Estimating the costs and benefits of screening monogamous, heterosexual couples for unrecognised infection with herpes simplex virus type 2
Bibliographic record
Abstract
OBJECTIVES: Herpes simplex virus type 2 (HSV-2) is the most common cause of ulcerative genital disease in the United States, but infection is commonly unrecognised. Serological screening tests could identify discordantly infected couples and permit targeted interventions to limit HSV-2 transmission. Our objective was to evaluate the projected cost effectiveness of strategies to prevent HSV-2 transmission in couples with no history of HSV-2 infection. METHODS: We created a mathematical model to simulate the natural history and costs of HSV-2 transmission, and the expected impact of HSV-2 prevention strategies in monogamous, heterosexual couples. Strategies evaluated included (i) no screening; (ii) universal condom use; and (iii) serological screening for HSV-2 with condom use targeted to discordant couples. Screening tests considered included western blot (WB), ELISA, and ELISA with confirmation of positive test results using WB (ELISA-->WB). RESULTS: Compared to no screening, the use of ELISA-->WB prevented 38 future infections per 1000 couples, with a cost effectiveness ratio of $8200 per infection averted. The use of WB in all couples had an incremental cost effectiveness ratio of $63 600 per infection averted. Strategies of ELISA alone and universal condom use were not cost effective. The cost effectiveness of ELISA-->WB improved with increasing prevalence of HSV-2, but worsened with decreasing condom compliance. Screening with ELISA alone was a reasonable strategy only when ELISA specificity increased to 99%. CONCLUSIONS: Serological screening for unrecognised HSV-2 infection in monogamous, heterosexual couples is expected to decrease the incidence of HSV-2 infection, but increase healthcare costs. For couples choosing to be screened, a two step testing strategy (ELISA-->WB) is recommended. Recommendations for a national policy to conduct serological screening will depend on the value placed on averting an incident HSV-2 infection.
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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 | 0.002 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".