Decline in the prevalence of HIV and sexually transmitted diseases among female sex workers in Cotonou, Benin, 1993–1999
Bibliographic record
Abstract
BACKGROUND: Within an ongoing HIV/STD prevention project aimed at female sex workers (FSW) in Cotonou, Benin, we evaluated time trends in HIV and STD prevalences from 1993 to 1999. DESIGN: Three serial cross-sectional surveys were conducted in 1993 (n = 374), 1995-1996 (n = 365), and 1998-1999 (n = 591). A questionnaire was administered to the FSW and they were screened for HIV, syphilis, Neisseria gonorrhoeae, and Chlamydia trachomatis. RESULTS: The mean percentage of condom use with clients in the week preceding the interview increased from 62.2% in 1993 to 80.7% in 1998-1999 (P = 0.0001). The prevalence of all infections decreased significantly (all P < 0.02; chi-square for trend) over time: HIV from 53.3% in 1993 to 40.6% in 1998-1999; syphilis from 8.9 to 1.5%; gonorrhoea from 43.2 to 20.5%; and chlamydia from 9.4 to 5.1%. However, the mean age of FSW decreased from 31.0 to 28.4 years between 1993 and 1998-1999. Moreover, the country of origin of these women changed dramatically over time: the proportion of Ghanaian women decreased from 66.3% in 1993 to 21.6% in 1998-1999 when the predominant group became Nigerian (38.0%). When controlling for age and country of origin, HIV prevalence was stable over time (P = 0.71), whereas the downward trend remained significant for syphilis and gonorrhoea (both P < 0.001), and was present but not significant for chlamydia (P = 0.13). CONCLUSION: These data suggest that the time trends in HIV and STD prevalences are partly due to the changing sex work milieu, but that the intervention also had an impact. Prevention programmes aimed at FSW should be highly prioritized.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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".