Sex work, Syphilis, and Seeking Treatment: An Opportunity for Intervention in HIV Prevention Programming in Karnataka, South India
Bibliographic record
Abstract
OBJECTIVES: To measure the determinants of syphilis among female sex workers (FSWs) in the state of Karnataka, South India. METHODS: During 2004-2006, cross-sectional surveys were administered to 2312 FSWs across 5 districts in the state, in the context of a large-scale HIV preventive intervention program. Demographic and behavioral information, and serum (for syphilis, HSV-2 and HIV) and urine specimens (for Neisseria gonorrhoeae and Chlamydia trachomatis) were obtained. RESULTS: The prevalences of lifetime (TPHA positive) and active (RPR and TPHA positive) syphilis were 25.3% and 9.6%, respectively. There was considerable variation in the prevalence between districts, ranging from 10.9% to 37.4% lifetime, and 3.4% to 24.9% active infection. Factors associated with lifetime syphilis were older age, longer duration of sex work, illiteracy, client volume, practising sex work in >1 city, and sex work typology (public solicitation followed by brothel or lodge-based sex). The same typology, client volume, illiteracy, and having been widowed, divorced or deserted, were predictive of active infection. Of the 976 women who had symptoms of an STI, 78.8% had sought medical treatment, behavior that was protective for both outcomes. HIV infection was strongly associated with lifetime (OR 2.0; 95% CI: 1.6-2.6) and active syphilis (OR 2.1; 95% CI: 1.5-2.9). CONCLUSIONS: Despite reasonable treatment-seeking behavior, the high prevalence of syphilis has necessitated enhanced outreach efforts for FSWs and acceleration of the implementation of syphilis screening. Mobilizing resources to enhance syphilis control will not only reduce the burden of syphilis morbidity, but should impact in reducing HIV transmission.
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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 | 0.002 |
| 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 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".