This study investigated the relationship between public healthcare-related features, vaccination rates, and COVID-19 mortality rates in 44 European and South Caucasian countries. The COVID-19 mortality rates were averaged from 21 November 2021 to 4 December 2021, coinciding with the height of the fourth wave of the pandemic. A cross-sectional analysis was conducted using the ordinary least squares (OLS) estimator, the spatial autoregressive (SAR) model, and the spatial error (SEM) model. A cluster analysis was then performed to identify homogeneous groupings of nations exhibiting escalating risk variables for COVID-19 mortality. The results indicated that public health expenditure, healthcare personnel, pharmacists, universal health coverage (UHC), and COVID-19 vaccination rates exhibited significant negative correlations with COVID-19 mortality rates, while out-of-pocket (OOP) spending and the saturation of ordinary and intensive care unit (ICU) beds demonstrated significant positive correlations with COVID-19 mortality rates. Cluster analysis indicated that post-communist and post-Soviet European nations with more decentralized and predominantly private insurance-based healthcare systems exhibited the highest risk variables for COVID-19 mortality. In contrast, Nordic European countries with universal healthcare systems demonstrated the lowest risk. Consequently, nations with publicly funded comprehensive healthcare systems have shown greater efficacy in reducing COVID-19 death rates while alleviating the strain on national healthcare systems. These policy recommendations may be beneficial in the event of similar shocks in the future.

The impact of public healthcare system on COVID-19 mortality rate in selected European and South Caucasian countries

Perone, Gaetano
Primo
Writing – Review & Editing
2025-01-01

Abstract

This study investigated the relationship between public healthcare-related features, vaccination rates, and COVID-19 mortality rates in 44 European and South Caucasian countries. The COVID-19 mortality rates were averaged from 21 November 2021 to 4 December 2021, coinciding with the height of the fourth wave of the pandemic. A cross-sectional analysis was conducted using the ordinary least squares (OLS) estimator, the spatial autoregressive (SAR) model, and the spatial error (SEM) model. A cluster analysis was then performed to identify homogeneous groupings of nations exhibiting escalating risk variables for COVID-19 mortality. The results indicated that public health expenditure, healthcare personnel, pharmacists, universal health coverage (UHC), and COVID-19 vaccination rates exhibited significant negative correlations with COVID-19 mortality rates, while out-of-pocket (OOP) spending and the saturation of ordinary and intensive care unit (ICU) beds demonstrated significant positive correlations with COVID-19 mortality rates. Cluster analysis indicated that post-communist and post-Soviet European nations with more decentralized and predominantly private insurance-based healthcare systems exhibited the highest risk variables for COVID-19 mortality. In contrast, Nordic European countries with universal healthcare systems demonstrated the lowest risk. Consequently, nations with publicly funded comprehensive healthcare systems have shown greater efficacy in reducing COVID-19 death rates while alleviating the strain on national healthcare systems. These policy recommendations may be beneficial in the event of similar shocks in the future.
2025
Perone, Gaetano
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/1306487
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