Sexual Risk Behaviors of Sex Workers for HIV / AIDS and STIs in the City of Bamako, Mali
Bibliographic record
Abstract
Background: HIV / AIDS affects all social strata and including female sex workers who are a particularly vulnerable group at risk of HIV infection. Objective To assess the risky sexual behavior of female sex workers in Bamako, Mali. Methods This is a quantitative cross-sectional analytical study conducted among 288 female sex workers in the city of Bamako, Mali. This study used a questionnaire to collect information from January to April 2021. Results Out of 288 sex workers, 41% came from neighboring countries (Burkina Faso, Cote d'Ivoire, Mauritania). More than half of the participants had started working as sex workers before the age of 20. More than half of sex workers do not always use a condom. About 32% of female sex workers had previously had anal sex, 20% had experienced group sex, and less than a quarter smoked or drank alcohol before sex. A significant relationship was found between the behavior or practice of sex workers with the following variables: ethnicity (P = 0.04); marital status (P = 0.01); monthly income (P = 0.001), age at first sexual intercourse (P = 0.03); the presence of STDs in the past (P = 0.02), knowledge of HIV status (P = 0.04) and nationality (P = 0.03). Conclusions This study highlights negative risk behaviors of sex workers such as not using condoms consistently, anal sex, alcohol, and smoking. It is therefore important to develop education actions to improve the knowledge, attitude, and practice of sex workers related to HIV/ AIDS in Mali.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".