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

  • Predrag Katanić Faculty of Business Economics Bijeljina, University of East Sarajevo, Bosnia and Herzegovina
  • Srdjan Damjanović Faculty of Business Economics Bijeljina, University of East Sarajevo, Bosnia and Herzegovina
Keywords: COVID-19 pandemic, mobility, data, country, correlation

Abstract

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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References

Carlos S., Francesco S., Spyridon S., Stefano M. I., Alessandro A., Dario T., & MicheleV. (2020). „Measuring the impact of COVID-19 confinement measures on human mobility using mobile positioning data. A European regional analysis”, Safety Science, Volume 132, Article 104925. DOI: https://doi.org/10.1016/j.ssci.2020.104925

Chan H., Skali A., & Torgler B. (2020). „A global dataset of human mobility”, CREMA Working Paper, No. 2020-04, Center for Research in Economics, Management and the Arts (CREMA), Zürich. DOI: http://hdl.handle.net/10419/225546

Damjanovic S., Katanic P., & Drakul B. (2021). "The impact of the covid-19 pandemic on the global community’s mobility," Novi Ekonomist, Vol 15 (2), No. 30, 2021, Bijelјina, pp. 15-23. DOI: 10.7251/NOEEN2130015D

Damjanovic, S., Katanic, P., & Krsmanovic, B. (2020). Excel za ekonomiste. (1th ed.). Bijeljina: Fakultet poslovne ekonomija, (Chapter 5). ISBN: 978-99955-45-30-7

Damjanovic S., Katanic P., & Petrovic V., (2021). "Human mobility during the covid-19 pandemic in western Balkan countries," 2nd international conference, Faculty of Economics-Skopje, pp. 1-12. DOI: http://hdl.handle.net/20.500.12188/15934

Iacus S. M., Santamaria C., Sermi F., Spyratos S., Tarchi D., & Vespe M. (2020). „Human mobility and COVID-19 initial dynamics”, Nonlinear Dyn, pp. 493-497. DOI: https://doi.org/10.1007/s11071-020-05854-6

Lapatinas A. (2020). „The effect of COVID-19 confinement policies on community mobility trends in the EU”, Technical report by the Joint Research Centre, Publications Office of the European Union, Luxemburg. DOI:10.2760/875644

Li, Y., Wang, X., Campbell, H., & Nair, H. (2021). The association of community mobility with the time-varying reproduction number (R) of SARS-CoV-2: a modelling study across 330 local UK authorities. The Lancet Digital Health, VOLUME 3, ISSUE 10, pp. 676-683, DOI: https://doi.org/10.1016/ S2589-7500(21)00144-8

Google. COVID-19 Community Mobility Report. (2022).

https://www. google.com/covid19/mobility Accessed 13 February 2022.

Mendolia S., Stavrunova O., & Yerokhin O. (2020). „Determinants of the Community Mobility during the COVID-19 Epidemic: The Role of Government Regulations and Information, IZA”, Institute of Labor Economics, Germany. DOI: 10.1016/j.jebo.2021.01.023

Moritz U. G. K., Chia-Hung Y., Bernardo G., Chi.e.h-Hsi W., Brennan K., & David M. P. (2020). „The effect of human mobility and control measures on the COVID-19 epidemic in China”, SCIenCE, Vol 368, pp. 493-497. DOI : 10.1126/science.abb4218

Porcher S. , & Renault T. (2021). „Social distancing beli.e.fs and human mobility: Evidence from Twitter”, PLOS ONE. DOI: https://doi.org/10.1371/journal.pone.0246949

Ramadhan, M. S., & Syakurah, R. A. (2021). Community mobility reports predict the national spread of COVID-19 in Indonesia in the new normal era. International Journal of Public Health Science, Vol. 10, No. 2, pp. 380-386. DOI: 10.11591/ijphs.v10i2.20635

Sampi J. , & Jooste C. (2020). „ Nowcasting Economic Activity in Times of COVID-19”, World Bank Policy Research Working Paper 9247. Washington, DC: WorldBank.

Sulyok M., & Walker M. (2020). „Community movement and COVID-19: a global study using Google’s Community Mobility Reports”, Cambridge University Press, England. DOI: https://doi.org/10.1017/S0950268820002757

Türkoğlu, S. P., & Tuzcu, S. E. (2021). Assessing country performances during the covid-19 pandemic: a standard deviation based range of value method. Journal Operational Research in Engineering Sciences: Theory and Applications, Vol. 4, Issue 3, pp. 59-81. DOI: https://doi.org/10.31181/oresta081221059t

Published
2022-06-30
How to Cite
Katanić, P., & Damjanović, S. (2022). Correlation of Human Mobility in Capitals of Seven European Countries During the COVID-19 Pandemic. Operational Research in Engineering Sciences: Theory and Applications. https://doi.org/10.31181/300622045k
Section
Articles