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

Authors

• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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

Keywords

COVID-19; regional plague transmission; urban-rural joint defence; subcenter of plague outbreak

Abstract

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.

First page

200

Last Page

203

Language

Chinese

Publisher

Bulletin of Chinese Academy of Sciences

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.

Recommended Citation

Chenghu, ZHOU; Tao, PEI; Yunyan, DU; Jie, CHEN; Jun, XU; Jiaoe, WANG; Guoyi, ZHANG; Fenzhen, SU; Ci, SONG; Jiawei, YI; Ting, MA; Yong, GE; An, ZHANG; and Lili, JIANG (2020) "Big Data Analysis on COVID-19 Epidemic and Suggestions on Regional Prevention and Control Policy," Bulletin of Chinese Academy of Sciences (Chinese Version): Vol. 35 : Iss. 2 , Article 9.
DOI: https://doi.org/10.16418/j.issn.1000-3045.20200209001
Available at: https://bulletinofcas.researchcommons.org/journal/vol35/iss2/9