非线性接触率、隔离率和疫苗接种率取决于媒体报道的 SSvEIQR 模型的动态分析

IF 2.4 3区 数学 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY International Journal of Biomathematics Pub Date : 2024-03-15 DOI:10.1142/s1793524524500116
Yantao Luo, Pengfei Liu, Tingting Zheng, Zhidong Teng
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引用次数: 0

摘要

在本文中,我们研究了一个由媒体报道驱动的具有非线性接触率、隔离率和接种率的 SSvEIQR 模型。首先,得出基本繁殖数 R0。当 R0≤1 时,通过构造适当的 Lyapunov 函数,可以得到无病平衡的全局稳定性;当 R0>1 时,将几何方法应用于四维系统,需要估计 6×6 矩阵的 Lozinskiǐ 量,从而得到证明流行平衡全局稳定性的充分条件。此外,我们还进行了一些数值模拟来验证我们的理论结果,并分析了媒体报道对疾病传播的影响,结果表明媒体报道可以有效抑制疾病的传播,减少感染个体的数量。最后,通过对 R0 的敏感性分析,我们得出了一些控制疾病传播的措施,如减少接触、加强隔离和接种疫苗等。
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Dynamic analysis of an SSvEIQR model with nonlinear contact rate, isolation rate and vaccination rate dependent on media coverage

In this paper, we study an SSvEIQR model with nonlinear contact rate, isolation rate and vaccination rate driven by media coverage. First, the basic reproduction number R0 is derived. Then, the threshold dynamics of the disease are obtained in terms of R0: when R01, the global stability of the disease-free equilibrium is obtained by constructing an appropriate Lyapunov function; when R0>1, the sufficient conditions to prove the globally stability of endemic equilibrium are obtained by applying the geometric method into the four-dimensional system, which needs to estimate the Lozinskiǐ measure of a 6×6 matrix. Further, we conduct some numerical simulations to validate our theoretical results, and analyze the impact of media coverage on disease transmission, the results show that media coverage could effectively suppress the spread of the disease and reduce the number of infected individuals. Finally, through the sensitivity analysis of R0, we obtain some measures to control the spread of the disease, such as reducing contact, strengthening isolation and vaccination.

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来源期刊
International Journal of Biomathematics
International Journal of Biomathematics MATHEMATICAL & COMPUTATIONAL BIOLOGY-
CiteScore
4.70
自引率
13.60%
发文量
820
审稿时长
7.5 months
期刊介绍: The goal of this journal is to present the latest achievements in biomathematics, facilitate international academic exchanges and promote the development of biomathematics. Its research fields include mathematical ecology, infectious disease dynamical system, biostatistics and bioinformatics. Only original papers will be considered. Submission of a manuscript indicates a tacit understanding that the paper is not actively under consideration for publication with other journals. As submission and reviewing processes are handled electronically whenever possible, the journal promises rapid publication of articles. The International Journal of Biomathematics is published bimonthly.
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