European COVID -19 Pandemic Data and Social Inclusion Policy in the European Union: Drivers-Driven Trend Analysis

J. Kaivo‐oja, Samuli Aho, Theresa Lauraéus
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Abstract

Abstract Research purpose. The study is focused on the Covid-19 pandemic crisis in the European Union. This study investigates the current driving trends and trade-offs of the Covid-19 pandemic phenomenon and social inclusion trends in the European countries. Design / Methodology / Approach. The methodology is based on conventional statistical index theory and statistics. The study investigates cases, deaths, and key Covid-19 statistics. The research design combines key social inclusion statistics of the Eurostat and the official Covid-19 statistics of the European Centre for Disease Prevention and Control. Covid-19 data is updated to 1.3.2021. Social inclusion variables are selected from the Eurostat database. Social inclusion variables cover poverty, material deprivation, income distribution, income, quality of life, employment, and education matters. Scattering matrices on the relationships among the key variables under review are reported. Findings. The study reports basic trends of Covid-19 cases, deaths, deaths/cases and calculates these Covid-19 trends in 29 European countries. This study reports trade-off analyses of key social inclusion trends of the European Union countries. Key indicators are linked to economic income, income distribution, poverty, gender issues, and housing statistics. The 19 key indicators of social inclusion are analysed and reported with Covid-19 data. Statistical correlation analysis tables (2a and 2b) are calculated with key European social inclusion indicators. The study reveals some relevant aspects of the social inclusion policy of the European Union about the ongoing Covid-19 crisis and exit strategies. Originality / Value / Practical implications. This conference paper demonstrates novel and exciting possibilities of integrated data pooling (The Eurostat and the European Centre for Disease Prevention and Control). Original results of key trend drivers are provided by the authors. Value-adding and interesting results are delivered for European governments and the business community. Results and findings of the study can be used in the planning of economic recovery and Covid-19 exit policies in the member states of the European Union.
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欧洲COVID -19大流行数据和欧盟社会包容政策:驱动因素驱动的趋势分析
研究目的。这项研究的重点是欧盟的Covid-19大流行危机。本研究调查了当前欧洲国家Covid-19大流行现象和社会包容趋势的驱动趋势和权衡。设计/方法论/方法。该方法以传统统计指标理论和统计学为基础。该研究调查了病例、死亡和Covid-19的关键统计数据。研究设计结合了欧盟统计局的关键社会包容统计数据和欧洲疾病预防和控制中心的官方Covid-19统计数据。Covid-19数据更新为1.3.2021。社会包容变量选自欧盟统计局的数据库。社会包容变量包括贫困、物质剥夺、收入分配、收入、生活质量、就业和教育问题。本文报道了关键变量间关系的散射矩阵。发现。该研究报告了Covid-19病例、死亡、死亡/病例的基本趋势,并计算了29个欧洲国家的这些Covid-19趋势。本研究报告了欧盟国家主要社会包容趋势的权衡分析。关键指标与经济收入、收入分配、贫困、性别问题和住房统计数据有关。利用Covid-19数据分析和报告社会包容的19项关键指标。统计相关分析表(2a和2b)是用欧洲主要社会包容指标计算的。该研究揭示了欧盟在当前新冠疫情危机和退出战略方面的社会包容政策的一些相关方面。原创性/价值/实际意义。这篇会议论文展示了整合数据池(欧盟统计局和欧洲疾病预防和控制中心)的新颖和令人兴奋的可能性。主要趋势驱动因素的原始结果由作者提供。为欧洲各国政府和商界提供了增值和有趣的结果。该研究的结果和发现可用于欧盟成员国经济复苏和Covid-19退出政策的规划。
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