Awareness and prevalence of hepatitis C virus infection among pregnant women in Nigeria: A national pilot cross-sectional study
Bibliographic record
Abstract
BACKGROUND: There are no national data on hepatitis C virus awareness and burden among pregnant women to justify its routine screening. OBJECTIVES: To investigate awareness, seroprevalence and risk factors for hepatitis C virus infection among pregnant women in Nigeria. METHODS: A total of 159 pregnant women from antenatal clinics across six geopolitical zones in Nigeria consented to anti-hepatitis C virus testing which was confirmed using polymerase chain reaction technique. Confirmed hepatitis C virus positive women were further tested for hepatitis B and HIV. Participants were evaluated for risk factors for hepatitis C virus. Odds ratios, adjusted odds ratios, and their 95% confidence intervals (CIs) were determined, and p-values of <0.05 were considered significant. RESULTS: Of 159 participants, 77 (48.4%; 95% confidence interval = 38.2%-60.5%) were aware of hepatitis C virus infection and awareness of hepatitis C virus was associated with young age (odds ratio = 2.21; 95% confidence interval = 1.16-4.21), high educational level (odds ratio = 3.29; 95% confidence interval = 1.63-6.64), and participants' occupation (odds ratio = 0.51; 95% confidence interval = 0.26-0.99). In multivariable logistic regression, adjusted for confounders, the association between awareness of hepatitis C virus and participants' young age (adjusted odds ratio = 1.60; 95% confidence interval = 1.09-2.35; p = 0.018) and high educational level (adjusted odds ratio = 1.48; 95% confidence interval = 1.17-1.86; p = 0.001) remained significant. Hepatitis C virus seroprevalence was found to be 1.3% (95% confidence interval = 0.2%-4.5%). All (100.0%, 95% confidence interval = 12.1%-100.0%) the hepatitis C virus-positive participants and 99 (63.1%, 95% confidence interval = 51.3%-76.8%) hepatitis C virus-negative participants had identifiable hepatitis C virus risk factors. Dual seropositivity of anti-hepatitis C virus/anti-HIV and anti-hepatitis C virus/hepatitis B surface antigen each accounted for 0.6%. The most identified risk factors were multiple sexual partners (15.7%), shared needles (13.8%), and blood transfusion (11.3%). There was no significant association between the risk factors and hepatitis C virus positive status. CONCLUSION: Awareness of hepatitis C virus infection among pregnant women in Nigeria is low and those aware are positively influenced by young age and high educational level. The prevalence of hepatitis C virus infection is high and provides preliminary evidence to justify antenatal routine screening.
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.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".