Bioeconomic Modelling of Raccoon Rabies Spread Management Impacts in Quebec, Canada
Bibliographic record
Abstract
Beginning in 2006, point infection control operations and aerial distribution of oral rabies vaccines along the US border were performed in Quebec, Canada, to control the potential spread of raccoon rabies. A benefit-cost analysis assessed the economic efficiency of this rabies control programme into the future. In this study, a mathematical simulation model was used to determine the potential spread of raccoon rabies from the 2006 index case, and incidence rates of human post-exposure prophylaxis (PEP), animal testing and human exposure investigations were calculated. Benefits were calculated as the potential savings from reduced numbers of human PEP, animal testing and human exposure investigations owing to control, which ranged from $47 million to $53 million. Programme cost scenarios were based on projections of total expenditures, which ranged from $33 million to $49 million. Economic efficiency was indicated for approximately half of the modelled scenarios, with the greatest benefit-cost ratios resulting from reduced future programme costs.
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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".