Africa's low COVID-19 mortality rate: A paradox?

Area of Science:

• Global Health
• Epidemiology
• Demography

Background:

• COVID-19 (Coronavirus Disease 2019) has caused significant global mortality.
• African nations, despite less advanced healthcare, exhibited lower COVID-19 mortality rates compared to developed countries.
• This study investigates the demographic and health predictors contributing to these observed mortality differences.

Purpose of the Study:

• To identify key predictors of COVID-19 mortality rates.
• To explain the lower COVID-19 mortality observed in African populations.
• To inform public health policies balancing restrictive and socioeconomic measures.

Main Methods:

• An analytical review utilizing pre-COVID-19 population data and current COVID-19 mortality figures.
• Pearson's correlation analysis to assess associations between population variables and mortality rates.
• Stepwise multiple regression analysis to determine significant mortality predictors.

Main Results:

• Significant positive predictors of COVID-19 mortality included higher pre-pandemic '65-yr+ mortality %', increased population mean age, and higher life expectancy.
• A higher pre-pandemic cardiovascular disease (CVD) death rate was a significant negative predictor of COVID-19 mortality.
• These factors collectively explain a substantial portion of the variance in COVID-19 mortality rates.

Conclusions:

• Africa's lower COVID-19 mortality is linked to younger population demographics (lower mean age and life expectancy).
• A smaller pre-existing population of individuals with cardiovascular diseases also contributed to lower mortality rates.
• Findings suggest demographic factors significantly influence COVID-19 outcomes, offering insights for policy interventions.