Molecular Epidemiology of High-Risk Human Papillomavirus Infection in Burkina Faso
Why this work is in the frame
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Bibliographic record
Abstract
The aim of the present study was to determine the distribution of high-risk human papillomavirus (HR-HPV) genotypes in childbearing age women, teenage girls, HIV-infected women, women with high-grade precancerous lesions and cervical cancer, sex workers, men, and otolaryngology tumor cases in Burkina Faso. This descriptive cross-sectional study with several target groups, consisted of 2386 samples from Burkina Faso. HR-HPV genotypes were characterized using real-time multiplex PCR. The prevalence of HR-HPV ranged from 15.63 to 72.31% depending on the target population and the nature of the samples. The most predominant genotypes in descending order were HPV-56, HPV-52, HPV-39, HPV-59, HPV-51, HPV-35, HPV-31, HPV-18, HPV-68, HPV-16, HPV-66, HPV-58, HPV-45, and HPV-33. The results of the present study show a wide variation in the distribution of HR-HPV genotypes in Burkina Faso. Genotypes 16 and 18 covered by HPV vaccines only accounted for 32.23% of HR-HPV cases.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 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 it