Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/708
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dc.contributor.authorHezer, Seda-
dc.contributor.authorGelmez, Emel-
dc.contributor.authorÖzceylan, Eren-
dc.date.accessioned2021-12-13T10:29:50Z-
dc.date.available2021-12-13T10:29:50Z-
dc.date.issued2021-
dc.identifier.issn1876-0341-
dc.identifier.issn1876-035X-
dc.identifier.urihttps://doi.org/10.1016/j.jiph.2021.03.003-
dc.identifier.urihttps://hdl.handle.net/20.500.13091/708-
dc.description.abstractCOVID-19, which emerged in December 2019, has affected the entire world. Therefore, COVID-19 has been a subject of research in various disciplines, especially in the field of health. One of these studies was the report made by the Deep Knowledge Group (DKG) consortium in which safe regions for COVID19 were determined. In the report, the main criteria of quarantine efficiency, government efficiency of risk management, monitoring and detection, health readiness, regional resilience, and emergency preparedness are used in the evaluation of countries and regions (alternatives). As the data and research structure used in this report are based on multi-criteria, the purpose of this study is to evaluate and analyse the safety levels of 100 regions in the world in terms of COVID-19 using Technique for Order Performance by Similarity to Ideal Solution (TOPSIS), Vise Kriterijumsa Optimizacija I Kompromisno Resenje (VIKOR) and Complex Proportional Assessment (COPRAS) methods. The data and information required in the methods were obtained from a report prepared by the DKG. The results of the methods were compared with the ranking results presented in a report of the DKG. Accordingly, it has been observed that the method that provides the closest results to the results of the report is the COPRAS method, and the method that gives the most distant results is the VIKOR method. (c) 2021 The Authors. Published by Elsevier Ltd on behalf of King Saud Bin Abdulaziz University for Health Sciences. This is an open access article under the CC BY-NC-ND license (http://creativecommons. org/licenses/by-nc-nd/4.0/).en_US
dc.language.isoenen_US
dc.publisherELSEVIER SCIENCE LONDONen_US
dc.relation.ispartofJOURNAL OF INFECTION AND PUBLIC HEALTHen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCovid-19en_US
dc.subjectRegional Safetyen_US
dc.subjectMulti-Criteria Decision Makingen_US
dc.subjectTopsisen_US
dc.subjectVikoren_US
dc.subjectCoprasen_US
dc.subjectComplex Proportional Assessmenten_US
dc.subjectDecision-Makingen_US
dc.subjectMulticriteria Evaluationen_US
dc.subjectFuzzyen_US
dc.subjectSelectionen_US
dc.subjectRankingen_US
dc.titleComparative analysis of TOPSIS, VIKOR and COPRAS methods for the COVID-19 Regional Safety Assessmenten_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.jiph.2021.03.003-
dc.identifier.pmidPubMed: 34022737en_US
dc.identifier.scopus2-s2.0-85106731879en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.authoridOzceylan, Eren/0000-0002-5213-6335-
dc.identifier.volume14en_US
dc.identifier.issue6en_US
dc.identifier.startpage775en_US
dc.identifier.endpage786en_US
dc.identifier.wosWOS:000658801600017en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.authorscopusid57224528986-
dc.authorscopusid57224506096-
dc.authorscopusid36350013100-
dc.identifier.scopusqualityQ1-
item.openairetypeArticle-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept02.09. Department of Industrial Engineering-
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collections
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections
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