周成虎,裴韬,杜云艳,陈洁,许珺,王姣娥,张国义,苏奋振,宋辞,易嘉伟,马廷,葛咏,张岸,姜莉莉.新冠肺炎疫情大数据分析与区域防控政策建议[J].中国科学院院刊,2020,35(2):200-203.

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
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 北京 100101
ZHOU Chenghu
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
裴韬
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 北京 100101
PEI Tao
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
杜云艳
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 北京 100101
DU Yunyan
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
陈洁
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 北京 100101
CHEN Jie
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
许珺
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 北京 100101
XU Jun
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
王姣娥
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 北京 100101
WANG Jiaoe
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
张国义
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 北京 100101
ZHANG Guoyi
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
苏奋振
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 北京 100101
SU Fenzhen
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
宋辞
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 北京 100101
SONG Ci
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
易嘉伟
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 北京 100101
YI Jiawei
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
马廷
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 北京 100101
MA Ting
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
葛咏
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 北京 100101
GE Yong
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
张岸
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 北京 100101
ZHANG An
State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
姜莉莉
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 北京 100101
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
中文关键词
         新冠肺炎;区域扩散;城乡协同联防;次级中心源地
英文关键词
        COVID-19;regional plague transmission;urban-rural joint defence;subcenter of plague outbreak
中文摘要
        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
英文摘要
        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.
DOI10.16418/j.issn.1000-3045.20200209001
作者简介
周成虎 中国科学院院士、国际欧亚科学院院士。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研究员、博士生导师。主要从事地图学与地理信息系统研究。在数字地貌制图、时空大数据分析与预测等方面完成了系统性工作,提出了全息位置地图、全空间信息系统的新概念新理论,引领着我国地理信息系统与导航位置服务的学科与技术发展。
E-mail:zhouch@igsnrr.ac.cn
ZHOU Chenghu Academician of Chinese Academy of Sciences,Professor of Cartography and Geographical Information System (GIS) in State Key Laboratory of Resources and Environmental Information System,Institute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences (CAS).He is majored in digital geomorphological mapping,spatial-temporal big data analysis and prediction.As one of the leaders of GIS in China,he proposed such new directions of geographical information system as pan-spatial information system,Holo-location map,which are being conducted by support of national research program.
E-mail:zhouch@igsnrr.ac.cn
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