O. Kuzmenko, T. Vasylieva, S. Vojtovič, O. Chygryn, Vytautas Snieška
{"title":"Why do regions differ in vulnerability to СOVID-19? Spatial nonlinear modeling of social and economic patterns","authors":"O. Kuzmenko, T. Vasylieva, S. Vojtovič, O. Chygryn, Vytautas Snieška","doi":"10.14254/2071-789X.2020/13-4/20","DOIUrl":null,"url":null,"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","PeriodicalId":51663,"journal":{"name":"Economics & Sociology","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economics & Sociology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.14254/2071-789X.2020/13-4/20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}
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
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.