Country-level predictors of COVID-19 mortality
Abstract This study aimed to identify country-level predictors of COVID-19 mortality, after controlling for diverse potential factors, and utilizing current worldwide mortality data. COVID-19 deaths, as well as geographic, demographic, socioeconomic, healthcare, population health, and pandemic-relat...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-06-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-36449-x |
| _version_ | 1797806789285117952 |
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| author | Paul A. Brown |
| author_facet | Paul A. Brown |
| author_sort | Paul A. Brown |
| collection | DOAJ |
| description | Abstract This study aimed to identify country-level predictors of COVID-19 mortality, after controlling for diverse potential factors, and utilizing current worldwide mortality data. COVID-19 deaths, as well as geographic, demographic, socioeconomic, healthcare, population health, and pandemic-related variables, were obtained for 152 countries. Continuous variables were examined with Spearman’s correlation, categorical variables with ANOVA or Welch’s Heteroscedastic F Test, and country-level independent predictors of COVID-19 mortality identified by weighted generalized additive models. This study identified independent mortality predictors in six limited models, comprising groups of related variables. However, in the full model, only WHO region, percent of population ≥ 65 years, Corruption Perception Index, hospital beds/100,000 population, and COVID-19 cases/100,000 population were predictive of mortality, with model accounting for 80.7% of variance. These findings suggest areas for focused intervention in the event of similar future public health emergencies, including prioritization of the elderly, optimizing healthcare capacity, and improving deficient health sector-related governance. |
| first_indexed | 2024-03-13T06:12:41Z |
| format | Article |
| id | doaj.art-8dd1e635682740899bb570431a6565a8 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-13T06:12:41Z |
| publishDate | 2023-06-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-8dd1e635682740899bb570431a6565a82023-06-11T11:12:15ZengNature PortfolioScientific Reports2045-23222023-06-0113111310.1038/s41598-023-36449-xCountry-level predictors of COVID-19 mortalityPaul A. Brown0Department of Basic Medical Sciences, Faculty of Medical Sciences Teaching and Research Complex, The University of the West IndiesAbstract This study aimed to identify country-level predictors of COVID-19 mortality, after controlling for diverse potential factors, and utilizing current worldwide mortality data. COVID-19 deaths, as well as geographic, demographic, socioeconomic, healthcare, population health, and pandemic-related variables, were obtained for 152 countries. Continuous variables were examined with Spearman’s correlation, categorical variables with ANOVA or Welch’s Heteroscedastic F Test, and country-level independent predictors of COVID-19 mortality identified by weighted generalized additive models. This study identified independent mortality predictors in six limited models, comprising groups of related variables. However, in the full model, only WHO region, percent of population ≥ 65 years, Corruption Perception Index, hospital beds/100,000 population, and COVID-19 cases/100,000 population were predictive of mortality, with model accounting for 80.7% of variance. These findings suggest areas for focused intervention in the event of similar future public health emergencies, including prioritization of the elderly, optimizing healthcare capacity, and improving deficient health sector-related governance.https://doi.org/10.1038/s41598-023-36449-x |
| spellingShingle | Paul A. Brown Country-level predictors of COVID-19 mortality Scientific Reports |
| title | Country-level predictors of COVID-19 mortality |
| title_full | Country-level predictors of COVID-19 mortality |
| title_fullStr | Country-level predictors of COVID-19 mortality |
| title_full_unstemmed | Country-level predictors of COVID-19 mortality |
| title_short | Country-level predictors of COVID-19 mortality |
| title_sort | country level predictors of covid 19 mortality |
| url | https://doi.org/10.1038/s41598-023-36449-x |
| work_keys_str_mv | AT paulabrown countrylevelpredictorsofcovid19mortality |