Optimal Allocation of Treatment & Retention Resources for the Vancouver HIV Continuum of Care
Bibliographic record
Abstract
Vancouver’s continuum of HIV care involves testing, clinical assessment, engagement in care, highly active antiretroviral therapy (HAART), treatment support and retention in care. Effective delivery of these services can significantly impact the HIV epidemic, because patients adherent on HAART are essentially non-infectious. This work presents epidemiological modelling and optimization to assess the influence of a pilot project improving HAART access (STOP HIV/AIDS), and to optimize resource allocation among HIV treatment and retention programs for minimizing morbidity, mortality, and new HIV infections. Optimal solutions are obtained for men who have sex with men, injection drug users and female sex workers. The models are systems of ordinary differential equations. Parameters are estimated using data from the British Columbia Centre for Excellence in HIV/AIDS, Vancouver Coastal Health, published sources and expert opinion. The methods developed here are applicable to the optimization of health systems in various contexts and jurisdictions.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".