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无标度网络上具有不完全疫苗接种的SIVS流行病模型的动力学分析与控制策略

Dynamical analysis and control strategies of an SIVS epidemic model with imperfect vaccination on scale-free networks.

作者信息

Lv Wei, Ke Qing, Li Kezan

机构信息

1Department of Mathematics, Shanghai University, Shanghai, 200444 China.

2Guangxi Key Laboratory of Cryptography and Information Security, School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, 541004 China.

出版信息

Nonlinear Dyn. 2020;99(2):1507-1523. doi: 10.1007/s11071-019-05371-1. Epub 2019 Nov 23.

Abstract

Vaccination is an effective method to prevent the spread of infectious diseases. In this paper, we develop an SIVS epidemic model with degree-related transmission rates and imperfect vaccination on scale-free networks. Firstly, we derive two threshold parameters and existence conditions of multiple endemic equilibria. Secondly, not only the global asymptotical stability of disease-free equilibrium and the persistence of the disease are derived, but also the global attractivity of the unique endemic equilibrium is proved using the monotone iterative technique. Thirdly, the effects of various immunization schemes including uniform immunization, targeted immunization and acquaintance immunization are studied, and the optimal vaccination strategy is analyzed by Pontryagin's maximum principle. Finally, we perform numerical simulations to verify these theoretical results.

摘要

接种疫苗是预防传染病传播的有效方法。在本文中,我们在无标度网络上建立了一个具有度相关传播率和不完全接种疫苗的SIVS流行病模型。首先,我们推导了两个阈值参数和多个地方病平衡点的存在条件。其次,不仅推导了无病平衡点的全局渐近稳定性和疾病的持续性,而且利用单调迭代技术证明了唯一地方病平衡点的全局吸引性。第三,研究了包括均匀免疫、靶向免疫和熟人免疫在内的各种免疫方案的效果,并通过庞特里亚金极大值原理分析了最优接种策略。最后,我们进行了数值模拟以验证这些理论结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b3f7/7089206/5b53df2611a6/11071_2019_5371_Fig1_HTML.jpg

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