结核病传播动力学模型研究进展
作者:
作者单位:

1.南通大学公共卫生学院流行病与卫生统计学系;2.南通大学附属医院感染科

作者简介:

通讯作者:

秦刚  E-mail: tonygqin@ntu.edu.cn

中图分类号:

R52

基金项目:


Research progress in transmission dynamics models of tuberculosis
Author:
Affiliation:

1.Department of Epidemiology and Health Statistics, School of Public Health, Nantong University, Nantong 226019, China;2.Department of Infection, Affiliated Hospital of Nantong University, Nantong 226001, China

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    摘要:

    结核病给全球带来了严重的疾病负担,结核病防控意义重大。近年来,新冠肺炎大流行严重破坏了全球结核病防治进程,再度引发对结核病防治工作的担忧。传播动力学模型能够较好地从宏观和微观角度揭示结核病传播规律及流行动态,并评估不同干预措施的防控效果,在结核病研究中发挥了重要作用。本文介绍五种结核病传播动力学模型:“仓室”模型、集合种群模型、智能体模型、网络模型和系统动力学模型,从而为结核病的防控和进一步研究提供参考和支持。

    Abstract:

    Tuberculosis (TB) imposes a significant disease burden globally, emphasizing the importance of TB prevention and control. In recent years, COVID-19 pandemic has severely disrupted the progress of global TB prevention and control programs, raising concerns about TB prevention and control. Transmission dynamics models have played a crucial role in TB research by providing insights into the patterns and dynamics of TB transmission from both macro and micro perspectives, and evaluating the effectiveness of various intervention measures. This review introduces five TB transmission dynamics models: the compartmental model, the metapopulation model, the agent-based model, the network model, and the phylodynamics model, providing reference and support for the prevention, control and further research of TB.

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引用本文

毛俊杰,庄勋.结核病传播动力学模型研究进展[J]. 中国感染控制杂志,2023,(7):864-868. DOI:10.12138/j. issn.1671-9638.20233381.
Jun-jie MAO, Xun ZHUANG. Research progress in transmission dynamics models of tuberculosis[J]. Chin J Infect Control, 2023,(7):864-868. DOI:10.12138/j. issn.1671-9638.20233381.

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  • 收稿日期:2022-09-19
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  • 在线发布日期: 2024-04-28
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