Pandemics, Income Inequality, and Refugees: The Case of COVID-19

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dc.authoridBayraktar, Yuksel/0000-0002-3499-4571
dc.authoridOLGUN, Mehmet Firat/0000-0002-2728-0714
dc.authoridTOPRAK, Metin/0000-0001-9217-6318
dc.contributor.authorBuyukakin, Figen
dc.contributor.authorOzyilmaz, Ayfer
dc.contributor.authorIsik, Esme
dc.contributor.authorBayraktar, Yuksel
dc.contributor.authorOlgun, Mehmet Firat
dc.contributor.authorToprak, Metin
dc.date.accessioned2025-01-21T16:43:18Z
dc.date.available2025-01-21T16:43:18Z
dc.date.issued2024
dc.departmentKırıkkale Üniversitesi
dc.description.abstractRefugees are more vulnerable to COVID-19 due to factors such as low standard of living, accommodation in crowded households, difficulty in receiving health care due to high treatment costs in some countries, and inability to access public health and social services. The increasing income inequalities, anxiety about providing minimum living conditions, and fear of being unemployed compel refugees to continue their jobs, and this affects the number of cases and case-related deaths. The aim of the study is to analyze the impact of refugees and income inequality on COVID-19 cases and deaths in 95 countries for the year 2021 using Poisson regression, Negative Binomial Regression, and Machine Learning methods. According to the estimation results, refugees and income inequalities increase both COVID-19 cases and deaths. On the other hand, the impact of income inequality on COVID-19 cases and deaths is stronger than on refugees.
dc.identifier.doi10.1080/19371918.2024.2318372
dc.identifier.endpage92
dc.identifier.issn1937-1918
dc.identifier.issn1937-190X
dc.identifier.issue1
dc.identifier.pmid38372287
dc.identifier.scopus2-s2.0-85186193983
dc.identifier.scopusqualityQ2
dc.identifier.startpage78
dc.identifier.urihttps://doi.org/10.1080/19371918.2024.2318372
dc.identifier.urihttps://hdl.handle.net/20.500.12587/25237
dc.identifier.volume39
dc.identifier.wosWOS:001164558000001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherRoutledge Journals, Taylor & Francis Ltd
dc.relation.ispartofSocial Work In Public Health
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectCOVID-19; income inequality; refugees; machine learning; negative binomial regression
dc.titlePandemics, Income Inequality, and Refugees: The Case of COVID-19
dc.typeArticle

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