Paediatric meningococcaemia in northwestern Ontario, Canada: a case for publicly funded meningococcal B vaccination
Bibliographic record
Abstract
Introduction: Neisseria meningitidis serogroup B is an important infectious agent in developed countries, including Canada. Infants are particularly susceptible to infection with serogroup B because of immature immune systems, pathogen virulence factors and changing serogroup dynamics in the post-vaccination era. Currently, the Ontario provincial government does not include serogroup B in its routine publicly funded meningococcal vaccination program. Case Presentation: A formerly well 14-month-old male presented to a tertiary hospital emergency department with fever, minor respiratory problems, diffuse purpuric rash, distended abdomen, tachycardia, and history of one episode of vomiting and melena each. Meningococcaemia was immediately suspected, and he was treated with ceftriaxone, cefotaxime and vancomycin before transfer to a different acute care facility within 12 h. N. meningitidis serogroup B, sensitive to ceftriaxone and penicillin, was identified in his blood. The patient developed gangrene of the lower legs and underwent bilateral below-knee amputation 8 days post-admission. Conclusion: This instance of meningococcaemia with extensive sequelae is an example of the various serious outcomes of meningococcal infection. It provides persuasive reason for routine publicly funded vaccination against N. meningitidis serogroup B in Ontario.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".