Hepatitis B virus and HIV co-infection among pregnant women in Rwanda
Bibliographic record
Abstract
Background: Hepatitis B virus (HBV) affects people worldwide but the local burden especially in pregnant women and their new born babies is unknown. In Rwanda HIV-infected individuals who are also infected with HBV are supposed to be initiated on ART immediately. HBV is easily transmitted from mother to child during delivery. We sought to estimate the prevalence of chronic HBV infection among pregnant women attending ante-natal clinic (ANC) in Rwanda and to determine factors associated with HBV and HIV co-infection. Methods: This study used a cross-sectional survey, targeting pregnant women in sentinel sites. Pregnant women were tested for hepatitis B surface antigen (HBsAg) and HIV infection. A series of tests were done to ensure high sensitivity. Multivariable logistic regression was used to identify independent predictors of HBV-HIV co-infection among those collected during ANC sentinel surveillance, these included: age, marital status, education level, occupation, residence, pregnancy and syphilis infection. Results: The prevalence of HBsAg among 13,121 pregnant women was 3.7% (95% CI: 3.4-4.0%) and was similar among different socio-demographic characteristics that were assessed. The proportion of HIV-infection among HBsAg-positive pregnant women was 4.1% [95% CI: 2.5-6.3%]. The prevalence of HBV-HIV co-infection was higher among women aged 15-24 years compared to those women aged 25-49 years [aOR = 6.9 (95% CI: 1.8-27.0)]. Women residing in urban areas seemed having HBV-HIV co-infection compared with women residing in rural areas [aOR = 4.3 (95% CI: 1.2-16.4)]. Women with more than two pregnancies were potentially having the coinfection compared to those with two or less (aOR = 6.9 (95% CI: 1.7-27.8). Women with RPR-positive test were seemed associated with HBV-HIV co-infection (aOR = 24.9 (95% CI: 5.0-122.9). Conclusion: Chronic HBV infection is a public health problem among pregnant women in Rwanda. Understanding that HBV-HIV co-infection may be more prominent in younger women from urban residences will help inform and strengthen HBV prevention and treatment programmes among HIV-infected pregnant women, which is crucial to this population.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".