数字孪生技术在结核病防治中的研究进展

doi:10.19982/j.issn.1000-6621.20260002

中国防痨杂志 ›› 2026, Vol. 48 ›› Issue (5): 700-706.doi: 10.19982/j.issn.1000-6621.20260002

数字孪生技术在结核病防治中的研究进展

单立艳, 李龙芬, 李文明, 罗云, 张华杰, 王戈, 黄媛卿, 李姗, 吴华超, 施春晶(), 沈凌筠()

昆明市第三人民医院综合结核病科/云南省传染性疾病临床医学中心/昆明市非结核分枝杆菌病诊疗技术中心(2024-SW(技术)-11)/大理大学第六附属医院, 昆明 650041

收稿日期:2026-01-02 出版日期:2026-05-10 发布日期:2026-04-27
通信作者: 施春晶,沈凌筠 E-mail:673676553@qq.com;m18608770202@163.com
基金资助:
云南省临床医学中心科研项目(2024YNLCYXZX0207);昆明市卫生健康委员会科研课题项目(2025-03-08-018);昆明市卫生健康委员会科研课题项目(2025-03-08-022);昆明市科技局非资助类科研项目(2025-NS-015)

Research progress of digital twin technology in tuberculosis prevention and control

Shan Liyan, Li Longfen, Li Wenming, Luo Yun, Zhang Huajie, Wang Ge, Huang Yuanqing, Li Shan, Wu Huachao, Shi Chunjing(), Shen Lingjun()

Department of Integrated Tuberculosis, Kunming Third People’s Hospital/Yunnan Clinical Medical Center for Infectious Diseases/Kunming Diagnosis and Treatment Technology Center for Nontuberculous Mycobacterial Diseases (2024-SW(Technology)-11)/The Sixth Affiliated Hospital of Dali University, Kunming 650041, China

Received:2026-01-02 Online:2026-05-10 Published:2026-04-27
Contact: Shi Chunjing,Shen Lingjun E-mail:673676553@qq.com;m18608770202@163.com
Supported by:
Research Project of Yunnan Clinical Medical Center(2024YNLCYXZX0207);Scientific Research Project of Kunming Municipal Health Commission(2025-03-08-018);Scientific Research Project of Kunming Municipal Health Commission(2025-03-08-022);Unfunded Scientific Research Projects under Kunming Municipal Science and Technology Bureau(2025-NS-015)

摘要/Abstract

摘要：

数字孪生技术作为一项连接物理世界与数字世界的新型数字化技术,通过创建实时映射、动态交互的虚拟模型,为结核病防治提供了全新思路和方法。本文系统综述了数字孪生技术在结核病预测、诊断、治疗和全程管理中的研究进展,重点分析了其在疫情模拟与传播预测、个性化诊疗方案优化、患者依从性管理等方面的应用价值,并探讨了当前面临的数据集成、模型构建、隐私保护等技术挑战,对未来发展方向进行了展望,指出多模态数据融合、人工智能算法优化、多组学技术整合将是数字孪生技术在结核病防治领域的重要发展趋势。数字孪生技术的深入应用将有助于提升结核病防治的精准性和效率,为实现“终结结核病流行”战略目标提供技术支撑。

关键词: 数字孪生, 结核, 综合预防, 个人保健服务

Abstract:

As a new digital technology connecting the physical world and the digital world, digital twin technology provides new ideas and methods for tuberculosis prevention and control by creating a virtual model with real-time mapping and dynamic interaction. This paper systematically reviews the research progress of digital twin technology in the prediction, diagnosis, treatment and management of tuberculosis, focusing on its application value in epidemic simulation and transmission prediction, personalized diagnosis and treatment plan optimization, patient adherence management, etc., and discusses the current technical challenges such as data integration, model construction, and privacy protection. Finally, the future development direction is prospected, and it is pointed out that multimodal data fusion, artificial intelligence algorithm optimization, and multi-omics technology integration will be important development trends of digital twin technology in the field of tuberculosis prevention and control. The in-depth application of digital twin technology will help improve the accuracy and efficiency of tuberculosis prevention and control, and provide technical support for achieving the strategic goal of “ending the tuberculosis epidemic”.

Key words: Digital twin, Tuberculosis, Universal precautions, Personal health services

中图分类号:

单立艳, 李龙芬, 李文明, 罗云, 张华杰, 王戈, 黄媛卿, 李姗, 吴华超, 施春晶, 沈凌筠. 数字孪生技术在结核病防治中的研究进展[J]. 中国防痨杂志, 2026, 48(5): 700-706. doi: 10.19982/j.issn.1000-6621.20260002

Shan Liyan, Li Longfen, Li Wenming, Luo Yun, Zhang Huajie, Wang Ge, Huang Yuanqing, Li Shan, Wu Huachao, Shi Chunjing, Shen Lingjun. Research progress of digital twin technology in tuberculosis prevention and control[J]. Chinese Journal of Antituberculosis, 2026, 48(5): 700-706. doi: 10.19982/j.issn.1000-6621.20260002

图/表 1

参考文献 55

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数字孪生技术在结核病防治中的研究进展

Research progress of digital twin technology in tuberculosis prevention and control

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