带有间接环境传播和优化控制的结核病模型分析

IF 1.8 4区 生物学 Q3 BIOPHYSICS
Xianyi Zhao, Hui Cao, Danfeng Pang
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引用次数: 0

摘要

本文通过建立 SEIRB 流行病模型,讨论了间接环境传播背景下结核病的动态行为。采用下一代矩阵方法计算了基本繁殖数。通过构建 Lyapunov 函数和应用拉萨尔不变性原理,证明了无病平衡和流行平衡的全局稳定性。结果表明,当基本繁殖数大于 1 时,结核病将在人群中传播。当基本繁殖数小于 1 时,结核病将消失。最后,利用扩展模型构建了一个最优控制问题,揭示了通过消除环境中的结核分枝杆菌并同时控制结核病患者,可以有效控制结核病的传播。数值示例结果表明了优化策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of tuberculosis model with indirect environmental transmission and optimal control

In this paper, the dynamic behaviors of tuberculosis in the context of indirect environmental transmission are discussed by establishing the SEIRB epidemic model. The basic reproduction number is computed by employing the next-generation matrix approach. The global stability of disease-free equilibrium and endemic equilibrium is proved by constructing the Lyapunov function and the application of LaSalle’s invariance principle. It shows that when the basic reproduction number is greater than 1, tuberculosis will spread among the population. When the basic reproduction number is less than 1, tuberculosis will disappear. Finally, an optimal control problem is constructed by using the extended model, which reveals the spread of tuberculosis can be effectively controlled by eliminating Mycobacterium tuberculosis in the environment and controlling tuberculosis patients at the same time. Numerical example results show the effectiveness of the optimization strategies.

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来源期刊
Journal of Biological Physics
Journal of Biological Physics 生物-生物物理
CiteScore
3.00
自引率
5.60%
发文量
20
审稿时长
>12 weeks
期刊介绍: Many physicists are turning their attention to domains that were not traditionally part of physics and are applying the sophisticated tools of theoretical, computational and experimental physics to investigate biological processes, systems and materials. The Journal of Biological Physics provides a medium where this growing community of scientists can publish its results and discuss its aims and methods. It welcomes papers which use the tools of physics in an innovative way to study biological problems, as well as research aimed at providing a better understanding of the physical principles underlying biological processes.
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