Sun Huimin, Hu Weihua, Wei Yongyue, Hao Yuantao
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China.
China CDC Wkly. 2024 Oct 11;6(41):1065-1074. doi: 10.46234/ccdcw2024.220.
High-quality infectious disease surveillance systems are foundational to infectious disease prevention and control. Current major infectious disease surveillance systems globally can be categorized as either indicator-based, which are more specific, or event-based, which are more timely. Modern surveillance systems commonly utilize multi-source data, strengthened information sharing, advanced technology, and improved early warning accuracy and sensitivity. International experience may provide valuable insights for China. China's existing infectious disease surveillance systems require urgent enhancements to monitor emerging infectious diseases and improve the integration and learning capabilities of early warning models. Methods such as establishing multi-stage surveillance systems, promoting cross-sectoral and cross-provincial data sharing, applying advanced technologies like artificial intelligence, and cultivating professional talent should be adopted to enhance the development of intelligent and multipoint-triggered infectious disease surveillance systems in China.
高质量的传染病监测系统是传染病预防与控制的基础。当前全球主要的传染病监测系统可分为基于指标的监测系统(更具针对性)和基于事件的监测系统(更具及时性)。现代监测系统通常利用多源数据、加强信息共享、采用先进技术并提高早期预警的准确性和敏感性。国际经验可能为中国提供宝贵的见解。中国现有的传染病监测系统急需改进,以监测新发传染病,并提高早期预警模型的整合与学习能力。应采用建立多阶段监测系统、促进跨部门和跨省数据共享、应用人工智能等先进技术以及培养专业人才等方法,以推动中国智能型和多点触发式传染病监测系统的发展。