Fan G H, Zhang T, Lai S J, Feng L Z, Yang W Z
School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China State Key Laboratory of Respiratory Health and Multimorbidity, Beijing 100730, China Key Laboratory of Pathogen Infection Prevention and Control (Peking Union Medical College), Ministry of Education, Beijing 100730, China.
World Pop, School of Geography and Environmental Science, University of Southampton, Southampton SO17 1BJ, United Kingdom.
Zhonghua Liu Xing Bing Xue Za Zhi. 2023 Sep 10;44(9):1338-1343. doi: 10.3760/cma.j.cn112338-20230320-00159.
Intelligent syndromic surveillance is an important part of multi-point triggering and multi-channel surveillance system of intelligent early warning of infectious diseases in China, and an inevitable development process of traditional syndromic surveillance as the constant emergence of new technologies. Intelligent syndromic surveillance collects not only the medical data of patients seeking medical care in hospitals but also massive non-medical information. However, along with its rapid development, challenges in intelligent syndromic surveillance have emerged, such as information explosion, cost-effective balance, information sharing, data security and privacy. This paper summarizes the concept and development of intelligent syndromic surveillance to provide references for the method and technique development of intelligent early warning of infectious diseases and new thought for the prevention and control of infectious diseases in China and in the world.
智能症候群监测是中国传染病智能预警多点触发、多渠道监测系统的重要组成部分,是传统症候群监测随着新技术不断涌现而必然的发展过程。智能症候群监测不仅收集医院就诊患者的医疗数据,还收集海量非医疗信息。然而,随着其快速发展,智能症候群监测也出现了一些挑战,如信息爆炸、成本效益平衡、信息共享、数据安全与隐私等。本文总结智能症候群监测的概念与发展,为传染病智能预警的方法与技术发展提供参考,为中国乃至全球传染病防控提供新思路。