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

Q1 Engineering
Predrag Katanić, Srdjan Damjanović
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引用次数: 2

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. © 2022 by the authors.
新冠肺炎大流行期间欧洲七个国家首都人口流动的相关性
在2019冠状病毒病大流行的两年中,我们在七个欧洲国家(奥地利、法国、意大利、英国、塞尔维亚、西班牙和瑞典)及其首都(维也纳、巴黎、罗马、伦敦、贝尔格莱德、马德里和斯德哥尔摩)监测和比较了六个不同类别的人员流动情况。我们选择了首都人口超过100万、位于欧洲不同地区的国家。我们选择瑞典是因为它在大流行期间对人口流动的限制最温和。收集的数据时间为2020年2月15日至2022年2月11日。使用基本的统计方法,我们发现数据之间存在高度的相关性,这些数据代表了国家间的人口流动性和所有七个观察到的欧洲国家首都的人口流动性,分为六个离散类别。基于此,可以得出结论,在COVID-19大流行期间,各国之间的人员流动差异很大,因为过去两年各国政府限制人员流动的政策也有很大差异。通过这种方式,我们希望展示谷歌社区流动性报告中的数据可以与来自人类生活和工作各个领域的许多其他数据相结合,并且可以对这些数据进行各种统计处理,以显示COVID-19大流行期间与人类流动性的各种相关性,以及它如何影响世界各地人们的生活和经济。©2022作者所有。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.90
自引率
0.00%
发文量
25
审稿时长
15 weeks
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