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

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dc.contributor.authorBüyükakın, Figen
dc.contributor.authorÖzyılmaz, Ayfer
dc.contributor.authorIşık, Esme
dc.contributor.authorBayraktar, Yüksel
dc.contributor.authorOlgun, Mehmet Firat
dc.contributor.authorToprak, Metin
dc.date.accessioned2026-01-04T19:58:06Z
dc.date.issued2024-01-02
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.description.urihttps://doi.org/10.1080/19371918.2024.2318372
dc.description.urihttps://pubmed.ncbi.nlm.nih.gov/38372287
dc.description.urihttps://avesis.kocaeli.edu.tr/publication/details/bcaa7b34-d7f7-485d-8643-9a3991568515/oai
dc.description.urihttps://hdl.handle.net/20.500.12436/7924
dc.description.urihttps://hdl.handle.net/20.500.12587/25237
dc.identifier.doi10.1080/19371918.2024.2318372
dc.identifier.eissn1937-190X
dc.identifier.endpage92
dc.identifier.issn1937-1918
dc.identifier.openairedoi_dedup___::ead82e32ddd51f1d7d3806e577f1f493
dc.identifier.orcid0000-0002-0226-7265
dc.identifier.orcid0000-0001-9201-2508
dc.identifier.orcid0000-0002-6179-5746
dc.identifier.orcid0000-0002-3499-4571
dc.identifier.orcid0000-0002-2728-0714
dc.identifier.orcid0000-0001-9217-6318
dc.identifier.pubmed38372287
dc.identifier.scopus2-s2.0-85186193983
dc.identifier.startpage78
dc.identifier.urihttps://hdl.handle.net/20.500.12597/41490
dc.identifier.volume39
dc.identifier.wos001164558000001
dc.language.isoeng
dc.publisherInforma UK Limited
dc.relation.ispartofSocial Work in Public Health
dc.rightsOPEN
dc.subjectNegative binomial regression
dc.subjectRefugees
dc.subjectCOVID-19
dc.subjectCOVID-19
dc.subjectincome inequality
dc.subjectrefugees
dc.subjectmachine learning
dc.subjectnegative binomial regression
dc.subjectSocioeconomic Factors
dc.subjectMachine learning
dc.subjectIncome
dc.subjectHumans
dc.subjectIncome inequality
dc.subjectPandemics
dc.subject.sdg1. No poverty
dc.subject.sdg3. Good health
dc.subject.sdg8. Economic growth
dc.subject.sdg10. No inequality
dc.titlePandemics, Income Inequality, and Refugees: The Case of COVID-19
dc.typeArticle
dspace.entity.typePublication
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