| Yazarlar |
Yüksel Bayraktar
İstanbul Üniversitesi, Türkiye |
|
Ayfer Özyılmaz
Gümüşhane Üniversitesi, Türkiye |
|
Metin Toprak
İstanbul Sabahattin Zaim Üniversitesi, Türkiye |
|
Esme Işık
Malatya Turgut Özal Üniversitesi, Türkiye |
|
Figen Büyükakın
Kocaeli Üniversitesi, Türkiye |
Öğr. Gör. Mehmet Fırat OLGUN
Kastamonu Üniversitesi, Türkiye |
| 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 effects on the ratio of Covid-19 recovered/cases. Universal health service and share of health expenditures in GDP are not significant statistically on the cases and recovered. Hospital bed capacity is the most effective variable on the recovered/case ratio. |
| Anahtar Kelimeler |
| Covid-19 | global health | healthcare system | Novel Coronavirus |
| 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 | Q2 |
| Makale Dili | İngilizce |
| Basım Tarihi | 02-2021 |
| Cilt No | 36 |
| Sayı | 2 |
| Sayfalar | 178 / 193 |
| Doi Numarası | 10.1080/19371918.2020.1856750 |
| Makale Linki | https://doi.org/10.1080/19371918.2020.1856750 |
| Atıf Sayıları | |
| WoS | 17 |
| SCOPUS | 17 |
| Google Scholar | 23 |
