传染病监测预警体系智慧化建设的特点、功能与实施策略  

Characteristics,functions,and implementation strategies of smart infectious disease surveillance and early warning systems

作　　者：霍大柱 张婷[2] 李中杰 刘珏[3] 方立群 兰亚佳[5] 叶楚楚[6] 范子亮 王丽萍[8] 杨维中 王辰[1] Huo Dazhu;Zhang Ting;Li Zhongjie;Liu Jue;Fang Liqun;Lan Yajia;Ye Chuchu;Fan Ziliang;Wang Liping;Yang Weizhong;Wang Chen(School of Health Policy and Management,Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing 100730,China;School of Population Medicine and Public Health,Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing 100730,China;Department of Epidemiology and Biostatistics,School of Public Health,Peking University,Beijing 100191,China;Institute of Microbiology and Epidemiology,Academy of Military Medical Sciences,Beijing 100071,China;West China School of Public Health,Sichuan University,Chengdu 610041,Sichuan,China;Department of Acute Infectious Disease Control and Prevention,Shanghai Pudong New Area Center for Disease Control and Prevention,Shanghai 200136,China;Department of Infectious Disease Control and Prevention,Weifang City Center for Disease Control and Prevention,Weifang 261061,Shandong,China;Division of Infectious Disease,National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases,Chinese Center for Disease Control and Prevention,Beijing 102206,China)

机构地区：[1]中国医学科学院北京协和医学院卫生健康管理政策学院,北京100730 [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,北京100730 [3]北京大学公共卫生学院流行病与卫生统计学系,北京100191 [4]军事医学研究院微生物流行病研究所,北京100071 [5]四川大学华西公共卫生学院,四川成都610041 [6]上海市浦东新区疾病预防控制中心急性传染病防治科,上海200136 [7]潍坊市疾病预防控制中心传染病防制科,山东潍坊261061 [8]中国疾病预防控制中心传染病管理处,传染病溯源预警与智能决策全国重点实验室,北京102206

出　　处：《疾病监测》2025年第1期16-22,共7页Disease Surveillance

基　　金：国家重点研发计划(No.2023YFC2308701);中国医学科学院医学与健康科技创新工程(No.2021-I2M-1-044,No.2023-I2M-3-011);北京市自然科学基金(No.L242053);山东省医药卫生科技项目(No.202312051481)。

摘　　要：本研究系统探讨总结了传染病监测预警体系智慧化建设的主要特点、关键功能、模式变革、价值意义及实施策略。研究表明,智慧化建设以体系整体性优化、数据驱动、新一代信息技术深度融合以及将城市作为建设基本单元为主要特点,应具备多源数据智能采集、多模态数据治理、多点触发智能预警、疫情趋势预测、智能辅助决策及可视化平台展示等六大关键功能,推动监测预警模式实现了从单一渠道到多源整合、从被动监测到主动感知、从“苗头”识别到风险预测以及从经验驱动到数据赋能的全面变革,并提出通过嵌入智慧城市治理框架、推动跨部门数据标准化治理、培养多学科交叉人才及强化数据安全与伦理保障等实施策略,为构建智慧高效、韧性可持续的传染病监测预警体系提供了理论指导。This study systematically summarizes the key characteristics,core functionalities,paradigm shifts,significance,and implementation strategies of smart infectious disease surveillance and early warning systems.The research identifies four key characteristics of smart construction:systemic optimization,data-driven approaches,deep integration of next-generation information technologies,and city-based implementation as the fundamental unit.The system is designed to perform six critical functions:intelligent multi-source data collection,multimodal data governance,multi-trigger early warning,epidemic trend forecasting,intelligent decision support,and visualization platform display.These features drive comprehensive transformations,including shifts from single to multi-source data,passive to active surveillance,early signal detection to risk-based assessment,and experience-driven to precision-based approaches.The study further proposes implementation strategies such as embedding the system into smart city governance frameworks,promoting cross-departmental data standardization,cultivating interdisciplinary talent,and strengthening data security and ethical safeguards.These insights provide theoretical guidance for developing smart,efficient,resilient,and sustainable infectious disease surveillance and early warning systems.

关 键 词：传染病 监测预警体系 智慧化 特点 功能 实施策略 

分 类 号：R211[医药卫生—中医学] R51