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Article

Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development

by 1,2,*, 1 and 1
1
School of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, China
2
Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2020, 17(10), 3417; https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17103417
Received: 14 April 2020 / Revised: 10 May 2020 / Accepted: 11 May 2020 / Published: 14 May 2020
Social and economic factors relate to the prevention and control of infectious diseases. The purpose of this paper was to assess the distribution of COVID-19 morbidity rate in association with social and economic factors and discuss the implications for urban development that help to control infectious diseases. This study was a cross-sectional study. In this study, social and economic factors were classified into three dimensions: built environment, economic activities, and public service status. The method applied in this study was the spatial regression analysis. In the 13 districts in Wuhan, the spatial regression analysis was applied. The results showed that: 1) increasing population density, construction land area proportion, value-added of tertiary industry per unit of land area, total retail sales of consumer goods per unit of land area, public green space density, aged population density were associated with an increased COVID-19 morbidity rate due to the positive characteristics of estimated coefficients of these variables. 2) increasing average building scale, GDP per unit of land area, and hospital density were associated with a decreased COVID-19 morbidity rate due to the negative characteristics of estimated coefficients of these variables. It was concluded that it is possible to control infectious diseases, such as COVID-19, by adjusting social and economic factors. We should guide urban development to improve human health. View Full-Text
Keywords: social and economic factors; spatial regression analysis; COVID-19; morbidity rate; Wuhan city social and economic factors; spatial regression analysis; COVID-19; morbidity rate; Wuhan city
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MDPI and ACS Style

You, H.; Wu, X.; Guo, X. Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development. Int. J. Environ. Res. Public Health 2020, 17, 3417. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17103417

AMA Style

You H, Wu X, Guo X. Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development. International Journal of Environmental Research and Public Health. 2020; 17(10):3417. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17103417

Chicago/Turabian Style

You, Heyuan, Xin Wu, and Xuxu Guo. 2020. "Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development" International Journal of Environmental Research and Public Health 17, no. 10: 3417. https://0-doi-org.brum.beds.ac.uk/10.3390/ijerph17103417

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