Canada's Best Shot: Policies to Improve Childhood Immunization Coverage
Bibliographic record
Abstract
Despite high coverage overall, routine childhood immunization coverage rates vary across Canada, and are in decline in some regions. Numerous systematic and social factors affect vaccine uptake, including access to healthcare services, vaccine hesitancy, and misinformation. Interviews with public health stakeholders, a review of international best practices in selected countries, and case studies of British Columbia, Alberta, Manitoba, and Ontario identify relative successes and limitations to inform potential policy interventions. This study assesses four policies: mobile immunization clinics, school reporting structures, provider incentives, and extended recall-reminder programs. While jurisdictions have improved accessibility of immunization services, further steps are needed to prompt behavioural change among hesitant parents of under-immunized children. To promote widespread immunization coverage, facilitate data collection, and enhance outbreak management, mobile outreach and immunization clinics are recommended, along with province-wide immunization requirements for school entry. Developing electronic immunization registries remains a foundational priority to target policies for under-vaccinated populations.
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".