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The Spatiotemporal Characteristics and Climatic Factors of COVID-19 in Wuhan, China

Author

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  • Qiaowen Lin

    (School of Economic and Management, China University of Geosciences, Wuhan 430074, China)

  • Guoliang Ou

    (School of Construction and Environmental Engineering, Shenzhen Polytechnic, Shenzhen 518055, China)

  • Renyang Wang

    (New Economic Research Institute, Ningbo University of Finance & Economics, Ningbo 315000, China)

  • Yanan Li

    (School of Management, Wuhan Institute of Technology, Wuhan 430205, China)

  • Yi Zhao

    (School of Urban Planning & Design, Peking University Shenzhen Graduate School, Shenzhen 518055, China)

  • Zijun Dong

    (School of Construction and Environmental Engineering, Shenzhen Polytechnic, Shenzhen 518055, China)

Abstract

COVID-19 is threatening the whole world. This paper aims to explore the correlation between climatic factors and the morbidity of COVID-19 in Wuhan, China, mainly by using a geographic detector and GWR model. It was found that the response of the morbidity of COVID-19 to meteorological factors in Wuhan is different at different stages. On the whole, the morbidity of COVID-19 has a strong spatial aggregation, mainly concentrated in the central area of Wuhan City. There is a positive correlation between wind speed and the spread of COVID-19, while temperature has a negative correlation. There is a positive correlation between air pressure and the number of COVID-19 cases. Rainfall is not significantly correlated with the spread of COVID-19. It is concluded that wind speed, relative humidity, temperature, and air pressure are important meteorological factors affecting the spread of COVID-19 in Wuhan. Any two variables have greater interaction with the spatial distribution of the incidence rate of COVID-19 than any one factor alone. Those findings not only provide a new insight for the key intervention measures and the optimal allocation of health care resources accordingly but also lay a theoretical foundation for disease prevention, disease intervention and health services.

Suggested Citation

  • Qiaowen Lin & Guoliang Ou & Renyang Wang & Yanan Li & Yi Zhao & Zijun Dong, 2021. "The Spatiotemporal Characteristics and Climatic Factors of COVID-19 in Wuhan, China," Sustainability, MDPI, vol. 13(14), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:14:p:8112-:d:597908
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    References listed on IDEAS

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    1. Fan Wu & Su Zhao & Bin Yu & Yan-Mei Chen & Wen Wang & Zhi-Gang Song & Yi Hu & Zhao-Wu Tao & Jun-Hua Tian & Yuan-Yuan Pei & Ming-Li Yuan & Yu-Ling Zhang & Fa-Hui Dai & Yi Liu & Qi-Min Wang & Jiao-Jiao , 2020. "Author Correction: A new coronavirus associated with human respiratory disease in China," Nature, Nature, vol. 580(7803), pages 7-7, April.
    2. Fan Wu & Su Zhao & Bin Yu & Yan-Mei Chen & Wen Wang & Zhi-Gang Song & Yi Hu & Zhao-Wu Tao & Jun-Hua Tian & Yuan-Yuan Pei & Ming-Li Yuan & Yu-Ling Zhang & Fa-Hui Dai & Yi Liu & Qi-Min Wang & Jiao-Jiao , 2020. "A new coronavirus associated with human respiratory disease in China," Nature, Nature, vol. 579(7798), pages 265-269, March.
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    Cited by:

    1. Nushrat Nazia & Zahid Ahmad Butt & Melanie Lyn Bedard & Wang-Choi Tang & Hibah Sehar & Jane Law, 2022. "Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review," IJERPH, MDPI, vol. 19(14), pages 1-28, July.

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