98 Public Health Impact of the Canadian Paediatric Surveillance Program (CPSP)
Bibliographic record
Abstract
To describe public health actions arising from CPSP studies. Clinicians reported specific uncommon diseases/conditions with high morbidity and mortality monthly to the CPSP. For case reports, treating physicians were sent standardized questionnaires requesting clinical data. Over 2400 paediatricians, including paediatric specialists, participated with a response rate of 83% for initial reports and 95% for detailed questionnaires showing that the CPSP is a timely, purposeful and action-oriented surveillance tool. Implications of study results are two-fold: first, demonstrating the impact of vaccines on diseases, the importance of genetic screening, and the astuteness of specific guidelines; and second, identifying the need for such targeted public health strategies as: Implementation of universal varicella immunization – 61% of confirmed necrotizing fasciitis cases were preceded by varicella; Herpes vaccine development – neonatal herpes infection study established pre-vaccine baseline incidence data, demonstrated that 63% of cases were HSV-1 and 40% of mothers were unaware of their infections; Improved educational interventions for vitamin D dietary supplementation – identified vitamin D deficiency rickets at risk population as darker-skinned, breast-fed infants (58); Timely detection and close follow-up of termed jaundiced newborns, often discharged early – neonatal hyperbilirubinemia study confirmed 145 cases; Mandatory ban of baby walkers – survey documented at least 132 current injuries; Development and mandatory use of weight-size appropriate car restraints and booster seats – survey identified 47 lap-belt syndrome injuries. Systematic analyses, interpretation and dissemination of CPSP study findings has identified important public health actions which benefit Canadian children and their families.
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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 | 0.012 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.010 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".