Pandemics, Income Inequality, and Refugees: The Case of COVID-19
Yazarlar (6)
Prof. Dr. Figen Büyükakın Kocaeli Üniversitesi, Türkiye
Doç. Dr. Ayfer Özyılmaz Kirikkale Üniversitesi, Türkiye
Doç. Dr. Esme Işık Malatya Turgut Özal Üniversitesi, Türkiye
Prof. Dr. Yüksel Bayraktar Ankara Üniversitesi, Türkiye
Öğr. Gör. Dr. Mehmet Fırat OLGUN Kastamonu Üniversitesi, Türkiye
Prof. Dr. Metin Toprak Haliç Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Social Work in Public Health (Q2) | ||
| Dergi ISSN | 1937-1918 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SSCI | ||
| Makale Dili | Türkçe | Basım Tarihi | 02-2024 |
| Cilt / Sayı / Sayfa | 39 / 1 / 78–92 | DOI | 10.1080/19371918.2024.2318372 |
| Makale Linki | http://dx.doi.org/10.1080/19371918.2024.2318372 | ||
| UAK Araştırma Alanları |
İktisat Teorisi
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| 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 … |
| Anahtar Kelimeler |
| COVID-19 | income inequality | machine learning | negative binomial regression | refugees |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Scopus | 1 |
| Google Scholar | 2 |