Evidence map›Paper›PMID 41239274›Full record

ArticleBMC infectious diseases2025

Seroprevalence and molecular detection of SARS-CoV-2 among apparently healthy healthcare workers and patients in a Nigerian tertiary hospital.

Rabi Ahmed Mahdi, Ahmad Hayatu, Umar Mohammed Hassan, Muhammad Sani Aliyu, Muhammad Hassan Isa Doko, Usman Yahaya

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Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Rabi Ahmed MahdiAhmadu Bello University Teaching Hospital, Zaria, Kaduna State, Nigeria.
Ahmad HayatuFederal Teaching Hospital Gombe, Gombe, Gombe State, Nigeria. A.Hayatu@sms.ed.ac.uk.ORCID http://orcid.org/0009-0008-4818-2049
Umar Mohammed HassanFederal Teaching Hospital Gombe, Gombe, Gombe State, Nigeria.
Muhammad Sani AliyuAhmadu Bello University, Zaria, Kaduna State, Nigeria.
Muhammad Hassan Isa DokoAhmadu Bello University, Zaria, Kaduna State, Nigeria.
Usman YahayaAhmadu Bello University, Zaria, Kaduna State, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSARS-CoV-2 continues to drive community and healthcare-associated transmission globally, with limited data from sub-Saharan Africa on asymptomatic carriage and infection dynamics. We conducted a dual serological and molecular study to determine the prevalence of past and current SARS-CoV-2 infections among apparently healthy healthcare workers (HCWs) and patients in a Nigerian tertiary hospital.

methodsWe performed a cross-sectional study at the Federal Teaching Hospital, Gombe, Nigeria, enrolling 250 participants (35 HCWs and 215 patients). Venous blood samples were tested for anti-SARS-CoV-2 IgM/IgG antibodies using validated rapid diagnostic tests, while nasopharyngeal/oropharyngeal swabs were analysed by real-time reverse transcription polymerase chain reaction (qRT-PCR) targeting SARS-CoV-2 genes. Socio-demographic and behavioural data were collected via structured questionnaires. Data were analysed using descriptive statistics and chi-square tests, with significance set at p < 0.05.

resultsOverall, 42.0% (n = 105) of participants were seropositive for SARS-CoV-2 antibodies, predominantly IgG (41.6%), with minimal IgM detection (0.4%). Antibody prevalence was significantly higher among patients (37.6%) than HCWs (4.0%) (p < 0.001). SARS-CoV-2 RNA was detected in 42.8% (n = 107) of participants, all of whom were patients. No HCWs tested positive for active infection. All qRT-PCR–positive cases were also IgG positive, suggesting late-phase or resolving infections. Risk factor analysis revealed no statistically significant associations between infection and comorbidities such as hypertension, diabetes, or asthma (p > 0.05).

conclusionsThis study demonstrates substantial community transmission of SARS-CoV-2 among apparently healthy patients in a Nigerian tertiary hospital, contrasted with the absence of active infection among HCWs, which may reflect effective IPC practices, although other unmeasured factors could also contribute. The combined use of serology and molecular testing provided complementary insights into both past exposure and ongoing infections. Our findings highlight the importance of dual diagnostic strategies for surveillance in high-risk healthcare settings and reinforce the need for sustained IPC measures, alongside strengthened community-level interventions, to mitigate COVID-19 transmission in Nigeria. CLINICAL TRIAL: Not applicable.

Indexed as

COVID-19Health PersonnelSARS-CoV-2AdultAntibodies, ViralCross-Sectional StudiesFemaleHumansImmunoglobulin GImmunoglobulin MMaleMiddle AgedNigeriaSeroepidemiologic StudiesTertiary Care CentersYoung AdultAntibodies, ViralImmunoglobulin GImmunoglobulin MCOVID-19Healthcare workersInfection prevention and controlNigeriaqRT-PCRSARS-CoV-2Seroprevalence

Identifiers

PMID41239274
PMCPMC12619265

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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.