An Assessment of Systemic Factors and COVID-19 Mortality in Africa

Objectives: The objective of this study was to examine the association between several country-level systemic indices and the deaths from COVID-19 across African countries.Method: Regression analyses were conducted to test the association between selected indices and deaths from COVID-19 across Afri...

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Bibliographic Details
Main Authors: Ayomide Owoyemi, Tolulope Balogun, Joy Okoro, Tariro Ndoro, Oluwakayode Fasominu, Adejare Atanda, Ibraheem Abioye
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:International Journal of Public Health
Subjects:
Online Access:https://www.ssph-journal.org/articles/10.3389/ijph.2022.1604915/full
Description
Summary:Objectives: The objective of this study was to examine the association between several country-level systemic indices and the deaths from COVID-19 across African countries.Method: Regression analyses were conducted to test the association between selected indices and deaths from COVID-19 across African countries. All tests were run at the α = 0.05 level of significance.Result: We found a statistically significant correlation between total COVID-19 deaths per million and Stringency Index (p-value <0.001) and Human Development Index (p-value <0.001). Multiple regression analysis showed that Stringency Index was the only variable that remained significant when other factors are controlled for in the model.Conclusion: Countries in Africa with poorer governance, inadequate pandemic preparedness and lower levels of development have unexpectedly fared better with respect to COVID-19 deaths mainly because of having a younger population than the countries with better indices.
ISSN:1661-8564