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Discovering Correlations between the COVID-19 Epidemic Spread and Climate.
Lin, Shaofu; Fu, Yu; Jia, Xiaofeng; Ding, Shimin; Wu, Yongxing; Huang, Zhou.
  • Lin S; Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
  • Fu Y; Beijing Institute of Smart City, Beijing University of Technology, Beijing 100124, China.
  • Jia X; Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.
  • Ding S; Beijing Big Data Center, Beijing 100142, China.
  • Wu Y; Green Intelligence Environmental School, Yangtze Normal University, Chongqing 408107, China.
  • Huang Z; Institute of Remote Sensing and Geographical Information Systems, School of Earth and Space Sciences, Peking University, Beijing 100871, China.
Int J Environ Res Public Health ; 17(21)2020 10 29.
Article in English | MEDLINE | ID: covidwho-902529
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Climate / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Observational study Limits: Humans Language: English Year: 2020 Document Type: Article Affiliation country: Ijerph17217958

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Climate / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Observational study Limits: Humans Language: English Year: 2020 Document Type: Article Affiliation country: Ijerph17217958