Type-specific incidence, persistence and factors associated with human papillomavirus infection among female sex workers in Benin and Mali, West Africa
Bibliographic record
Abstract
OBJECTIVES: This study in female sex workers (FSWs) aimed to: (1) estimate type-specific incidence and persistence of human papillomavirus (HPV) infection in Cotonou (Benin) and Bamako (Mali); and (2) identify the factors associated with type-specific incidence and persistence of high-risk HPV (HR-HPV) infection. METHODS: A 1-year prospective cohort study on cervical cancer screening, and HPV and human immunodeficiency virus (HIV) infections was conducted among FSWs in Cotonou and Bamako from 2017 to 2019. Poisson regression models assessed factors associated with the incidence of HR-HPV infection, while log-binomial regression was performed to identify factors associated with the persistence of HR-HPV infection. Adjusted relative risks (ARR) and 95% confidence intervals (95% CI) were estimated. RESULTS: The incidence of HR-HPV infection was 46.98 per 1000 women-months (predominant types HPV16, HPV35 and HPV59). Factors associated with the incidence of HR-HPV infection were age <20 years (ARR 15.10; 95% CI 3.29-69.19), age at sexual debut <18 years (ARR 6.92; 95% CI 1.97-24.27) and sex work duration ≤1 year (ARR 7.40; 95% CI 1.84-29.69). The persistence of HR-HPV infection at 12 months was 38.7% (most persistent types HPV59, HPV52 and HPV51). Persistence of HR-HPV infection was higher in women with chlamydia (P = 0.031), HIV infection (P < 0.001) and multiple-type HPV infections (P < 0.001). CONCLUSION: FSWs in West Africa are at high risk of incident and persistent HR-HPV infection, suggesting an urgent need for cervical cancer screening in 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".