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面向大数据时代的重大疫情信息管理理论框架及其应用 被引量:11

Research on Theoretical Framework and Application of Major Epidemic Information Management in Big Data Era
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摘要 [目的/意义]研究面向大数据时代的重大疫情信息管理问题,为缓解重大疫情影响、提升国家疫情信息管理体系与能力提供参考。[方法/过程]以新冠肺炎疫情为起点比较了公、私部门疫情信息管理实践的不同路径,探讨当前疫情信息管理面临的困境及其现实根源,结合跨学科理论提出重大疫情信息管理困境化解的针对性方案。[结果/结论]构建重大疫情信息管理的“DITP”理论框架,基于该框架的国家重大疫情信息管理平台能够有效化解当前国内重大疫情信息管理的现实困境,实现疫情信息互联共通、透明共享、实时更新和开放获取,促进疫情信息管理和疫情防控治理的无缝对接。 [Purpose/Significance]To research the information management of major epidemic in the era of big data,so as to provide reference for alleviating the impact of major epidemic and improving the information management system and capacity of the state.[Method/Process]Taking the epidemic situation of“COVID-19”as the starting point,this paper compared the different paths of epidemic information management in public and private sectors,and analyzed the difficulties and realistic causes of epidemic information management in China.Combined with interdisciplinary knowledge,this paper put forward a targeted plan to solve the dilemma of major epidemic information management.[Results/Conclusions]The“DITP”theoretical framework of major epidemic information management was put forward.The national major epidemic information management platform based on this framework can effectively resolve the current dilemma of domestic major epidemic information management,realize the interconnection,transparent sharing,real-time update and open access of epidemic information,and promote the seamless docking of major information management and epidemic prevention and control.
作者 李进华 Li Jinhua(School of Politics and Public Administration,China University of Political Science and Law,Beijing 100088,China)
出处 《现代情报》 CSSCI 2020年第7期25-33,51,共10页 Journal of Modern Information
基金 国家自然科学基金项目“质量驱动的公共服务标准化研究:理论建构、机制设计与应用策略”(项目编号:71704112)。
关键词 重大疫情信息管理 “DITP”框架 信息管理平台 “新冠肺炎” 中国情景 information management of major epidemic “DITP”framework information management platform “COVID-19” China scenes
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