Role of the Health System in Combating Covid-19: Cross-Section Analysis and Artificial Neural Network Simulation for 124 Country Cases

• Published in: Social work in public health Vol. 36; no. 2; pp. 178 - 193
• Main Authors: Bayraktar, Yüksel, Özyılmaz, Ayfer, Toprak, Metin, Işık, Esme, Büyükakın, Figen, Olgun, Mehmet Fırat
• Format: Journal Article
• Language: English
• Published: United States Routledge 17.02.2021; Taylor & Francis Ltd
• Subjects: Computer Simulation; Coronaviruses; COVID-19; COVID-19 - mortality; Cross-Sectional Studies; Delivery of Health Care - organization & administration; Developed countries; Developing countries; Expenditures; GDP; Global Health; Gross Domestic Product; Health administration; Health care expenditures; Health Expenditures; Health services; healthcare system; Hospital Bed Capacity; Humans; LDCs; Life Expectancy; Neural networks; Neural Networks, Computer; Novel Coronavirus; Physicians; Physicians - supply & distribution; Regression Analysis; SARS-CoV-2; global health; Covid-19; healthcare system; Novel Coronavirus
• ISSN: 1937-1918; 1937-190X
• DOI: 10.1080/19371918.2020.1856750

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.