新冠肺炎疫情大数据分析与区域防控政策建议  

Big Data Analysis on COVID-19 Epidemic and Suggestions on Regional Prevention and Control Policy

作　　者：周成虎[1] 裴韬[1] 杜云艳 陈洁[1] 许珺[1] 王姣娥[1] 张国义 苏奋振[1] 宋辞[1] 易嘉伟[1] 马廷[1] 葛咏[1] 张岸[1] 姜莉莉[1] ZHOU Chenghu;PEI Tao;DU Yunyan;CHEN Jie;XU Jun;WANG Jiaoe;ZHANG Guoyi;SU Fenzhen;SONG Ci;YI Jiawei;MA Ting;GE Yong;ZHANG An;JIANG Lili(State Key Laboratory of Resources and Environmental Information System,Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China)

机构地区：[1]中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室

出　　处：《中国科学院院刊》2020年第2期200-203,共4页Bulletin of Chinese Academy of Sciences

摘　　要：新冠肺炎疫情区域扩散以武汉为中心,随着春节大量人口的返乡流动呈现加速态势。整个湖北省需要城乡协同,共抗疫情,特别是武汉大都市圈内的黄冈、孝感等地区;在全国层面上,要切实加强北京、上海、广州、深圳等与武汉联系密切城市的疫情防控,并积极利用通讯和社交媒体等大数据,开展潜在感染区和感染人群的精准识别,严控可能形成的次级疫情暴发中心源地。COVID-19 plague outbreak is accelerated due to the large amount of population movement just as at the time of Chinese traditional Spring Festival. As the heaviest plague region centered around Wuhan city, some measures such as urban-rural joint defence must be taken in whole Hubei province to guard against the even further deterioration. And in the level of whole China, such metropolis as Beijing, Shanghai, Guangzhou, Shenzhen and others which have very close contacts with Wuhan and big population flow after the Festival need to more precisely monitor population movement and identify potential infection areas and potential infected population to prevent to be sub-centers of plague outbreak by using modern big data technologies like mobile phone trajectories of the infected and potential infected people.

关 键 词：新冠肺炎 区域扩散 城乡协同联防 次级中心源地 

分 类 号：R563.1[医药卫生—呼吸系统] R181.8[医药卫生—内科学]