Genotypic distribution of human oncogenic papillomaviruses in sexually active women in Burkina Faso: Central, Central-Eastern and Hauts-Bassins regions
Bibliographic record
Abstract
Objective this study was conducted to determine the distribution of high-risk human papillomavirus (HR-HPV) genotypes in women in the general population of three regions of Burkina Faso. Method This multicenter, descriptive cross-sectional study involved 1321 sexually active women in five cities in three regions of Burkina Faso: Central, Central-Eastern and Hauts-Bassins regions. After collection of endocervical specimens, pre-cervical lesions were screened by visual inspection with acetic acid and lugol (VIA / VILI). HR-HPV genotypes were characterized by multiplex real-time PCR after extraction of viral DNA. Results The mean age of women was 31.98 ± 10.09 years. The HR-HPV infection in the three regions ranged from 26.16% to 43.26% with 35.42% as overall prevalence in women. The most common HR-HPV genotypes in descending order were: HPV 56, 52, 66, 59, 39, 51, 18, 35. The prevalence of bivalent vaccine genotypes (HPV16 / 18) was 7.83% against 63.78% of genotypes not covered by HPV vaccine; 36.32% (170/468) of women had multiple concomitant HR-HPV infections. Conclusion this study showed significant regional variation and high prevalence of HR-HPV infection in women. The predominant genotypes differ from those covered by available vaccines in Burkina Faso. These results will help guide our health policies towards better prevention of cervical cancer. The diversity of oncogenic genotypes is sparking a large-scale study in the West African sub-region, particularly in cases of cancer and the introduction of the nonavalent vaccine which includes HPV 52 found among the predominant genotypes in this study.
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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 | 0.001 | 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) | 0.001 | 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".