The Impact of Childhood Meningococcal Serogroup C Conjugate Vaccine Programs in Canada
Bibliographic record
Abstract
BACKGROUND: Conjugate meningococcal vaccines may decrease the incidence of disease. The staggered implementation of universal childhood meningococcal C conjugate (MenC) immunization programs across Canada offers an opportunity to evaluate the influence of these programs. METHODS: From 2002 to 2006, we conducted active, population-based surveillance for adult and pediatric hospital admissions related to meningococcal infections at the 12 centers of the Canadian Immunization Monitoring Program, Active (IMPACT), in collaboration with local public health officials. RESULTS: A total of 376 cases were reported during the 5 years of surveillance. Yearly totals were as follows: 96 in 2002, 73 in 2003, 81 in 2004, 58 in 2005, and 68 in 2006. Case fatality was 9.3% and adults had a significantly higher case fatality rate than children.Average incidence per 100,000 was 0.62 (95% confidence interval [CI]: 0.50-0.76) in 2002 and 0.42 (95% CI: 0.32-0.53) in 2006. The highest rates were in children age 0 to 4 years, followed by adolescents age 15 to 19 years. Incidence of group C disease decreased significantly during the 5 years from 0.23 (95% CI: 0.16-0.32) in 2002 to 0.08 (95% CI: 0.04-0.14) in 2006, whereas incidence remained stable for groups B, Y, and W135. The decrease in group C disease was seen in provinces that first implemented MenC immunization programs. CONCLUSIONS: A substantial decrease in group C incidence occurred in provinces with early MenC immunization programs. Serogroup C incidence remained stable in provinces without MenC programs. We found no evidence of serogroup replacement.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".