Show simple item record

dc.contributor.authorKaklauskas, Artūras
dc.contributor.authorMilevičius, Virginijus
dc.contributor.authorKaklauskienė, Loreta
dc.date.accessioned2023-09-18T16:17:55Z
dc.date.available2023-09-18T16:17:55Z
dc.date.issued2022
dc.identifier.issn1470-160X
dc.identifier.other(SCIDIR_EID)1-s2.0-S1470160X22001741
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/112938
dc.description.abstractCOVID-19 has caused over 260 million confirmed cases and over 5 million deaths globally. The results of statistical and multiple criteria analyses on the success of 169 countries and on COVID-19 cumulative cases and excess deaths show that the prosperity of a country relates directly to the consequences due to the pandemic. The topic of this article is the Country Success and COVID-19 (CSC) Map of the World. As a country’s success grows, this map shows how cumulative cases of COVID-19 increase; at the same time, excess deaths decrease. The indicators in the system of criteria regarding country success and sustainability are interrelated. Conditional country successes remain quite similar, despite changes to the numbers of countries and their indicators. Likewise, the seven clusters of countries under consideration group together independently of which system of indicators had been applied for their analysis. The 2020 Inglehart–Welzel Cultural Map of the World, which is grounded on surveys, and the CSC Map, which is grounded on statistical indicators, have axes that correlate with one another significantly. The CSC Map Model explains over 63% of the dispersions pertinent to COVID-19 cumulative cases, over 52% of COVID-19 excess deaths, and over 95% of country success variables. The layout of the clusters on the CSC Map changes little over time. Upon performance of the correlation analysis, it was established that strong and statistically significant relationships exist between 169 countries success and sustainability linked with their current air quality score (r = 0.602, p < 0.01) and the environmental performance index (EPI) score (r = 0.931, p < 0.01). The results obtained show that when a country’s EPI score and current air quality improve by 1%, excess deaths decrease, respectively, by 2.33 and 1.55%. Global integrated analysis on country successes, COVID-19 cumulative cases, and excess deaths comprise this study.eng
dc.formatPDF
dc.format.extentp. 1-30
dc.format.mediumtekstas / txt
dc.language.isoeng
dc.relation.isreferencedbyScience Citation Index Expanded (Web of Science)
dc.relation.isreferencedbySocial Sciences Citation Index (Web of Science)
dc.relation.isreferencedbyScienceDirect
dc.relation.isreferencedbyScopus
dc.source.urihttps://www.sciencedirect.com/science/article/pii/S1470160X22001741
dc.titleEffects of country success on COVID-19 cumulative cases and excess deaths in 169 countries
dc.typeStraipsnis Web of Science DB / Article in Web of Science DB
dcterms.accessRightsThis is an open access article under the CC BY-NC-ND license.
dcterms.licenseCreative Commons – Attribution – NonCommercial – NoDerivatives – 4.0 International
dcterms.references155
dc.type.pubtypeS1 - Straipsnis Web of Science DB / Web of Science DB article
dc.contributor.institutionVilniaus Gedimino technikos universitetas
dc.contributor.facultyStatybos fakultetas / Faculty of Civil Engineering
dc.contributor.departmentTvariosios statybos institutas / Institute of Sustainable Construction
dc.subject.researchfieldT 004 - Aplinkos inžinerija / Environmental engineering
dc.subject.researchfieldS 003 - Vadyba / Management
dc.subject.vgtuprioritizedfieldsEV03 - Dinamiškoji vadyba / Dynamic Management
dc.subject.ltspecializationsL102 - Energetika ir tvari aplinka / Energy and a sustainable environment
dc.subject.en169 countries
dc.subject.enintegrated indicators
dc.subject.encumulative cases of COVID-19
dc.subject.enexcess deaths
dc.subject.ensuccess
dc.subject.enmultiple regression models
dc.subject.enmultiple criteria analysis
dc.subject.encountry success and COVID-19 map of the world
dcterms.sourcetitleEcological indicators
dc.description.volumevol. 137
dc.publisher.nameElsevier
dc.publisher.cityAmsterdam
dc.identifier.doi1-s2.0-S1470160X22001741
dc.identifier.doiS1470-160X(22)00174-1
dc.identifier.doi85125436306
dc.identifier.doi2-s2.0-85125436306
dc.identifier.doi1
dc.identifier.doiS1470160X22001741
dc.identifier.doi135056163
dc.identifier.doi000781100800006
dc.identifier.doi10.1016/j.ecolind.2022.108703
dc.identifier.elaba123034461


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record