The Effect of Mobility on the Spread of COVID-19 in Light of Regional Differences in the European Union

Ali Cheshmehzangi, Maycon Sedrez, Junhang Ren, Dezhou Kong, Yifan Shen, Sinan Bao, Junhao Xu, Zhaohui Su and Ayotunde Dawodu
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Ali Cheshmehzangi: Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, China
Maycon Sedrez: Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, China
Junhang Ren: Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, China
Dezhou Kong: Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, China
Yifan Shen: Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, China
Sinan Bao: Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, China
Junhao Xu: Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, China
Zhaohui Su: Center on Smart and Connected Health Technologies, Mays Cancer Center, School of Nursing, UT Health San Antonio, San Antonio, TX 78229, USA
Ayotunde Dawodu: Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, China

Sustainability, 2021, vol. 13, issue 10, 1-24

Abstract: The COVID-19 pandemic has spread rapidly all over the world, affecting many countries to varying degrees. In this study, an in-depth analysis of the factors influencing the spread of COVID-19 is offered mainly through big data in the European Union (EU) context. In doing so, the data of the first wave of the pandemic are assessed. Afterward, we evaluate the impacts of the COVID-19 spread in specific countries and regions. Based on the existing literature, mobility is recognized as a significant direct factor affecting disease transmission. The same applies to the case of COVID-19. However, compared with the analysis of mobility itself, this paper explores more profound reasons that affect mobility, ranging from policy and economy to geographical and transportation factors. Specifically, this paper studies nine EU countries based on their population density and the degree of impact of the epidemic in the first six months (February to July 2020) of the pandemic. Our study aims to illustrate how policies, economies, and geographical locations (including transportation factors) directly or indirectly affect the spread of the novel coronavirus by applying the SEIR model to analyze all selected countries’ big data. The key findings of this research are: (1) the timeliness of relevant policies and the effectiveness of government implementation indirectly limit the spread of the epidemic by reducing population mobility; (2) a better medical level would contribute to detect, isolate, and treat patients, and help control the epidemic; and (3) the large land borders and developed transportation between countries exacerbate the spread of the COVID-19. The paper contributes to ongoing research on COVID-19 by addressing the above points.

Keywords: COVID-19 pandemic; mobility analysis; EU countries; regional; data analysis (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 (3)

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