Infections averted by a comprehensive HIV prevention intervention and its cost-effectiveness: a prospective cohort study of persons who inject drugs in Delhi, India
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper presents the cost-effectiveness of a WHO-recommended harm-reduction programme implemented among a cohort of persons who inject drugs in Delhi, India. We estimate the number of infections averted using Bernoulli process model and calculate cost-effectiveness ratio as the total programme cost per infection averted. The intervention averted 996 HIV infections over 36 months, with a cost-effectiveness ratio of INR 24,763 (US$ 476) per infection averted per year. The first phase, when HIV testing and counselling were initiated, was more cost-effective than the second phase when full intervention package, including needle-syringe exchange, condom distribution, harm-reduction education, etc., was implemented.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it