The descriptive epidemiology of male sex workers in Pakistan: a biological and behavioural examination
Bibliographic record
Abstract
OBJECTIVES: There is a dearth of published information on the characteristics of sex workers in Pakistan. This study sought to characterise and compare hijra and non-hijra sex workers from eight large cities in Pakistan. DESIGN: χ(2) and Kruskal-Wallis tests, and multivariable logistic regression were used where appropriate. METHODS: Study respondents were described on demographic, sex-work, and risk behaviour variables using a cross-sectional integrated biological and behavioural quantitative survey. RESULTS: A total of 3350 respondents were surveyed, of which 2694 were included in the study. The average age of respondents was 24.1 years (SD 6.3), and the average duration of sex work was 7.5 years (SD 5.9). Respondents averaged 30.9 (SD 2.7) paid receptive anal sex acts in the month prior to their interview, while 21.5% reported using a condom during their last occurrence of paid anal sex. Of those surveyed, HIV prevalence was 5.4 per 1000; notably, no HIV-positive respondents reported any injection drug use. Finally, intercity heterogeneity was observed on demographic, sex work and risk behaviour characteristics, with almost all characteristics differing at the p < 0.01 level. CONCLUSIONS: Low levels of education, high volume of sex acts and suboptimal condom use makes for a potentially volatile situation. Information provided by this study can play an important role in designing effective prevention programmes, particularly in capturing heterogeneity in sex work between cities, and as evidence is accumulating that a shift in epidemic phase, as well as affected populations is occurring in Pakistan.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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".