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Author:

Lin, Shaofu (Lin, Shaofu.) | Fu, Yu (Fu, Yu.) | Jia, Xiaofeng (Jia, Xiaofeng.) | Ding, Shimin (Ding, Shimin.) | Wu, Yongxing (Wu, Yongxing.) | Huang, Zhou (Huang, Zhou.)

Indexed by:

SSCI Scopus SCIE PubMed

Abstract:

The outbreak of Corona Virus Disease 2019 (COVID-19) has affected the lives of people all over the world. It is particularly urgent and important to analyze the epidemic spreading law and support the implementation of epidemic prevention measures. It is found that there is a moderate to high correlations between the number of newly diagnosed cases per day and temperature and relative humidity in countries with more than 10,000 confirmed cases worldwide. In this paper, the correlation between temperature/relative humidity and the number of newly diagnosed cases is obvious. Governments can adjust the epidemic prevention measures according to climate change, which will more effectively control the spread of COVID-19.

Keyword:

COVID-19 climate correlation multiple linear regression

Author Community:

  • [ 1 ] [Lin, Shaofu]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Fu, Yu]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Lin, Shaofu]Beijing Univ Technol, Beijing Inst Smart City, Beijing 100124, Peoples R China
  • [ 4 ] [Jia, Xiaofeng]Beijing Big Data Ctr, Beijing 100142, Peoples R China
  • [ 5 ] [Ding, Shimin]Yangtze Normal Univ, Green Intelligence Environm Sch, Chongqing 408107, Peoples R China
  • [ 6 ] [Wu, Yongxing]Peking Univ, Sch Earth & Space Sci, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China
  • [ 7 ] [Huang, Zhou]Peking Univ, Sch Earth & Space Sci, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China

Reprint Author's Address:

  • [Ding, Shimin]Yangtze Normal Univ, Green Intelligence Environm Sch, Chongqing 408107, Peoples R China;;[Huang, Zhou]Peking Univ, Sch Earth & Space Sci, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China

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Source :

INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH

Year: 2020

Issue: 21

Volume: 17

ESI Discipline: ENVIRONMENT/ECOLOGY;

ESI HC Threshold:138

Cited Count:

WoS CC Cited Count: 17

SCOPUS Cited Count: 20

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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