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

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 wa...

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Main Authors: Ali Cheshmehzangi, Maycon Sedrez, Junhang Ren, Dezhou Kong, Yifan Shen, Sinan Bao, Junhao Xu, Zhaohui Su, Ayotunde Dawodu
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/13/10/5395
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spelling doaj-4e237ab65475481fa3cd5ae66b2fdbd32021-05-31T23:47:02ZengMDPI AGSustainability2071-10502021-05-01135395539510.3390/su13105395The Effect of Mobility on the Spread of COVID-19 in Light of Regional Differences in the European UnionAli Cheshmehzangi0Maycon Sedrez1Junhang Ren2Dezhou Kong3Yifan Shen4Sinan Bao5Junhao Xu6Zhaohui Su7Ayotunde Dawodu8Department of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, ChinaDepartment of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, ChinaDepartment of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, ChinaDepartment of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, ChinaDepartment of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, ChinaDepartment of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, ChinaDepartment of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, ChinaCenter on Smart and Connected Health Technologies, Mays Cancer Center, School of Nursing, UT Health San Antonio, San Antonio, TX 78229, USADepartment of Architecture and Built Environment, University of Nottingham Ningbo China, Ningbo 315100, ChinaThe 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.https://www.mdpi.com/2071-1050/13/10/5395COVID-19 pandemicmobility analysisEU countriesregionaldata analysis
collection DOAJ
language English
format Article
sources DOAJ
author Ali Cheshmehzangi
Maycon Sedrez
Junhang Ren
Dezhou Kong
Yifan Shen
Sinan Bao
Junhao Xu
Zhaohui Su
Ayotunde Dawodu
spellingShingle Ali Cheshmehzangi
Maycon Sedrez
Junhang Ren
Dezhou Kong
Yifan Shen
Sinan Bao
Junhao Xu
Zhaohui Su
Ayotunde Dawodu
The Effect of Mobility on the Spread of COVID-19 in Light of Regional Differences in the European Union
Sustainability
COVID-19 pandemic
mobility analysis
EU countries
regional
data analysis
author_facet Ali Cheshmehzangi
Maycon Sedrez
Junhang Ren
Dezhou Kong
Yifan Shen
Sinan Bao
Junhao Xu
Zhaohui Su
Ayotunde Dawodu
author_sort Ali Cheshmehzangi
title The Effect of Mobility on the Spread of COVID-19 in Light of Regional Differences in the European Union
title_short The Effect of Mobility on the Spread of COVID-19 in Light of Regional Differences in the European Union
title_full The Effect of Mobility on the Spread of COVID-19 in Light of Regional Differences in the European Union
title_fullStr The Effect of Mobility on the Spread of COVID-19 in Light of Regional Differences in the European Union
title_full_unstemmed The Effect of Mobility on the Spread of COVID-19 in Light of Regional Differences in the European Union
title_sort effect of mobility on the spread of covid-19 in light of regional differences in the european union
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2021-05-01
description 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.
topic COVID-19 pandemic
mobility analysis
EU countries
regional
data analysis
url https://www.mdpi.com/2071-1050/13/10/5395
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