利用数学模型的计算模拟探索COVID - 19恢复后的各种长期副作用

Nidhi S. Vaishnaw, S. S. Narayan, Raghu N.
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引用次数: 0

摘要

covid - 19传播的数学建模和计算研究是当前的热门研究课题。尽管世界上一些国家的康复人口正在大幅增加,但正如各种调查和研究所揭示的那样,某些康复人群正面临严重的副作用。考虑脆弱人群、住院人群和康复人群,建立了一个常微分方程系统。设计了一个方程式来控制康复人群所经历的各种长期副作用,并与ODE系统相结合。对所得系统进行了数值求解,并讨论了可能的优化方法。©2022美国物理学会。版权所有。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploring various long-term side effects of COVID 19 after recovery using computational simulations of a mathematical model
Mathematical modeling and computational studies about the spread of covid 19 is the present trending research topic. Even though some of the countries around the globe are witnessing a great rise in the recovered population, a certain class of recovered people is facing serious side effects, as explored by various surveys and studies. A system of ordinary differential equations (ODE) is formulated by considering the vulnerable, hospitalized, and recovered population. An equation designed to govern various long-term side effects experienced by the recovered population is coupled with the ODE system. The resulting system is solved numerically and the possible optimization methods are discussed. © 2022 American Institute of Physics Inc.. All rights reserved.
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