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作 者:中国医学科学院北京协和医学院群医学及公共卫生学院 北京大学公共卫生学院 中国疾病预防控制中心传染病管理处 四川大学华西公共卫生学院 中国科学院地理科学与资源研究所 首都医科大学附属北京地坛医院 中华医学会公共卫生分会 杨维中 刘珏[3] 李中杰 兰亚佳 叶楚楚[5] 廖一兰[6] 张婷[2] School of Population Medicine and Public Health,Chinese Academy of Medical Sciences and Peking Union Medical College;School of Public Health,Peking University;Department of Management on Infectious Diseases,Chinese Center for Disease Control and Prevention;West China School of Public Health,Sichuan University;Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences;Beijing Ditan Hospital,Capital Medical University;Society of Public Health,Chinese Medical Association;Yang Weizhong;Liu Jue;Li Zhongjie(不详;School of Population Medicine and Public Health,Chinese Academy of Medical Sciences and Peking Union Medical College Public Health Emergency Management Innovation Center,Beijing 100730,China;School of Public Health,Peking University,Beijing 100191,China)
机构地区:[1]不详 [2]中国医学科学院北京协和医学院群医学及公共卫生学院,公共卫生应急管理创新中心,北京100730 [3]北京大学公共卫生学院,北京100191 [4]四川大学华西公共卫生学院 [5]上海市浦东新区疾病预防控制中心急性传染病防治科 [6]中国科学院地理科学与资源研究所
出 处:《中华医学杂志》2024年第32期2995-3009,共15页National Medical Journal of China
基 金:中国医学科学院医学与健康科技创新工程(2021-I2M-1-044);国家重点研发计划(2023YFC2308701);中国医学科学院医学与健康科技创新工程(2023-I2M-3-011);国家自然科学基金(72122001)
摘 要:有效的传染病监测预警系统是公共卫生安全体系的重要组成部分,对预防与控制传染病暴发流行至关重要,提升监测预警能力是推动疾病预防控制事业高质量发展的当务之急。专家组结合公共卫生与预防医学、临床医学、管理学、数据科学、计算机科学等多学科专家的研究成果与实践经验,经过反复多轮专家研讨,形成了传染病多点触发智慧化监测预警系统关键技术专家共识。本共识内容主要包括传染病多点触发智慧化监测预警系统的相关概念和定义,关键技术框架,多渠道监测预警数据来源、获取与治理,预警方法分类,多点触发智慧化监测预警关键流程及路径,多点触发预警及综合研判,预警信号响应以及预警效果评价等方面,以期为传染病多点触发智慧化监测预警系统建设及应用提供技术参考。An effective infectious disease surveillance and early warning system is a crucial component of public health safety and is essential for preventing and controlling outbreaks of infectious diseases.Enhancing surveillance and early warning capabilities is an urgent priority for advancing high-quality disease prevention and control efforts.Combining the research findings and practical experiences of experts in epidemiology,clinical medicine,disease prevention and control,data science,and computer science,and following multiple rounds of expert discussions,we have developed a consensus on the key technologies for a multi-point trigger intelligent surveillance and early warning system for infectious diseases.This consensus primarily covers the related concepts and definitions of the multi-point trigger intelligent surveillance and early warning system for infectious diseases,the key technical framework,sources,acquisition,and governance of multi-channel warning data,classification of early warning methods,multi-point trigger intelligent surveillance and early warning paths,multi-point trigger warning and comprehensive assessment,response to warning signals,and evaluation of early warning effectiveness.It aims to provide technical references for the construction and application of a multi-point trigger intelligent surveillance and early warning system for infectious diseases.
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