Mathematical analysis of an age structured epidemic model with a quarantine class

IF 2.6 4区 数学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Mathematical Modelling of Natural Phenomena Pub Date : 2021-10-07 DOI:10.1051/mmnp/2021049
B. Ainseba, T. Touaoula, Z. Sari
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Abstract

In this paper, an age structured epidemic Susceptible-Infected-Quarantined-Recovered-Infected (SIQRI) model is proposed, where we will focus on the role of individuals that leave their class of quarantine before being completely recovered and thus will participate again to the transmission of the disease. We investigate the asymptotic behavior of solutions by studying the stability of both trivial and positive equilibria. In order to see the impact of the different model parameters like the relapse rate on the qualitative behavior of our system, we firstly, give the explicit expression of the epidemic reproduction number $R_{0}.$ This number is a combination of the classical epidemic reproduction number for the SIQR model and a new epidemic reproduction number corresponding to the individuals infected by a relapsed person from the R-class. It is shown that, if $R_{0}\leq 1$, the disease free equilibrium is globally asymptotically stable and becomes unstable for $R_{0}>1$. Secondly, while $R_{0}>1$, a suitable Lyapunov functional is constructed to prove that the unique endemic equilibrium is globally asymptotically stable on some subset $\Omega_{0}.$
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具有隔离类的年龄结构流行病模型的数学分析
在本文中,提出了一个年龄结构的流行病易感性感染者隔离康复感染者(SIQRI)模型,其中我们将重点关注在完全康复之前离开隔离级别的个人的作用,从而再次参与疾病的传播。我们通过研究平凡平衡点和正平衡点的稳定性来研究解的渐近行为。为了观察复发率等不同模型参数对系统定性行为的影响,我们首先给出了流行病繁殖数$R_{0}.$的显式表达式这个数字是SIQR模型的经典流行病繁殖数字和与被R类复发者感染的个体相对应的新流行病繁殖数字的组合。结果表明,如果$R_{0}\leq1$,则无病平衡是全局渐近稳定的,并且对于$R_{0}>1$是不稳定的。其次,当$R_{0}>1$时,构造了一个合适的Lyapunov泛函,证明了在某个子集$\Omega_{0}上唯一的地方性平衡是全局渐近稳定的$
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来源期刊
Mathematical Modelling of Natural Phenomena
Mathematical Modelling of Natural Phenomena MATHEMATICAL & COMPUTATIONAL BIOLOGY-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
5.20
自引率
0.00%
发文量
46
审稿时长
6-12 weeks
期刊介绍: The Mathematical Modelling of Natural Phenomena (MMNP) is an international research journal, which publishes top-level original and review papers, short communications and proceedings on mathematical modelling in biology, medicine, chemistry, physics, and other areas. The scope of the journal is devoted to mathematical modelling with sufficiently advanced model, and the works studying mainly the existence and stability of stationary points of ODE systems are not considered. The scope of the journal also includes applied mathematics and mathematical analysis in the context of its applications to the real world problems. The journal is essentially functioning on the basis of topical issues representing active areas of research. Each topical issue has its own editorial board. The authors are invited to submit papers to the announced issues or to suggest new issues. Journal publishes research articles and reviews within the whole field of mathematical modelling, and it will continue to provide information on the latest trends and developments in this ever-expanding subject.
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