Factors associated with HIV and syphilis infection among female sex workers in three cities in Papua New Guinea: findings from Kauntim mi tu, a biobehavioral survey
Bibliographic record
Abstract
Background In this paper, factors associated with HIV and syphilis infection in three cities in Papua New Guinea are explored. METHODS: Respondent-driven sampling surveys among FSW in Port Moresby, Lae, and Mt. Hagen (2016-17) were conducted. FSW who were aged ≥12 years, who were born female, who spoke English or Tok Pisin and who had sold or exchanged vaginal sex in the past 6 months were eligible to participate. Participants were interviewed face-to-face and offered rapid HIV and syphilis testing. Survey logistic procedures were used to identify factors associated with HIV and syphilis infection, including modern contraception use, physical violence and having a casual male partner. Weighted data analysis was conducted. RESULTS: Overall, 2901 FSW (Port Moresby, 673; Lae, 709; and Mt. Hagen, 709) were enrolled in the study. HIV prevalence was 15.2% in Port Moresby, 11.9% in Lae and 19.6% in Mt. Hagen. Factors associated with HIV varied by city; for example, use of modern contraception in Port Moresby, experiences of physical violence in Lae and ever having tested for HIV in Mt. Hagen. No one variable was associated with HIV in all cities. Prevalence of syphilis infection was 7.1%, 7.0%, and 3.0% in Port Moresby, Lae, and Mt. Hagen, respectively. Factors associated with syphilis infection also varied by city and were only significant in Lae. CONCLUSION: The different factors associated with HIV and syphilis infection in each city highlight the complex HIV and syphilis epidemics among FSW and the importance of conducting surveys in multiple locations and developing local interventions.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".