Global COVID-19 case fatality rates influenced by inequalities in human development and vaccination rates

• Published in: Discover social science and health Vol. 2; no. 1; p. 20
• Main Authors: Nuhu, Kaamel, Humagain, Kamal, Alorbi, Genevieve, Thomas, Sabena, Blavos, Alexis, Placide, Vierne
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.11.2022; Springer Nature B.V; Springer
• Subjects: Age; Biomedicine; Case fatality rates; Coronaviruses; COVID-19; COVID-19 vaccines; Fatalities; Health care; Healthcare capacity; Human development; Immunization; Inequalities in human development; Medical conditions; Mitigation; Mortality; Older people; Pandemic mitigation; Pandemics; Population median age; Psychological distress; Regional variations; Social factors; Social inequality; Social Sciences; Sociodemographics; Mexico; United States > US; Peru; Sudan; Yemen; COVID-19; Healthcare capacity; Case fatality rates; Population median age; Inequalities in human development; Pandemic mitigation
• ISSN: 2731-0469; 2731-0469
• DOI: 10.1007/s44155-022-00022-0

Aim COVID-19 has exerted distress on virtually every aspect of human life with disproportionate mortality burdens on older individuals and those with underlying medical conditions. Variations in COVID-19 incidence and case fatality rates (CFRs) across countries have incited a growing research interest regarding the effect of social factors on COVID-19 case-loads and fatality rates. We investigated the effect of population median age, inequalities in human development, healthcare capacity, and pandemic mitigation indicators on country-specific COVID-19 CFRs across countries and regions. Subject and methods Using population secondary data from multiple sources, we conducted a cross-sectional study and used regional analysis to compare regional differences in COVID-19 CFRs as influenced by the selected indicators. Results The analysis revealed wide variations in COVID-19 CFRs and the selected indicators across countries and regions. Mean CFR was highest for South America at 1.973% (± 0.742) and lowest for Oceania at 0.264% (± 0.107), while the Africa sub-region recorded the lowest scores for pandemic preparedness, vaccination rate, and other indicators. Population Median Age [0.073 (0.033 0.113)], Vaccination Rate [−3.3389 (−5.570.033 −1.208)], and Inequality-Adjusted Human Development Index (IHDI) [−0.014 (−0.023 −0.004)] emerged as statistically significant predictors of COVID-19 CFR, with directions indicating increasing Population Median Age, higher inequalities in human development and low vaccination rate are predictive of higher fatalities from COVID-19. Conclusion Regional differences in COVID-19 CFR may be influenced by underlying differences in sociodemographic and pandemic mitigation indicators. Populations with wide social inequalities, increased population Median Age and low vaccination rates are more likely to suffer higher fatalities from COVID-19.