Herpes Simplex Virus Seroprevalence and Risk Factors in 2 Canadian Sexually Transmitted Disease Clinics
Bibliographic record
Abstract
In Brief Objectives: The objectives of this study were to determine the seroprevalence and risk factors for herpes simplex virus (HSV) types 1 and 2 in patients attending 2 Canadian sexually transmitted disease (STD) clinics. Study: Stored sera were tested for the presence of IgG class antibodies to HSV-1 and HSV-2 and results linked to that obtained from a risk behavior questionnaire. Results: Overall prevalences for HSV-1 and -2 were 56% and 19%, respectively. HSV-1 and -2 seropositivity was associated with increasing age, female gender, nonwhite ethnicity, and a history of STD. HSV-2 seropositivity was also associated with a history of genital herpes, presence of genital sores, and coinfection with either human immunodeficiency virus (HIV) or hepatitis C (HCV). Conclusions: Herpes simplex infection is common in this high-risk Canadian population. Our finding that HCV seropositivity was a significant predictor for HSV-2 seropositivity emphasizes the overlap between pathogens that are primarily thought to be bloodborne pathogens and sexually transmitted infections and the need to target prevention in these areas concurrently. This study in patients attending 2 Canadian sexually transmitted disease clinics showed that a number of factors were associated with herpes simplex virus (HSV) type 1 and 2 seropositivity and emphasized the association between hepatitis C, a pathogen which is usually bloodborne, and HSV-2, a sexually transmitted pathogen.
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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 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".