Correlation of Human Mobility in Capitals of Seven European Countries During the COVID-19 Pandemic

We monitored and compared human mobility for six discrete categories during two year the COVID-19 pandemic in seven European countries: Austria, France, Italy, United Kingdom, Serbia, Spain, and Sweden, and their capitals: Vienna, Paris, Rome, London, Belgrade, Madrid and Stockholm. We have chosen c...

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Main Authors: Predrag Katanić, Srdjan Damjanović
Format: Article
Language:English
Published: Regional Association for Security and crisis management, Belgrade, Serbia 2022-06-01
Series:Operational Research in Engineering Sciences: Theory and Applications
Subjects:
Online Access:https://oresta.rabek.org/index.php/oresta/article/view/243
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author Predrag Katanić
Srdjan Damjanović
author_facet Predrag Katanić
Srdjan Damjanović
author_sort Predrag Katanić
collection DOAJ
description We monitored and compared human mobility for six discrete categories during two year the COVID-19 pandemic in seven European countries: Austria, France, Italy, United Kingdom, Serbia, Spain, and Sweden, and their capitals: Vienna, Paris, Rome, London, Belgrade, Madrid and Stockholm. We have chosen countries whose capitals have more than a million inhabitants and which are located in various parts of Europe. We chose Sweden because it had a policy with the mildest restrictions on population movement during the pandemic. The collected data for the time period from February 15, 2020 until February 11, 2022. Using basic statistical methods, we found that there is a high degree of correlation between the data, which represent the mobility of people across the countries and the mobility of people in the capital of all seven observed European countries for six discrete categories. Based on this, it can be concluded that the mobility of people during the COVID-19 pandemic differs a lot from country to country, because the policies of governments in restricting the movement of people in the past two years have also differed significantly. Through this we want to show that data from Google Community Mobility Reports can be combined with many other data from various areas of human life and work and that various statistical processing of these data can be done to show various types of correlations with human mobility during the COVID-19 pandemic and how it affects the lives and economies of people around the world.
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spelling doaj.art-def7ad8d877744ce97c2dc5d89c81b092022-12-22T00:25:31ZengRegional Association for Security and crisis management, Belgrade, SerbiaOperational Research in Engineering Sciences: Theory and Applications2620-16072620-17472022-06-0110.31181/300622045kCorrelation of Human Mobility in Capitals of Seven European Countries During the COVID-19 PandemicPredrag Katanić0Srdjan Damjanović1Faculty of Business Economics Bijeljina, University of East Sarajevo, Bosnia and HerzegovinaFaculty of Business Economics Bijeljina, University of East Sarajevo, Bosnia and HerzegovinaWe monitored and compared human mobility for six discrete categories during two year the COVID-19 pandemic in seven European countries: Austria, France, Italy, United Kingdom, Serbia, Spain, and Sweden, and their capitals: Vienna, Paris, Rome, London, Belgrade, Madrid and Stockholm. We have chosen countries whose capitals have more than a million inhabitants and which are located in various parts of Europe. We chose Sweden because it had a policy with the mildest restrictions on population movement during the pandemic. The collected data for the time period from February 15, 2020 until February 11, 2022. Using basic statistical methods, we found that there is a high degree of correlation between the data, which represent the mobility of people across the countries and the mobility of people in the capital of all seven observed European countries for six discrete categories. Based on this, it can be concluded that the mobility of people during the COVID-19 pandemic differs a lot from country to country, because the policies of governments in restricting the movement of people in the past two years have also differed significantly. Through this we want to show that data from Google Community Mobility Reports can be combined with many other data from various areas of human life and work and that various statistical processing of these data can be done to show various types of correlations with human mobility during the COVID-19 pandemic and how it affects the lives and economies of people around the world. https://oresta.rabek.org/index.php/oresta/article/view/243COVID-19 pandemic, mobility, data, country, correlation
spellingShingle Predrag Katanić
Srdjan Damjanović
Correlation of Human Mobility in Capitals of Seven European Countries During the COVID-19 Pandemic
Operational Research in Engineering Sciences: Theory and Applications
COVID-19 pandemic, mobility, data, country, correlation
title Correlation of Human Mobility in Capitals of Seven European Countries During the COVID-19 Pandemic
title_full Correlation of Human Mobility in Capitals of Seven European Countries During the COVID-19 Pandemic
title_fullStr Correlation of Human Mobility in Capitals of Seven European Countries During the COVID-19 Pandemic
title_full_unstemmed Correlation of Human Mobility in Capitals of Seven European Countries During the COVID-19 Pandemic
title_short Correlation of Human Mobility in Capitals of Seven European Countries During the COVID-19 Pandemic
title_sort correlation of human mobility in capitals of seven european countries during the covid 19 pandemic
topic COVID-19 pandemic, mobility, data, country, correlation
url https://oresta.rabek.org/index.php/oresta/article/view/243
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