Spatiotemporal spread characteristics and influencing factors of COVID‐19 cases: Based on big data of population migration in China
Rui Song and
Growth and Change, 2022, vol. 53, issue 4, 1694-1715
As a public health emergency, the COVID‐19 pandemic has attracted widespread attention from scholars worldwide. Combining social network models, GIS analysis and spatial econometric models, we explored the characteristics of the Wuhan population outflow network and factors affecting the number of COVID‐19 cases. The results show that the Wuhan population outflow network has strong temporal and spatial heterogeneity. Cities in Hubei Province, central cities such as Beijing and Shanghai, and cities rich in tourism resources were the main destinations of Wuhan’s population inflow. The distribution of COVID‐19 cases not only showed a strong spatial autocorrelation but also a hierarchical diffusion effect. The benchmark regression results showed that the population outflow from Wuhan determines the number of COVID‐19 cases in other cities. Temperature was negatively correlated with the number of COVID‐19 cases, while the PM2.5 concentration failed the significance test. Thus, the lower is the temperature, the greater are the survival and spread of the virus facilitated. Furthermore, cities with a higher population density and more employees in the middle reaches of the Yangtze River are more vulnerable to COVID‐19. Finally, by replacing the weight matrix and setting instrumental variables, we proved the robustness of the above main conclusions.
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:bla:growch:v:53:y:2022:i:4:p:1694-1715
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=0017-4815
Access Statistics for this article
Growth and Change is currently edited by Dan Rickman and Barney Warf
More articles in Growth and Change from Wiley Blackwell
Bibliographic data for series maintained by Wiley Content Delivery ().