Mathematical Modeling and Analysis of Covid-19 Infection spreads in India with Restricted Optimal Treatment on Disease Incidence

Q2 Agricultural and Biological Sciences Biomath Pub Date : 2021-07-17 DOI:10.11145/J.BIOMATH.2021.06.147
Debkumar Pal, D. Ghosh, P. Santra, G. Mahapatra
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引用次数: 4

Abstract

This paper presents the current situation and how to minimize its effect in India through a mathematical model of infectious Coronavirus disease (COVID-19). This model consists of six compartments to population classes consisting of susceptible, exposed, home quarantined, government quarantined, infected individuals in treatment, and recovered class. The basic reproduction number is calculated, and the stabilities of the proposed model at the disease-free equilibrium and endemic equilibrium are observed. The next crucial treatment control of the Covid-19 epidemic model is presented in India's situation. An objective function is considered by incorporating the optimal infected individuals and the cost of necessary treatment. Finally, optimal control is achieved that minimizes our anticipated objective function. Numerical observations are presented utilizing MATLAB software to demonstrate the consistency of present-day representation from a realistic standpoint.
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新冠肺炎感染在印度传播的数学模型与分析
本文通过传染性冠状病毒疾病(新冠肺炎)的数学模型,介绍了印度的现状以及如何最大限度地减少其影响。该模型由六个分区组成,分为易感人群、暴露人群、居家隔离人群、政府隔离人群、接受治疗的感染者和康复人群。计算了基本繁殖数,并观察了所提出的模型在无病平衡和地方病平衡下的稳定性。新冠肺炎疫情模型的下一个关键治疗控制是在印度的情况下提出的。通过结合最佳感染者和必要治疗的成本来考虑目标函数。最后,实现了使我们预期的目标函数最小化的最优控制。利用MATLAB软件进行数值观测,从现实的角度证明了当前表示的一致性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Biomath
Biomath Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
2.20
自引率
0.00%
发文量
6
审稿时长
20 weeks
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