A pivotal time in global cervical cancer prevention: Examining young women's awareness about the human papillomavirous and attitudes towards the HPV vaccine in Durban, South Africa
Bibliographic record
Abstract
It is a pivotal time in cervical cancer prevention for young South African (SA) women. Cervical cancer and infection with human immunodeficiency virus are both major public health concerns in SA. This study describes knowledge of female adolescents and young adults (AYA) about HPV, cervical cancer and explores predictors of HPV vaccine and HPV self-sample testing acceptability. In this cross-sectional study, questionnaires were administered to 122 female AYA who involved in a longitudinal study (AYAZAZI) which examined risk factors involved with HIV acquisition. Results indicated that although awareness and knowledge about these topics was very low among participants, as were perceptions of risk of acquiring HPV and developing cervical cancer, acceptability was very high towards HPV vaccines for self (97%) and (future) children (95%), as well for self-sample testing (85%). No significant variables were found to be associated with risk perception or self-sample acceptance. A significant difference was found between participants’ perceived risk of acquiring HPV, HIV, and developing cervical cancer compared to the risk they felt other female AYA in their communities were at. The most influential sexual and reproductive health (SRH) information source and significant influences on HPV vaccine recommendations for participants were health care providers. Findings from this study are important in designing effective cervical cancer control programs that can attract more AYA for HPV vaccines and screening. As the HPV vaccine has only recently been introduced at a national level in SA, this study about awareness and vaccine acceptability is timely.
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".