Epidemiology of Hepatitis B Virus Infection in Nigeria: A Narrative Review of Prevalence, Transmission, Genotypes, Coinfections, and Mortality
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Notice bibliographique
Résumé
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.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,007 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle