Acta mathematica scientia,Series B ›› 2026, Vol. 46 ›› Issue (1): 330-360.doi: 10.1007/s10473-026-0119-0

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DYNAMICAL ANALYSIS OF AN AGE-STRUCTURED TUBERCULOSIS MODEL DRIVEN BY THE NOVEL $M72/AS01_E$ VACCINE IN CONTAMINATED ENVIRONMENTS

Qian JIANG1, Zhijun LIU2,*, Lianwen WANG2   

  1. 1. School of Mathematics, Sichuan University, Chengdu 610064, China;
    2. School of Mathematics and Statistics, Hubei Minzu University, Enshi 445000, China
  • Received:2024-11-21 Revised:2025-01-06 Online:2026-01-25 Published:2026-05-22
  • Contact: * Zhijun LIU, E-mail: zjliu@hbmzu.edu.cn
  • About author:Qian JIANG, E-mail: jiangqian3987@163.com;Lianwen WANG, E-mail: wanglianwen1987@hotmail.com
  • Supported by:
    NSFC (12271147).

Abstract: To assess the effectiveness of vaccination in contaminated environments, this study introduces a modeling framework that encompasses two transmission routes, namely direct human-to-human contact and indirect human-to-environment contact, as well as the implementation of new $M72/AS01_E$ vaccine. Motivated by this, a coupled age-structured tuberculosis (TB) model is proposed. Its well-posedness requirement is verified using the integrated semigroup theory. Furthermore, this study presents a comprehensive analysis of threshold dynamics associated with the proposed model. Specifically, the global stability of the disease-free and positive steady states is demonstrated by employing Lyapunov functionals. Lastly, the effects of the vaccination with $M72/AS01_E$ and contaminated environments on TB control are numerically simulated. Experimental results indicate that high concentrations of Mycobacterium tuberculosis in contaminated environments may somewhat impede TB control efforts, but that large-scale deployment of new vaccine could significantly reduce the prevalence of TB.

Key words: tuberculosis model, age structure, contaminated environments, $M72/AS01_E$ vaccine, stability

CLC Number: 

  • 92D30
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