Canadian Pandemic Influenza Preparedness: Antiviral strategy
Bibliographic record
Abstract
Antiviral medications are the only influenza-specific pharmaceutical intervention that can be used to mitigate the impact of a pandemic until a vaccine becomes available.The Canadian Pandemic Influenza Preparedness: Planning Guidance for the Health Sector (CPIP) outlines how federal, provincial and territorial governments will work together to ensure a coordinated and consistent health sector approach to pandemic influenza preparedness and response.This article summarizes Canada's pandemic influenza antiviral strategy as described in the recently updated CPIP Antiviral Annex.The antiviral strategy builds on lessons learned during the 2009 H1N1 pandemic.Key elements of the strategy include ensuring equitable, timely and coordinated access to antivirals through government stockpiles; having regulatory mechanisms in place that facilitate timely access to antivirals; providing timely and evidence-based clinical guidance; maintaining effective stockpile management practices; and monitoring antiviral utilization, effectiveness and safety.Since the CPIP is an evergreen document, this Annex will be updated as new information warrants.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.020 | 0.006 |
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".