR)流行模型的串联解决方案
Series solution of the Susceptible-Infected-Recovered (SIR) epidemic model with vital dynamics via the Adomian and Laplace-Adomian Decomposition Methods
论文作者
论文摘要
易感感染的(SIR)流行模型及其概括被广泛用于研究传染病的传播,以及理解流行病的动力学演化。从SIR类型模型中,仅具有重要动力学的模型具有精确的分析解决方案,可以以精确的参数形式获得。具有重要动力学的SIR模型,即基本SIR模型的最简单扩展,不承认解决方案的封闭形式表示。但是,为了进行比较,与重要动力学的SIR模型的时间演变的流行病学数据准确表示非常有用。在本文中,我们首先获得具有重要动力学的SIR模型的基本演化方程,该方程是由强烈的非线性二阶差分方程式给出的。然后,我们通过使用Adomian和Laplace-Adomian分解方法来求解模型的动力学演化方程,从而获得了模型解的串联表示。溶液以无限序列的形式表达。将具有重要动力学的SIR模型的时间演变的串联表示与模型的确切数值解决方案进行了比较,我们发现,至少对于特定的参数范围,ADOMIAN和LAPLACE-ADOMIAN半分析解决方案之间存在良好的一致性,仅包含少量项和数字结果。
The Susceptible-Infected-Recovered (SIR) epidemic model as well as its generalizations are extensively used for the study of the spread of infectious diseases, and for the understanding of the dynamical evolution of epidemics. From SIR type models only the model without vital dynamics has an exact analytic solution, which can be obtained in an exact parametric form. The SIR model with vital dynamics, the simplest extension of the basic SIR model, does not admit a closed form representation of the solution. However, in order to perform the comparison with the epidemiological data accurate representations of the time evolution of the SIR model with vital dynamics would be very useful. In the present paper, we obtain first the basic evolution equation of the SIR model with vital dynamics, which is given by a strongly nonlinear second order differential equation. Then we obtain a series representation of the solution of the model, by using the Adomian and Laplace-Adomian Decomposition Methods to solve the dynamical evolution equation of the model. The solutions are expressed in the form of infinite series. The series representations of the time evolution of the SIR model with vital dynamics are compared with the exact numerical solutions of the model, and we find that, at least for a specific range of parameters, there is a good agreement between the Adomian and Laplace-Adomian semianalytical solutions, containing only a small number of terms, and the numerical results.