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大数据环境下情报主导的疫情防控模型研究 被引量:9

Research on Intelligence-Led Epidemic Prevention and Control in the Big Data Environment
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摘要 [目的/意义]在当今大数据时代,大数据和情报是提升疫情防控能力的关键。因此,开展大数据环境下情报主导的疫情防控研究意义重大。[方法/过程]首先,从理论层面出发,界定疫情防控、疫情大数据和疫情情报的概念。其次,阐述疫情大数据、疫情情报与疫情防控之间的关系。最后,构建大数据环境下情报主导的疫情防控模型,并解析其内涵。[结果/结论]大数据环境下情报主导的疫情防控的关键在于将疫情大数据转换为有用的疫情情报,并运用疫情情报服务和支撑疫情防控能力的提升。 [Purpose/Significance]In the era of big data,big data and intelligence are the key to improve the capability of epidemic prevention and control.Therefore,it is of great significance to carry out the research on intelligence-led epidemic prevention and control model in the big data environment.[Method/Process]First,this article defined the concepts of epidemic prevention and control,epidemic big data and epidemic intelligence.Second,this paper expounded the relationship of epidemic prevention and control,epidemic big data and epidemic intelligence.Finally,this article constructed an intelligence-led epidemic prevention and control model in the big data environment,and analyzed its connotation.[Result/Conclusion]The key of intelligence-led epidemic prevention and control in the big data environment was to transform epidemic big data into useful epidemic intelligence,and use epidemic intelligence to support the improvement of epidemic prevention and control capability.
作者 王秉 宋欣筑 Wang Bing;Song Xinzhu(School of Resources & Safety Engineering,Central South University,Changsha 410083,China;Safety & Security Theory Innovation and Promotion Center,Central South University,Changsha 410083,China;Safety & Security Science and Emergency Management Center,Central South University,Changsha 410083,China)
出处 《现代情报》 CSSCI 2020年第9期15-19,31,共6页 Journal of Modern Information
基金 教育部人文社会科学研究青年基金项目“大数据驱动下情报主导的智慧安全管理方法及其实证研究”(项目编号:20YJCZH149) 国家自然科学基金重点项目“安全科学原理研究”(项目编号:51534008) 中南大学前沿交叉专项基金项目“重大传染病疫情应急体系的触发与运行机制研究”。
关键词 安全情报学 疫情大数据 疫情情报 疫情防控 safety&security intelligence science epidemic big data epidemic intelligence epidemic prevention and control
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