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Pandemics, Income Inequality, and Refugees: The Case of COVID-19        
Yazarlar
Figen Büyükakın
Türkiye
Ayfer Özyılmaz
Türkiye
Esme Işık
Malatya Turgut Özal Üniversitesi, Türkiye
Yüksel Bayraktar
Ankara Üniversitesi, Türkiye
Öğr. Gör. Mehmet Fırat OLGUN Öğr. Gör. Mehmet Fırat OLGUN
Kastamonu Üniversitesi, Türkiye
Özet
Refugees 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.
Anahtar Kelimeler
COVID-19 | income inequality | machine learning | negative binomial regression | refugees
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı SOCIAL WORK IN PUBLIC HEALTH
Dergi ISSN 1937-1918
Dergi Tarandığı Indeksler SSCI
Dergi Grubu Q1
Makale Dili Türkçe
Basım Tarihi 01-2024
Cilt No 39
Sayı 1
Sayfalar 78 / 92
Doi Numarası 10.1080/19371918.2024.2318372
Makale Linki http://dx.doi.org/10.1080/19371918.2024.2318372
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Google Scholar 1
Pandemics, Income Inequality, and Refugees: The Case of COVID-19

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