A Tale of Two Countries: HIV Among Core Groups in Togo
Bibliographic record
Abstract
OBJECTIVE: To describe the epidemiology of HIV among core groups in Togo. METHODS: We enumerated sex workers (SWs) and conducted cross-sectional surveys of SWs and their clients in 2003 in Lomé and in 2005 in the whole country. RESULTS: Sex work was concentrated in Lomé, which comprised 15% of the population, but 52% of the 5397 SWs enumerated in Togo in 2005 and 68% of the estimated 101,376 men who had bought sex in the year before the 2005 survey. HIV prevalence among SWs was highest in Lomé (45.4% in 2005) and progressively decreased from south to north. A similar geographical pattern was seen for clients (8.3% were HIV infected in Lomé in 2005) and had already been reported for pregnant women. In Lomé, the population attributable fraction of prevalent cases of HIV acquired during transactional sex was estimated at 32%; in the rest of the country, this was only 2%. CONCLUSIONS: This is the first study quantifying sex work at a national level in Africa. Variations in HIV prevalence within Togo, with a north-south gradient among SWs, their clients, and pregnant women, may to a large extent reflect the concentration of the sex trade within Lomé. Prostitution played only a modest a role in HIV dynamics outside Lomé.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 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".