The dynamics of tuberculosis transmission model with different genders.

IF 1.8 4区 数学 Q3 ECOLOGY
Journal of Biological Dynamics Pub Date : 2024-12-01 Epub Date: 2024-09-06 DOI:10.1080/17513758.2024.2394665
Si Wang, Hui Cao
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引用次数: 0

Abstract

The dynamics of tuberculosis transmission model with different genders are to be established and studied. The basic regeneration numbers R0=RF+RM are to be defined, where RF and RM to be the basic reproduction number of tuberculosis transmission in female and male populations, respectively. The existence and global stability of the disease-free equilibrium was discussed when R0<1. The global dynamic behaviours of the corresponding limit system under some conditions are to be provided, including the existence, uniqueness, and global stability of the disease-free equilibrium and endemic equilibrium. The numerical simulation shows that the endemic equilibrium may be unique and stable when R0>1, and the system will undergo Hopf bifurcation based on some parameter values. Finally, we applied this model to analyse the transmission of tuberculosis in China, estimated the incidence of tuberculosis in China in 2035, and gave the conclusion that controlling the incidence of tuberculosis in male populations could better reduce the incidence of tuberculosis in China.

不同性别的结核病传播动态模型。
建立并研究不同性别的结核病传播动态模型。定义基本再生数 R0=RF+RM,其中 RF 和 RM 分别为结核病在雌性和雄性种群中传播的基本再生数。当 R01 时,讨论了无病平衡的存在性和全局稳定性。提供了相应极限系统在某些条件下的全局动力学行为,包括无病平衡和地方病平衡的存在性、唯一性和全局稳定性。数值模拟结果表明,当 R0>1 时,地方病平衡可能是唯一和稳定的,并且系统会根据某些参数值发生霍普夫分岔。最后,我们应用该模型分析了中国结核病的传播情况,估计了 2035 年中国结核病的发病率,并给出了控制男性人群结核病发病率可以更好地降低中国结核病发病率的结论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biological Dynamics
Journal of Biological Dynamics ECOLOGY-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.90
自引率
3.60%
发文量
28
审稿时长
33 weeks
期刊介绍: Journal of Biological Dynamics, an open access journal, publishes state of the art papers dealing with the analysis of dynamic models that arise from biological processes. The Journal focuses on dynamic phenomena at scales ranging from the level of individual organisms to that of populations, communities, and ecosystems in the fields of ecology and evolutionary biology, population dynamics, epidemiology, immunology, neuroscience, environmental science, and animal behavior. Papers in other areas are acceptable at the editors’ discretion. In addition to papers that analyze original mathematical models and develop new theories and analytic methods, the Journal welcomes papers that connect mathematical modeling and analysis to experimental and observational data. The Journal also publishes short notes, expository and review articles, book reviews and a section on open problems.
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