疫情模型的数学分析评估封锁对COVID-19的影响

Partha Karmakar, Krishna Pada Das, Satyajit Saha, Bhagabat Das, Rakesh Kumar
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引用次数: 0

摘要

Covid-19及其变种是全世界目睹的最严重的大流行。作为目前仍在持续的全球大流行的一部分,在210多个国家和地区记录了数千万例病例。本文提出了一个SEI数学模型来研究封锁对COVID-19传染病控制和传播的影响。流行病模型包含不断的招募,在潜伏期和感染期经历传染力。计算了平衡态。在一定条件下,利用常微分方程的稳定性理论,得到了无病平衡点和地方病平衡点的局部渐近稳定性和全局稳定性的结果。可以看出,当基本繁殖数达到一定时,动力系统稳定,疾病从系统中消失;当基本繁殖数达到一定时,疾病在动力系统中持续存在。此时,出现跨临界分岔。通过数值模拟验证了分析结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical analysis of epidemic model to assess the impact of lockdown on COVID-19
Covid-19 and its variants, have been a worst pandemic, the entire world has witnessed. Tens of millions of cases have been recorded in over 210 countries and territories as part of the ongoing global pandemic that is still going on today. In this paper, we propose a SEI mathematical model to investigate the impact of lockdown to the controlling and spreading of infectious disease COVID-19. The epidemic model incorporates constant recruitment, experiencing infectious force in the latent period and the infected period. The equilibrium states are computed. Under some conditions, results for local asymptotic stability and global stability of disease-free and endemic equilibrium are established by using the stability theory of ordinary differential equations. It is seen that when the basic reproduction number , the dynamical system is stable and diseases die out from the system and when , the disease persists in the dynamical system. When , trans critical bifurcation is appeared. The numerical simulations are carried out to validate the analytical results.
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