Herpes simplex virus type 2 infection among young uncircumcised men in Kisumu, Kenya
Bibliographic record
Abstract
OBJECTIVES: To identify factors associated with herpes simplex virus type 2 (HSV-2) infection among men aged 18-24 in Kisumu, Kenya. METHODS: Baseline data from a randomised trial of male circumcision were analysed. Participants were interviewed for sociodemographic and behavioural risks. The outcome was HSV-2 by antibody status. Risk factors were considered singly and in combination through logistic regression models. RESULTS: Among 2771 uncircumcised men, 766 (27.6%; 95% confidence interval (CI) 26.0% to 29.3%) tested antibody positive for HSV-2. The median age at first sex was 16 years, and the median number of lifetime sexual partners was four. HSV-2 seroprevalence increased from 19% among 18-year-olds to 43% among 24-year-olds (p<0.001). In multivariable analysis, statistically significant risks for infection were increasing age (adjusted odds ratio (AOR) = 1.22-2.58), being married or having a live-in female partner (AOR = 1.80; 95% CI 1.28 to 2.53), preferring "dry" sex (AOR = 1.39; 95% CI 1.14 to 1.69), reported penile cuts or abrasions during sex (AOR = 1.58; 95% CI 1.32 to 1.91), increasing lifetime sex partners (multiple response categories; AORs ranging from 1.65 to 1.97), and non-student occupation (multiple response categories; AORs ranging from 1.44 to 1.93). Risk decreased with reported condom used at last sex (AOR = 0.82; 95% CI 0.68 to 0.99). CONCLUSION: Primary prevention efforts should be initiated at an early age. The same behavioural interventions used currently for HIV prevention-abstinence, reducing the number of sex partners and increasing condom use-should be effective for HSV-2 prevention.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.002 | 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".