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

Qiaowen Lin, Guoliang Ou, Renyang Wang, Yanan Li, Yi Zhao and Zijun Dong
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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

Sustainability, 2021, vol. 13, issue 14, 1-17

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.

Keywords: climatic factors; weather; COVID-19; morbidity; Wuhan (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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