Chen Hechang, Yang Bo, Pei Hongbin, Liu Jiming
1College of Computer Science and TechnologyJilin UniversityChangchun130012China.
2Key Laboratory of Symbolic Computation and Knowledge Engineering, Ministry of EducationJilin UniversityChangchun130012China.
IEEE Access. 2018 Dec 24;7:2633-2642. doi: 10.1109/ACCESS.2018.2882915. eCollection 2019.
Contact tracking is one of the key technologies in prevention and control of infectious diseases. In the face of a sudden infectious disease outbreak, contact tracking systems can help medical professionals quickly locate and isolate infected persons and high-risk individuals, preventing further spread and a large-scale outbreak of infectious disease. Furthermore, the transmission networks of infectious diseases established using contact tracking technology can aid in the visualization of actual virus transmission paths, which enables simulations and predictions of the transmission process, assessment of the outbreak trend, and further development and deployment of more effective prevention and control strategies. Exploring effective contact tracking methods will be significant. Governments, academics, and industries have all given extensive attention to this goal. In this paper, we review the developments and challenges of current contact tracing technologies regarding individual and group contact from both static and dynamic perspectives, including static individual contact tracing, dynamic individual contact tracing, static group contact tracing, and dynamic group contact tracing. With the purpose of providing useful reference and inspiration for researchers and practitioners in related fields, directions in multi-view contact tracing, multi-scale contact tracing, and AI-based contact tracing are provided for next-generation technologies for epidemic prevention and control.
接触者追踪是传染病防控的关键技术之一。面对突发的传染病疫情，接触者追踪系统可帮助医疗专业人员迅速定位并隔离感染者及高风险人群，防止传染病进一步传播和大规模爆发。此外，利用接触者追踪技术建立的传染病传播网络有助于直观呈现实际的病毒传播路径，从而能够对传播过程进行模拟和预测、评估疫情趋势，并进一步制定和实施更有效的防控策略。探索有效的接触者追踪方法具有重要意义。政府、学术界和产业界都对这一目标给予了广泛关注。本文从静态和动态两个视角，回顾了当前个体和群体接触追踪技术的发展及挑战，包括静态个体接触追踪、动态个体接触追踪、静态群体接触追踪和动态群体接触追踪。为给相关领域的研究人员和从业者提供有益参考和启发，针对下一代疫情防控技术，给出了多视角接触追踪、多尺度接触追踪和基于人工智能的接触追踪等方面的发展方向。
