Evidence map›Paper›PMID 40194536›Full record

ReviewThe Lancet. Infectious diseases2025

Rethinking the evidence on COVID-19 in Africa.

Philip Bejon, Ambrose Agweyu, L Isabella Ochola-Oyier, Mainga Hamaluba, Dorcas Kamuya, Sam Kinyanjui, Edwine Barasa

Abstract readReview
In one paragraph

Review in The Lancet. Infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
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  5. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Philip BejonKEMRI-Wellcome Trust Research Programme, Centre for Geographical Medicine Research (Coast), Kilifi, Kenya; Modernising Medical Microbiology, Nuffield Dept of Medicine, University of Oxford, Oxford, UK. Electronic address: philip.bejon@ndm.ox.ac.uk.
Ambrose AgweyuKEMRI-Wellcome Trust Research Programme, Centre for Geographical Medicine Research (Coast), Kilifi, Kenya; Department of Infectious Disease Epidemiology and International Health, London School of Hygiene and Tropical Medicine, London, UK.
L Isabella Ochola-OyierKEMRI-Wellcome Trust Research Programme, Centre for Geographical Medicine Research (Coast), Kilifi, Kenya; Centre for Tropical Medicine and Global Health, Nuffield Dept of Medicine, University of Oxford, Oxford, UK.
Mainga HamalubaKEMRI-Wellcome Trust Research Programme, Centre for Geographical Medicine Research (Coast), Kilifi, Kenya; Centre for Tropical Medicine and Global Health, Nuffield Dept of Medicine, University of Oxford, Oxford, UK.
Dorcas KamuyaKEMRI-Wellcome Trust Research Programme, Centre for Geographical Medicine Research (Coast), Kilifi, Kenya; Centre for Tropical Medicine and Global Health, Nuffield Dept of Medicine, University of Oxford, Oxford, UK.
Sam KinyanjuiKEMRI-Wellcome Trust Research Programme, Centre for Geographical Medicine Research (Coast), Kilifi, Kenya; Centre for Tropical Medicine and Global Health, Nuffield Dept of Medicine, University of Oxford, Oxford, UK.
Edwine BarasaKEMRI-Wellcome Trust Research Programme, Centre for Geographical Medicine Research (Coast), Kilifi, Kenya; Centre for Tropical Medicine and Global Health, Nuffield Dept of Medicine, University of Oxford, Oxford, UK.

Funding

Wellcome Trust 203077
6 · The paper itself

Abstract

The COVID-19 pandemic was predicted to cause substantial mortality in Africa. However, some countries in Africa had a striking absence of overwhelmed hospitals and low reported mortality. The marked contrast with the overwhelmed hospitals and high mortality seen in Europe and other high-income settings was regarded as puzzling and a paradox. In this Review, we reflect on possible explanations for the paradox with particular reference to observations made on the ground in Kenya. The evidence is inconsistent with reduced viral transmission or poor surveillance as primary explanations for the discrepancy. Population age structure is an important but incomplete explanation of the epidemiology. Due to the high prevalence of asymptomatic infection, low mortality, and evidence of reduced inflammatory responses, we hypothesise that some populations in Africa might have reduced susceptibility to symptomatic COVID-19. The reduced inflammatory responses might result from immunoregulation or cross-reactive, pre-pandemic cellular immunity, although the evidence is not definitive. Local data are essential to develop public health policies that align with the reality on the ground rather than external perceptions.

Indexed as

COVID-19AfricaHumansKenyaPandemicsPrevalenceSARS-CoV-2

Identifiers

PMID40194536
PMCPMC7618699

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.