Effects of Routine Infant Vaccination With the 7-Valent Pneumococcal Conjugate Vaccine on Nasopharyngeal Colonization With Streptococcus pneumoniae in Children in Calgary, Canada
Bibliographic record
Abstract
BACKGROUND: All Streptococcus pneumoniae disease is preceded by nasopharyngeal (NP) colonization. We studied the impact of 7-valent pneumococcal conjugate vaccine (PCV7) on colonization in healthy children. METHODS: Routine PCV7 vaccination began in Alberta in 2002. Six point prevalence surveys were conducted from 2003 to 2005, in 7 community health centers in Calgary where children had their routine vaccinations. A questionnaire was administered and a single NP swab was obtained for culture. Serotyping was performed on all S. pneumoniae isolates. RESULTS: There were 3398 children with complete data, 1307, 1225, and 866 in 12-month, 18-month, and 4-6 year groups, respectively. None had received PCV7 in survey 1. From survey 2 onwards, 92-98% of 12-month-olds had 3 or more doses of PCV7, and from survey 3 onwards, 95-99% of 18-month-olds had 3 or more doses. By survey 6, only 4% of 4-6 year olds had 3 or more doses. The overall S. pneumoniae colonization rate was 20%. In all age groups, including unvaccinated 4-6 year olds, there were significant declines in PCV7 serotypes, and increases in non-PCV7 serotypes. The largest increases were serotypes 6A, 15C, and 11A. Multivariate analysis found that factors including age, siblings, daycare attendance, episodes of otitis media, and antibiotic use affected S. pneumoniae colonization but only PCV7 vaccination was associated with decreased PCV7 serotype colonization and increased non-PCV7 colonization. CONCLUSIONS: Routine PCV7 vaccination has led to significant changes in the predominant S. pneumoniae serotypes found in NP colonization in both vaccinated and unvaccinated children, indicating both a direct and herd effect.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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".