Evidence map›Paper›PMID 40557286›Full record

ArticleBMJ public health2025

Population-based cross-sectional seroprevalence study of SARS-CoV-2 infection in urban residential areas in Ghana.

John H Amuasi, Anthony Afum-Adjei Awuah, Christian Obirikorang, Evans Asamoah Adu, Eric Ebenezer Amprofi Boham, Alexander Owusu Boakye, Hakim Alani, Sylvester Newton, Nana Safi Almoustapha, James Deke and 19 more

Abstract read
In one paragraph

Article in BMJ public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

29 authors.

John H Amuasi *Kumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.ORCID https://orcid.org/0000-0002-8640-2662
Anthony Afum-Adjei AwuahKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.ORCID https://orcid.org/0000-0002-8912-9673
Christian ObirikorangKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.
Evans Asamoah AduKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.ORCID https://orcid.org/0000-0001-6374-0979
Eric Ebenezer Amprofi BohamKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.ORCID https://orcid.org/0000-0002-7161-1197
Alexander Owusu BoakyeKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.ORCID https://orcid.org/0009-0006-1559-7673
Hakim AlaniKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.
Sylvester NewtonKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.ORCID https://orcid.org/0009-0004-6705-1301
Nana Safi AlmoustaphaKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.
James DekeKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.ORCID https://orcid.org/0000-0001-8098-8298
Welbeck Odame DzadeyKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.
Louis Adu-AmoahKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.
Sally-Ann KroduahKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.
Mary Ama GrantKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.
Gracelyn AsareKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.
Amos Amoako-AduseiKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.ORCID https://orcid.org/0000-0002-8002-463X
Wibke LoagBernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Jenny KettenbeilBernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Yaw Adu SarkodieClinical Microbiology, School of Medicine and Dentistry, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Ebenezer OduroGa East Municipal Hospital, Accra, Ghana.
Alfred E YawsonMedical School, University of Ghana, Legon, Ghana.
Stephen ApangaCommunity Health and Preventive Medicine, University for Development Studies, Tamale, Ghana.
Rose Odotei AdjeiKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.
Austin Gideon Adobasom AnaneKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.
Eva LorenzBernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Aurelia SouaresInstitute of Global Health, Universitätsklinikum Heidelberg Heidelberg, Heidelberg, Germany.
Oumou Maiga AscofareKumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana.
May Jurgen *Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.
Nicole S Struck *Bernhard Nocht Institute for Tropical Medicine, Hamburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Estimates of SARS-CoV-2-specific IgG antibodies using robust designs and serological assays have been a key component in assessing and reporting the overall occurrence of COVID-19 infection burden in the general population. The objective of this study was to estimate the seroprevalence and characteristics of COVID-19 infection transmission in Ghana. Methods: We conducted a cross-sectional survey using a two-stage stratified random sampling of community household members from February 2021 to February 2022 in Ghana, to estimate SARS-CoV-2 seroprevalence. Bayesian models with poststratification weighting of the demographic structure of the sample population were used for seroprevalence estimates, accounting for the uncertainty of diagnostic assay in a hierarchical model. Exposure-wide analysis was performed to evaluate the characteristics of the widespread SARS-CoV-2 infection. Results: On average, two members per household were recruited from 299 households in Accra, 348 in Kumasi and 268 in Tamale. Test-performance adjusted seroprevalence estimate was 42.8% (95% CI 37.5% to 48.5%) in Kumasi, 52.6% (95% CI 46.5% to 59.4%) in Accra and 81.7% (95% CI 74.6% to 89.0%) in Tamale. The poststratification for age, sex and household structure raised the overall seroprevalence estimates marginally to 43.9% (95% CI 38.1% to 50.1%) in Kumasi, 53.3% (95% CI 46.9% to 60.1%) in Accra and 84.7% (95% CI 76.4% to 95.6%) in Tamale. These estimates indicate that COVID-19 surveillance and reporting largely underestimates the true extent of infections and herd immunity in Ghana, with an estimated infection-to-case ratio of 19:1 in Kumasi; 85:1 in Accra and 49:1 in Tamale, as of March 2021, October 2021, February 2022, respectively. The seroprevalence estimate was not affected by the sex and age of the study participants. In an exposure-wide analysis, after adjusting for temporal biases in sample collection, age and sex, the average number of contacts per day was the only significant exposure variable associated with increased SARS-CoV-2 seropositivity, with an OR between 1.5 and 1.8. Conclusions: Our data highlight a sustained national transmission of COVID-19 disease through individual contacts and suggests a situation of asymptomatic endemic circulation of the SARS-CoV-2 virus and potential herd immunity.

Indexed as

COVID-19Disease Transmission, InfectiousEpidemiologic FactorsEpidemiology

Identifiers

PMID40557286
PMCPMC12186045

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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.