Role of the Health System in Combating Covid-19: Cross-Section Analysis and Artificial Neural Network Simulation for 124 Country Cases
Yazarlar (6)
Prof. Dr. Yüksel Bayraktar İstanbul Üniversitesi, Türkiye
Doç. Dr. Ayfer Özyılmaz Gümüşhane Üniversitesi, Türkiye
Prof. Dr. Metin Toprak İstanbul Sabahattin Zaim Üniversitesi, Türkiye
Doç. Dr. Esme Işık Malatya Turgut Özal Üniversitesi, Türkiye
Prof. Dr. Figen Büyükakın Kocaeli Üniversitesi, Türkiye
Öğr. Gör. Dr. Mehmet Fırat OLGUN Kastamonu 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 | İngilizce | Basım Tarihi | 02-2021 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 28-12-2020 |
| Cilt / Sayı / Sayfa | 36 / 2 / 178–193 | DOI | 10.1080/19371918.2020.1856750 |
| Makale Linki | https://doi.org/10.1080/19371918.2020.1856750 | ||
| UAK Araştırma Alanları |
İktisat Teorisi
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| Özet |
| In the fight against Covid-19, developed countries and developing countries diverge in success. This drew attention to the discussion of how different health systems and different levels of health spending are effective in combating Covid-19. In this study, the role of the health system in the fight against Covid-19 is discussed. In this context, the number of hospital beds, the number of doctors, life expectancy at 60, universal health service and the share of health expenditures in GDP were used as health indicators. In the study, firstly 2020 data was estimated by using the Artificial Neural Networks simulation method and this year was used in the analysis. The model, with the data of 124 countries, was estimated using the cross-sectional OLS regression method. The estimation results show that the number of hospital beds, number of doctors and life expectancy at the age of 60 have statistically significant and positive … |
| Anahtar Kelimeler |
| Covid-19 | global health | healthcare system | Novel Coronavirus |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 17 |
| Scopus | 17 |
| Google Scholar | 24 |