大数据时代的重大突发公共卫生事件预警创新  

Innovation of an Early Warning Model for Major Public Health Emergencies in the Big Data Era

作　　者：周芳检 ZHOU Fangjian(School of Marxism, Hunan University of Science and Engineering,Yongzhou 425199,China)

机构地区：[1]湖南科技学院马克思主义学院,湖南永州425199

出　　处：《云南民族大学学报（哲学社会科学版）》2020年第5期114-120,共7页Journal of Yunnan Minzu University(Philosophy and Social Sciences Edition)

基　　金：国家社会科学基金一般项目:“大数据时代城市公共危机跨部门协同治理研究”(17BGL178)阶段成果。

摘　　要：近年来,我国重大突发公共卫生事件频繁发生。受制于数据来源及分析技术,传统的经验型预警、科层制预警、滞后性预警、模糊化预警、碎片式预警模式,难以满足当前复杂性、跨界性、多元性重大突发公共卫生事件防控工作的需要。在大数据时代,数据采集及处理技术发生巨大变革。通过构建一种基于案例推理和规则推理的大数据预警模型,驱动重大突发公共卫生事件治理迈向精准化、快速化、动态化和协同化新阶段。In recent years,major public health emergencies have occurred frequently in China.Subjected to data sources and analytical techniques,the traditional early warning models characteristic of experiential,bureaucratic,hysteretic,fuzzy and fragmental features cannot meet the current needs of preventing and controlling the complicated,interdisciplinary and diversified major public health emergencies.In the big data era,dramatic changes have taken place in terms of data-acquiring and processing technology.The construction of an early warning big-data model based on CBR and RBR will help handle major public health emergencies towards the precise,quick,dynamic and collaborative new stage.

关 键 词：预警信息 重大突发公共卫生事件 大数据时代 

分 类 号：D630.8[政治法律—政治学]