Baseline Epidemiology of <i>Streptococcus pneumoniae</i> Serotypes in Canada Prior to the Introduction of the 13-Valent Pneumococcal Vaccine
Bibliographic record
Abstract
Changes in the epidemiology of Streptococcus pneumoniae were reported worldwide after the introduction of the 7-valent pneumococcal vaccine, particularly an increase in multi-drug resistant (MDR) 19A strains. Subsequently, a 13-valent pneumococcal vaccine (PCV-13) has been introduced. This study assessed the incidence of S. pneumoniae serotypes in all age groups prior to the introduction of PCV-13 in Canada (2007-2009). Eight hundred S. pneumoniae isolates from respiratory specimens and blood cultures were collected as part of a Canadian surveillance study (CANWARD) from patients in 15 tertiary-care centers. Serotyping was performed by the Quellung method and antimicrobial susceptibility testing was performed by broth microdilution in accordance with the Clinical and Laboratory Standards Institute guidelines. The most common serotypes were 19A (8.6%), 3 (7.3%), 22F (6.0%), 4 (4.6%), 5 (4.4%), and 11A (4.4%); and the first serotype 6D isolate in Canada was identified. Serotypes 5, 7F, and 19A were significantly (p<0.001) more frequently isolated from bloodstream infections. Considerable serotype variability was noted for different age groups: 15B (p<0.01) and 19A (p<0.001) were more frequently isolated from children ≤2 years old. Overall, 46.4% of currently circulating S. pneumoniae serotypes in Canada are included in PCV-13. Notably, 87.5% of MDR-S. pneumoniae were covered by PCV-13. Accordingly, PCV-13 will provide coverage against a significant proportion of circulating S. pneumoniae strains in Canada, including the critical antimicrobial-resistant strains.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".