专题:重大突发疫情风险研判与决策

面向突发重大公共卫生事件的多源异构应急信息融合模型研究*

  • 翟羽佳 许 佳 李 晓
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  • 1.武汉大学信息管理学院
    2.天津师范大学管理学院
翟羽佳(1988-),男,天津师范大学管理学院副教授,武汉大学信息管理学院博士后,研究方向:网络社会治理、知识扩散、数据挖掘;许佳(1997-),女,天津师范大学管理学院图书馆学硕士研究生,研究方向:网络社会治理、信息融合;李晓(1996-),女,天津师范大学管理学院图书情报硕士研究生,研究方向:网络社会治理、知识扩散。

收稿日期: 2021-10-15

  网络出版日期: 2022-05-18

基金资助

*本文系国家社会科学基金国家应急管理体系建设研究专项“基于信息聚合和知识发现的突发重大公共卫生事件风险研判与决策协同机制研究”(项目编号:20VYJ062)研究成果之一。

A Fusion Model of Multi-source Heterogeneous Emergency Information for Major Public Health Emergencies

  • Zhai Yujia Xu Jia Li Xiao
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Received date: 2021-10-15

  Online published: 2022-05-18

摘要

数据、信息和知识是危机管理的关键要素,也是突发事件应急管理决策制定的基础和重要支撑,充分发挥信息资源优势能够解决“数据孤岛”问题、协同应对与治理突发重大公共卫生事件。文章借鉴Dasarathy信息融合模型和JDL信息融合模型,构建了以融合多源异构应急信息为基础、以服务应急管理与应急决策需求为目标的面向基于突发重大公共卫生事件的多源异构应急信息融合模型,实现了对信息实体、信息源、信息融合技术和信息环境四个关键要素的整体性和系统性融合,可为突发公共卫生事件的风险监测、舆情管理、应急响应与决策提供应急情报服务,减少突发重大公共卫生事件所造成的损失。

本文引用格式

翟羽佳 许 佳 李 晓 . 面向突发重大公共卫生事件的多源异构应急信息融合模型研究*[J]. 图书与情报, 2021 , 41(05) : 9 -20 . DOI: 10.11968/tsyqb.1003-6938.2021068

Abstract

Data, information, and knowledge are the key elements of crisis management, as well as the basis and important support for emergency management decision-making. The advantages of information resources should be fully used to solve the problem of "isolated data island ", and coordinately respond to and manage major public health emergencies. Based on the existing information fusion research, this paper draws on the Dasarathy and the JDL information fusion model to construct a multi-source heterogeneous emergency information fusion model. The model is based on the integration of multi-source heterogeneous emergency information, and aims to serve emergency management and emergency decision-making needs, and achieves the overall and systematic integration of the four key elements of information entities, information sources, information fusion technology and information environment. It can provide information services for risk monitoring, public opinion management, emergency response and decision-making of public health emergencies, and further reduce various losses caused by major public health emergencies.
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