| 标题： | 传染病多点触发智慧化预警系统关键技术专家共识 |
| title： | Expert Consensus on Key Technologies for Multi-point Triggered Intelligent Early Warning Systems for Infectious Diseases |
| 版本： | 原创版 |
| version： | Original |
| 分类： | 专家共识 |
| classification： | Experts consensus |
| 领域： | 综合 |
| field： | Comprehensive guideline |
| 国家和地区： | 中国 |
| Country and region： | China |
| 指南使用者： | 疾病预防控制工作者、传染病管理决策者、传染病监测预警研究者 |
| Guide users： | Disease prevention and control workers, infectious disease management decision-makers, and infectious disease surveillance and early warning researchers |
| 证据分级方法： | GRADE |
| Evidence grading method： | GRADE |
| 制定单位： | 中国医学科学院、北京大学、四川大学、中华预防医学会公共卫生监测专业委员会 |
| Formulating unit： | Chinese Academy of Medical Sciences, Peking University, Sichuan University, Public Health Surveillance Professional Committee of the Chinese Preventive Medicine Association |
| 注册时间： | 2024-05-23 |
| Registration time： | |
| 注册编号： | PREPARE-2024CN860 |
| Registration number： | |
| 指南制订的目的： | 传染病是全球的重大健康威胁，影响社会稳定与国家安全。有效的传染病监测预警系统是公共卫生安全的重要组成部分，对预防与控制传染病暴发流行至关重要。当前，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核心内容。基于上述背景，结合流行病学、临床医学、疾病预防与控制、数据科学、计算机科学等多学科专家根据多年实践经验，在广泛检索现有国内外相关研究文献、指南等资料基础上，经过反复轮专家研讨，最终形成传染病智慧化监测预警与多点触发系统建设专家共识。本共识内容主要包括：传染病多点触发智慧化预警系统相关概念定义、关键技术框架，多渠道预警数据来源、预警方法分类、多点触发智慧化预警路径、预警信号响应、预警效果评价几方面，以期为传染病多点触发智慧化预警系统关键技术及预警系统的平台建设提供参考依据。 |
| Purpose of the guideline： | Infectious diseases pose a significant global health threat, affecting social stability and national security. An effective infectious disease surveillance and early warning system is a crucial component of public health security and is essential for preventing and controlling outbreaks. Currently, enhancing surveillance and early warning capabilities is central to advancing high-quality development in disease prevention and control. Against this backdrop, multidisciplinary experts in epidemiology, clinical medicine, disease prevention and control, data science, and computer science have drawn on years of practical experience and conducted extensive reviews of existing domestic and international research, guidelines, and other materials. After repeated rounds of expert discussions, they have developed a consensus on the construction of intelligent surveillance and early warning systems with multi-point triggers for infectious diseases. The main content of this consensus includes the definition of related concepts for intelligent early warning systems with multi-point triggers for infectious diseases, a framework for key technologies, sources of multi-channel early warning data, classification of early warning methods, intelligent early warning pathways with multi-point triggers, response to early warning signals, and evaluation of early warning effectiveness. The aim is to provide a reference for the key technologies and platform construction of intelligent early warning systems with multi-point triggers for infectious diseases. |
