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Predictors of COVID-19 epidemics in countries of the World Health Organization African Region

Feifei Zhang1, Humphrey Karamagi2, Ngoy Nsenga2

  • 1Usher Institute, University of Edinburgh, Edinburgh, United Kingdom. feifei.zhang@ed.ac.uk.

Nature Medicine
|September 4, 2021
PubMed

Insights

In African countries, urban populations and international connectivity influenced early COVID-19 case detection and mortality. Better prepared health systems did not prevent severe impacts, highlighting vulnerabilities for future pandemic planning.

Area of Science:

  • Epidemiology
  • Public Health
  • Infectious Disease Dynamics

Background:

  • The World Health Organization (WHO) African Region faced diverse coronavirus disease 2019 (COVID-19) epidemics.
  • Understanding factors influencing COVID-19 spread and mortality is crucial for regional pandemic preparedness.

Purpose of the Study:

  • To identify predictors for the timing of the first COVID-19 case and per capita mortality in WHO African Region countries.
  • To assess associations between health system preparedness, government responses, and pandemic outcomes during the first and second waves.

Main Methods:

  • A region-wide, country-based observational study design was employed.
  • Data analysis focused on identifying statistical predictors for epidemic timing and mortality rates.
  • The study examined correlations with pre-pandemic health system indicators and government response stringency.

Main Results:

  • Earlier detection of the first COVID-19 case was linked to urban populations, high international connectivity, and testing capacity, while island nations detected cases later.
  • Higher first-wave per capita mortality correlated with urban populations, pre-pandemic international connectivity, and HIV prevalence.
  • Countries with better-prepared and more resilient health systems experienced worse outcomes, complicating the assessment of countermeasures.

Conclusions:

  • The COVID-19 pandemic revealed unexpected vulnerabilities in African health systems.
  • Future pandemic preparedness planning must consider these identified vulnerabilities and the complex interplay of factors affecting disease impact.
  • Predictors for the second wave mirrored the first, and second-wave mortality could be forecast from first-wave data.

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