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重大突发传染病智能化主动监测预警系统设计研究

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建设智能化传染病主动监测预警系统是应对重大突发传染病疫情的必然要求、发展传染病监测预警技术的必然趋势、提高传染病监测预警能力的必然选择,提升重大突发传染病监测预警的科学性、及时性、准确性,需要智能化主动监测预警系统的支持.本文探讨了智能化传染病主动监测预警系统建设的必要性,系统梳理了国内外传染病监测预警系统建设现状和存在的问题;提出了重大突发传染病智能化主动监测预警系统的设计框架,涵盖多渠道主动监测、智能化早期预警、数据驱动的风险评估、智慧化处置与评估四大功能模块.在相关系统建设过程中,多源数据融合、智能早期预警、风险多维研判、智慧处置评估等关键技术攻关取得了一定进展,为系统构建和初步应用提供了坚实支撑.未来,需要多学科的协同合作来完善、维护和优化重大突发传染病智能化主动监测预警系统,为重大新发突发传染病防控提供更有效的手段,更好地预防和控制传染病的传播.
Design of an Intelligent Active Surveillance and Early Warning System for Infectious Diseases
Developing an intelligent active surveillance and early warning system for infectious diseases is crucial for responding to major infectious disease outbreaks,advancing surveillance technologies,and enhancing monitoring and warning capabilities.An intelligent active surveillance and early warning system is also essential for realizing the scientific,timely,and accurate monitoring and early warning of major infectious disease outbreaks.This study examines the necessity of establishing an intelligent active surveillance and early warning system for infectious diseases,outlines the current status and existing problems of infectious disease surveillance and early warning systems both in China and abroad,and proposes a design framework for the intelligent active surveillance and early warning system for infectious disease outbreaks.The proposed system encompasses four key functional modules:multi-channel active surveillance,intelligent early warning,data-driven risk assessment,and smart response and evaluation.Progress has been made in developing critical technologies such as multi-source data fusion,intelligent early warning,multidimensional risk assessment,and smart disposal evaluation,thus providing a solid technical foundation for the system's construction and application.In the future,continued multidisciplinary collaboration is required to progressively establish and optimize this system,and this system will provide more effective tools for preventing and controlling the spread of major and emerging infectious diseases.

infectious diseasesurveillance and early warning systemartificial intelligencebig datanatural language processing

刘民、梁万年、胡健、康良钰、景文展、蔡康宁、戚晓鹏、刘德兵、王全意

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北京大学公共卫生学院流行病与卫生统计学系,北京100191

清华大学万科公共卫生与健康学院,北京100084

清华大学健康中国研究院,北京100084

医渡云(北京)技术有限公司,北京100083

中国疾病预防控制中心,北京102206

北京智谱华章科技有限公司,北京100084

北京市疾病预防控制中心,北京100013

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传染病 监测预警系统 人工智能 大数据 自然语言处理

2024

中国工程科学
中国工程院,高等教育出版社有限公司

中国工程科学

CSTPCD北大核心
影响因子:0.737
ISSN:1009-1742
年,卷(期):2024.26(6)