Molecular Epidemiology of High-Risk Human Papillomavirus Infection in Burkina Faso
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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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".