COVID-19数学模型近似解的计算

Andreas Eiman, Zakir Ullah, Naib UR Rahman, Farman Ullah
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引用次数: 1

摘要

在这项工作中,我们研究了一种改进的非感染和感染(SI)区隔的群体模型,以预测传染病COVID-19在巴基斯坦的传播。对于近似解,我们使用laplace - adomian分解法(LADM)。在此技术的帮助下,我们开发了一种算法来计算所提出问题的级数型解。我们计算了对应于不同隔间的几项近似解。在MATLAB的帮助下,我们还绘制了不同隔间的近似解的图形。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computation of approximate solution to COVID-19 mathematical model
In this work, we investigate a modified population model of non-infected and infected (SI) compartmentsto predict the spread of the infectious disease COVID-19 in Pakistan. For Approximate solution, we use LaplaceAdomian Decomposition Method (LADM). With the help of the said technique, we develop an algorithmto compute series type solution to the proposed problem. We compute few terms approximate solutionscorresponding to different compartment. With the help of MATLAB, we also plot our approximate solutionsfor different compartment graphically.
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