Pneumonia After Implementation of the Pneumococcal Conjugate Vaccine Program in the Province of Quebec, Canada
Bibliographic record
Abstract
BACKGROUND: In Canada, a pneumococcal conjugate vaccine was licensed in 2001, and in the province of Quebec, a publicly-funded program was implemented for high-risk children in 2002, using a 4-dose schedule, and for all children in 2004, using a 3-dose schedule. OBJECTIVES: To describe the epidemiology of hospitalized pneumonia in the population aged <5 years. METHODOLOGY: Hospital discharge records with a main diagnosis of pneumonia, pleurisy, or empyema were analyzed regarding monthly frequencies by diagnostic categories, duration of stay, proportion of cases admitted to the intensive care unit, and case fatality. RESULTS: Lobar pneumonia represented 32% of 25,319 all-cause pneumonia admissions during the period April 1997 to March 2006. Beginning in the spring of 2004, there was a marked decrease in the frequency of lobar pneumonia, whereas unspecified pneumonia tended to increase to a lesser extent. Compared with the pre-pneumococcal conjugate vaccine period, admissions for all-causes pneumonia decreased by 13% after program implementation and there was no increase in empyema cases. CONCLUSIONS: Results are reassuring as to the effectiveness of the pneumococcal vaccination program in Quebec.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| 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".