HIV seroprevalence among male prison inmates in the six countries of the Organization of Eastern Caribbean states in the Caribbean (OECS).
Bibliographic record
Abstract
OBJECTIVE: To determine HIV prevalence among male prison inmates in the six OECS countries in the Caribbean. SUBJECTS AND METHODS: Six unlinked, anonymous point prevalence surveys of a total of 1288 male inmates were conducted during a one-year period, August 2004 - August 2005. An oral fluid sample was collected and an interviewer-administered questionnaire and consent form was completed for each survey participant. RESULTS: The overall HIV prevalence was 2.8% (range 2.0-4.1%). Only 39% of all inmates had previously been tested, compared to 67% of the HIV-positive inmates. Of all inmates who previously tested, 61% had their last test less than two years ago, 45% had done so while in prison and 39% had done so in a hospital. Most of those who had not previously been tested had no particular reason for not doing so (57%); 24% of them felt it was not necessary or they were not at risk. CONCLUSION: HIV prevalence among male prison inmates was three times higher than the estimated OECS population prevalence in 2003, slightly higher than the prevalence among incarcerated males in the United States of America and Canada, and lower than that in other Caribbean countries in earlier years. Health information on prison populations is important as this is a vulnerable group, with frequent movement in and out of the general population. Preventative services, voluntary counselling and testing, and appropriate care and treatment should be available to all inmates as this is an opportunity for many who may not otherwise access these services.
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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".