Impact of the 13-valent pneumococcal conjugate vaccine on acute otitis media and acute sinusitis epidemiology in British Columbia, Canada
Bibliographic record
Abstract
BACKGROUND: Numerous studies have characterized the 13-valent pneumococcal conjugate vaccine (PCV13) programme's beneficial effects on acute otitis media (AOM) and acute sinusitis (AS) rates in children; however, few studies have examined the impact on adults. OBJECTIVES: This retrospective cohort study evaluates the overall effect of the PCV13 immunization programme on the incidence of AOM and AS at the population level. METHODS: Health administrative databases were linked to assess outpatient visits, hospitalizations and antibiotic utilization from 2000 to 2018. Multivariable Poisson regression was used to evaluate the impact of the PCV13 vaccine programme (2011-18) compared with the pre-PCV13 era (2000-10), overall and by age. RESULTS: From 2000 to 2018, the incidence of AOM decreased by 50% (62 to 31 per 1000 population) while sinusitis decreased by 18% (33 to 27 per 1000 population). In the PCV13 era, the incidence of AOM declined [incidence rate ratio (IRR): 0.70; 95% CI: 0.70-0.70], in parallel with decreased incidence of antibiotic utilization (IRR: 0.65; 95% CI: 0.64-0.65). A reduction was also observed in the incidence of AS during the PCV13 era compared with the pre-PCV13 era (IRR: 0.88; 95% CI: 0.88-0.88), mainly driven by declines among those younger than 65 years of age. In contrast, an increase in AS incidence was noted in individuals aged ≥65 years (IRR: 1.03; 95% CI: 1.02-1.03). A decrease in antibiotic prescription rates for sinusitis was observed for those under 65 years of age. CONCLUSIONS: The PCV13 immunization programme is associated with a reduction in the incidence of AOM and AS. Moreover, the associated use of antibiotics for these diagnoses has comparably decreased across paediatric, as well as adult populations.
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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 | 0.002 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".