Intranasal influenza vaccine: Why does Canada have different recommendations from the USA on its use?
Bibliographic record
Abstract
Canada and the USA differ in their recommendations for the use of live attenuated influenza vaccine (LAIV). The Canadian National Advisory Committee on Immunization (NACI) continues to recommend LAIV as one of the influenza vaccines available for use in children 2 to 17 years of age. The US Advisory Committee on Immunization Practices (ACIP) made an interim recommendation against the use of LAIV for the 2016 to 2017 influenza season in response to low LAIV effectiveness observed in the USA during the 2013 to 2014 to 2015 to 2016 seasons. The recommendation has been continued for the 2017 to 2018 season. In response, NACI undertook a review of available LAIV effectiveness data in children and adolescents from Canada, the USA and a number of European countries. This commentary by Canada's Chief Public Health Officer summarizes the findings of that review and provides the rationale for Canada's current continued recommendation for LAIV use.
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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 | 0.019 | 0.074 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.013 | 0.017 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".