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Record W4414409441 · doi:10.1155/jotm/4939367

Epidemiology of Hepatitis B Virus Infection in Nigeria: A Narrative Review of Prevalence, Transmission, Genotypes, Coinfections, and Mortality

2025· review· en· W4414409441 on OpenAlex
Babayemi O. Olakunde, Daniel A Adeyinka, Olubunmi A. Olakunde, Stanley Chinedu Eneh, Temitayo Ogundipe

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Tropical Medicine · 2025
Typereview
Languageen
FieldMedicine
TopicHepatitis B Virus Studies
Canadian institutionsSaskatchewan HealthSaskatchewan Health Authority
Fundersnot available
KeywordsEpidemiologyHepatitis B virusHepatitis BPopulationPrevalenceNarrative reviewPublic healthMortality rate

Abstract

fetched live from OpenAlex

Background Nigeria has the highest burden of hepatitis B virus (HBV) infection in sub‐Saharan Africa. However, the lack of a robust surveillance system and program data has limited the understanding of the burden and the distribution of HBV across different populations. This narrative review aimed to summarize available data on the epidemiology of HBV in Nigeria and identify research gaps in the existing literature. Methods We searched PubMed, Scopus, and Google Scholar for relevant articles published between January 2000 and June 2025. Primary studies, reviews, and reports that contained data of interest, including prevalence, incidence, mode of transmission, mortality, and genotypes, were included in this review. Where available, we restricted our results to findings from representative surveys (conducted across the six geopolitical zones) or systematic reviews. Prevalence rates < 2%, 2%–7%, and ≥ 8% were described as low, intermediate, and high, respectively. Results Studies on the prevalence of hepatitis B surface antigen (HBsAg) have reported intermediate to high rates in the general population (5.4%–13.6%), with evidence suggesting declining trend. The most recent estimates showed a prevalence of 5.4% in 2022, corresponding to approximately 14.4 million people living with HBV. Available data indicate sociodemographic disparities in HBV prevalence, with higher rates among men, adults (> 18 years), and rural dwellers. Reported prevalence rates among specific subpopulations include blood donors (13.2%–14.0%), pregnant women (5.5%–14.1%), prison inmates (4%–42.2%), people who inject drugs (7%–7.8%), healthcare workers (1.1%–25.7%), female sex workers (0%–17.1%), men who have sex with men (8.4%–11.7%), and transgender women (15.6%). The prevalence of hepatitis B e‐antigen (HBeAg) in the general population ranged from 6.0% to 23.6%. The prevalence of occult HBV infection (OBI) ranged from 0.9% to 17.0%. Genotype E was consistently reported as the predominant HBV genotype. Most studies reported low, intermediate, and high prevalence rates for HBV‐hepatitis C virus (HCV), HBV‐hepatitis D virus (HDV), and HBV‐HIV coinfections, respectively. In 2022, approximately 46,000 deaths were attributed to HBV, translating to a mortality rate of 21 per 100,000 population. Conclusions A wide range of HBV prevalence rates has been observed across various population groups in Nigeria. Key research gaps in HBV epidemiology that must be addressed include modes of transmission, incidence rate, prevalence among key populations, prevalence of OBI in the general population, and spatial distribution of the burden.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.173
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0070.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.056
GPT teacher head0.414
Teacher spread0.357 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it