Research progress of digital twin technology in tuberculosis prevention and control

doi:10.19982/j.issn.1000-6621.20260002

Abstract

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

CLC Number:

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

Figures/Tables 1

References 55

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