Why do regions differ in vulnerability to СOVID-19? Spatial nonlinear modeling of social and economic patterns

IF 2.1 Q2 ECONOMICS
O. Kuzmenko, T. Vasylieva, S. Vojtovič, O. Chygryn, Vytautas Snieška
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引用次数: 35

Abstract

Certain groups of determinants (economic, environmental, social, healthcare) with the highest vulnerability identify the reasons for regional differentiation in morbidity and mortality from COVID-19 This defines the necessity to find appropriate combinations of factors characterizing the vulnerability of a region The methodology and tools to explain the regional specifics of population vulnerability to COVID-19 are investigated through a systematic consideration of many public health factors, environmental, social and economic specific nature of regions The aim of the article is to study the reasons for regional differentiation of population vulnerability (morbidity and mortality rates) from COVID-19 The authors investigate a nonlinear spatial model in which the stepwise algorithm of individual factor variables is added/removed from the model specifications step by step by the Aitken method depending on their correlation with morbidity and mortality from COVID-19 in the region The Farrar-Glober method is used to eliminate the multicollinearity of factors, the Spearman test is used to detect the heteroskedastic effect, and the Darbin-Watson test is used to check the presence of autocorrelation between the residues As a result, the specification of the model with the highest adequacy in terms of p-value and t-statistics is formed Relevant socioecological-economic vulnerability indices of regions to mortality and morbidity from COVID-19 are identified The obtained results allow making adjustments in the state and regional programs concerning the mobilization of economic and healthcare systems
为什么不同地区对СOVID-19的脆弱性不同?社会经济格局的空间非线性建模
具有最高脆弱性的某些决定因素组(经济、环境、社会、医疗保健)确定了COVID-19发病率和死亡率区域差异的原因,这就确定了找到表征一个区域脆弱性的因素的适当组合的必要性。通过系统考虑许多公共卫生因素,研究了解释人口对COVID-19脆弱性的区域特征的方法和工具。环境、本文的目的是研究新冠肺炎人口脆弱性(发病率和死亡率)的区域分化原因。作者研究了一个非线性空间模型,该模型根据个体因素变量与区域新冠肺炎发病率和死亡率的相关性,采用艾特肯方法逐步在模型规范中添加/删除个体因素变量的逐步算法用Spearman检验检验异方差效应,用Darbin-Watson检验检验残差之间是否存在自相关。形成了在p值和t统计量方面具有最高充分性的模型规范,确定了区域对COVID-19死亡率和发病率的相关社会生态经济脆弱性指数,所获得的结果允许在国家和区域计划中对经济和医疗保健系统的动员进行调整
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
5.40
自引率
6.70%
发文量
40
审稿时长
24 weeks
期刊介绍: Economics and Sociology (ISSN 2306-3459 Online, ISSN 2071-789X Print) is a quarterly international academic open access journal published by Centre of Sociological Research in co-operation with University of Szczecin (Poland), Mykolas Romeris University (Lithuania), Dubcek University of Trencín, Faculty of Social and Economic Relations, (Slovak Republic) and University of Entrepreneurship and Law, (Czech Republic). The general topical framework of our publication include (but is not limited to): advancing socio-economic analysis of societies and economies, institutions and organizations, social groups, networks and relationships.[...] We welcome articles written by professional scholars and practitioners in: economic studies and philosophy of economics, political sciences and political economy, research in history of economics and sociological phenomena, sociology and gender studies, economic and social issues of education, socio-economic and institutional issues in environmental management, business administration and management of SMEs, state governance and socio-economic implications, economic and sociological development of the NGO sector, cultural sociology, urban and rural sociology and demography, migration studies, international issues in business risk and state security, economics of welfare.
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