Evidence map›Paper›PMID 41535904›Full record

ArticleBMC medicine2026

Determinants of long-term SARS-CoV-2 immune responses in asymptomatic-to-moderate COVID-19 patients in sub-Saharan Africa.

Víctor L de Rioja, Odin Goovaerts, Marta Vidal, John Amuasi, Anthony Afum-Adjei Awuah, Christian Kahusu Mwan-Za-K'a, Placide Mbala-Kingebeni, Ritha Nyembu Kibambe, Matthieu Tshitamba, Chirac Kazadi and 14 more

Abstract read
In one paragraph

Article in BMC medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–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

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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

24 authors.

Víctor L de Rioja *ISGlobal, Barcelona, Catalonia, Spain.
Odin Goovaerts *Clinical Immunology Unit, Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium.
Marta VidalISGlobal, Barcelona, Catalonia, Spain.
John AmuasiKumasi Center for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Anthony Afum-Adjei AwuahKumasi Center for Collaborative Research in Tropical Medicine, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Christian Kahusu Mwan-Za-K'aInstitut National de Recherche Biomédicale, Kinshasa, Democratic Republic of Congo.
Placide Mbala-KingebeniInstitut National de Recherche Biomédicale, Kinshasa, Democratic Republic of Congo.
Ritha Nyembu KibambeUniversity of Kinshasa Medical School, Kinshasa, Democratic Republic of Congo.
Matthieu TshitambaClinique Ngaliema, Kinshasa, Democratic Republic of Congo.
Chirac KazadiHôpital Saint Joseph, Kinshasa, Democratic Republic of Congo.
Wendemagegn Embiale YeshanehCollege of Medicine and Health Sciences, Bahir Dar University, Tibebe Gihon Referral Hospital, Bahir Dar, Ethiopia.
Dereje Bedane HundeCollege of Medicine and Health Sciences, Bahir Dar University, Tibebe Gihon Referral Hospital, Bahir Dar, Ethiopia.
Mezgebu AsresDepartment of Internal Medicine, College of Medicine and Health Sciences and Specialized Hospital, University of Gondar, Gondar, Ethiopia.
Fitsumbrhan TajebeDepartment of Immunology and Molecular Biology, College of Medicine and Health Sciences and Specialized Hospital, University of Gondar, Gondar, Ethiopia.
Márcia Mutisse MassingaCentro de Investigação E Treino Em Saúde da Polana Caniço (CISPOC), Instituto Nacional de Saúde, Maputo, Mozambique.
Vânia MaphossaCentro de Investigação E Treino Em Saúde da Polana Caniço (CISPOC), Instituto Nacional de Saúde, Maputo, Mozambique.
Ricardo StraussInfectious Diseases Epidemiology Department, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Oumou Maiga AscofareInfectious Diseases Epidemiology Department, Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Frederic MonnotDrugs for Neglected Diseases Initiative (DNDi), Geneva, Switzerland.
Nabila Ibnou Zekri LassoutDrugs for Neglected Diseases Initiative (DNDi), Geneva, Switzerland.
Ahmed MusaDepartment of Clinical Pathology & Immunology, Institute of Endemic Diseases, University of Khartoum, Khartoum, Sudan.
ANTICOV-IMMUNO Consortium
Wim Adriaensen *Clinical Immunology Unit, Department of Clinical Sciences, Institute of Tropical Medicine, Antwerp, Belgium. wadriaensen@itg.be.
Gemma Moncunill *ISGlobal, Barcelona, Catalonia, Spain. gemma.moncunill@isglobal.org.

Funding

Agencia Estatal de Investigación CEX2023-0001290-SAgencia Estatal de Investigación RYC 2020-029886-I/AEI/10.13039/501100011033
6 · The paper itself

Abstract

backgroundImmune responses after SARS-CoV-2 infection remain poorly characterized in African populations, despite widespread viral transmission and proportionally lower COVID-19 severity and mortality than in other regions. We aimed to define the determinants and durability of humoral and cellular immunity in sub-Saharan Africa and to identify immune correlates of protection against reinfection.

methodsWe conducted a 12-month longitudinal immunological study involving 513 adults with asymptomatic or mild-to-moderate COVID-19 enrolled across four sub-Saharan African countries (Ghana, Democratic Republic of Congo, Ethiopia, and Mozambique) during four pandemic waves (2020-2022). We profiled levels of IgA, IgG, and IgM against eight SARS-CoV-2 antigens and neutralizing antibody activity against ancestral and variant strains by Luminex, and antigen-specific T- and B-cell responses by flow cytometry. Immune kinetics, decay, immune escape, and reinfection risk were evaluated alongside the impact of clinical and demographic variables, including prior exposure, epidemic wave, geographic site, treatment allocation, and host factors. Statistical analyses included non-parametric tests (Kruskal-Wallis with Benjamini-Hochberg adjustment), Spearman correlations, logistic regression for reinfection, and mixed-effects models for longitudinal determinants.

resultsHumoral and cellular immune responses were robust and sustained across participants. Estimated antibody half-lives during the early decay phase exceeded 50 days for IgA and IgG. Higher IgA, IgG, and neutralizing levels were significantly associated with lower odds of reinfection during follow-up. Repurposed COVID-19 treatments showed no measurable impact on immune responses. Prior infection and vaccination were the main determinants of antibody magnitude and persistence, greatly surpassing the effects of age, sex, symptoms, and comorbidities. Antibody levels also varied significantly by epidemic wave and site, higher in later waves and, across sites, generally higher in Ethiopia and lower in DRC. Comorbidities were primarily associated with increased SARS-CoV-2-specific T-cell activation. Strong correlations were observed between binding and neutralizing antibodies, and variant-specific immune escape was confirmed for Beta, Gamma, and Omicron.

conclusionsThis multi-country study provides a comprehensive characterization of SARS-CoV-2 humoral and cellular immune responses in African cohorts and identifies prior exposure and local epidemiological context as the main determinants of immune magnitude, durability, and protection, outweighing other host factors.

Indexed as

COVID-19Immunity, CellularSARS-CoV-2AdultAfrica South of the SaharaAntibodies, NeutralizingAntibodies, ViralFemaleHumansImmunity, HumoralImmunoglobulin GLongitudinal StudiesMaleMiddle AgedSub-Saharan African PeopleYoung AdultAntibodies, NeutralizingAntibodies, ViralImmunoglobulin GAfricaB cellsCell immunityCorrelates of protectionCOVID-19Humoral immunityNeutralizing antibodiesSARS-CoV-2T cellsVaccines

Identifiers

PMID41535904
PMCPMC12829065

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Registered trials

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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.