8th Canadian Immunization Conference
Bibliographic record
Abstract
BACKGROUND:In December 2004, a 3-dose (2, 4, & 12 months) PCV7 program was implemented for routine immunization of infants along with "passive" catch-up vaccination for children aged up to 4 years.Uptake was high and 90% of children aged 2 months at the launch of the program had received = 3 doses by age 2 years.PURPOSE: To analyse age-specific trends in IPD incidence and serotype distribution.METHODOLOGY: IPD cases were extracted from the provincial registry of notifiable disease which is essentially based on reports from public hospital laboratories and the provincial reference laboratory.RESULTS: Overall IPD incidence decreased from 10.9/100,000 personyears in 1999-2001 (before PCV was licensed in Canada) to a minimum of 8.6/100,000 in 2006, and increased to 9.8/100,000 in 2007.The same pattern was observed in all age groups.The initial decrease was associated with a diminishing occurrence of PCV7 serotypes and was most marked in children aged less than 2 years.In this age group, the incidence of PCV7 serotypes (adjusted for incomplete serotype identification) decreased from 87.3/100,000 in 1999-2001, to 4.4/100,000 in 2007 (95% reduction).The secondary increase was caused by PCV-related serotypes (mainly 19A), and non-PCV7 serotypes (mainly 12F, 33A and 7F), and was also more marked in children aged less than 2 years than in older age groups.CONCLUSION: Direct vaccine protection in conjunction with herd immunity are competing with clonal evolution and ecological replacement involving Sp serotypes not included in or imperfectly covered by PCV7.Nobody knows where and when equilibrium between these two antagonist forces will be reached.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.397 | 0.144 |
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".