ArticleBMC infectious diseases2025
Statistical modeling the seroprevalence of hepatitis B among the pregnant women attending specialist hospital, Idah, kogi state, Nigeria.
Article in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatitis B Virus (HBV) remains a significant global public health challenge, particularly among pregnant women due to the risk of vertical transmission. Despite increasing reports of HBV in Nigeria, data specific to Idah, Kogi State, are limited. This study aimed to estimate the prevalence and identify predictors of HBV infection among pregnant women in this setting.
methodsA crosssectional survey was conducted among 245 pregnant women attending their first antenatal clinic visit at Specialist Hospital, Idah, Kogi State, Nigeria (March-June 2024). HBV infection was defined as HBsAg positivity confirmed by rapid test and ELISA neutralization. Independent variables included age, marital status, educational level, exposure to sharp objects, alcohol use, tribal marks, and multiple sexual partners. Adjusted logistic regression models were fitted using penalized likelihood methods in R (v4.4.2). Model fit was assessed with likelihood ratio and Wald tests, Hosmer-Lemeshow goodnessoffit, calibration slope/intercept, and AUC. Predictive performance was evaluated using confusion matrix metrics with Wilson score confidence intervals. Missing data were addressed using single imputation under a Missing at Random (MAR) assumption.
resultsHBV prevalence was 5.7% (95% CI: 3.2-9.4%). Significant predictors included marital status (OR = 23.66, 95% CI: 1.04-654.93), exposure to sharp objects (OR = 23.88, 95% CI: 1.52-3519.22), tribal marks (OR = 9.29, 95% CI: 1.84-99.56), and multiple sexual partners (OR = 66.79, 95% CI: 4.80-1665.01). The model demonstrated excellent discrimination (AUC = 0.9635) and good calibration (Hosmer-Lemeshow χ
conclusionHBV infection among pregnant women in Idah was significantly associated with marital status, cultural practices (tribal marks), exposure to sharp objects, and multiple sexual partners. The predictive model demonstrated strong discrimination and calibration, supporting its potential utility for HBV risk stratification in antenatal care. However, modest specificity and NPV highlight the need for cautious interpretation and external validation in larger, multisite cohorts.
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