Vaccine effectiveness of BNT162b2 against Omicron and Delta outcomes in adolescents
Bibliographic record
Abstract
Abstract Introduction Data on vaccine effectiveness (VE) against Omicron in adolescents are limited. We estimated 2-dose and 3-dose VE against Omicron and Delta in adolescents aged 12-17 years in Ontario, Canada. Methods We conducted a test-negative design study among SARS-CoV-2-tested adolescents aged 12-17 years between November 22, 2021 (date of first Omicron detection) and March 6, 2022; we assessed Delta outcomes prior to January 2, 2022. We used multivariable logistic regression to compare the odds of vaccination in cases to symptomatic test-negative controls and calculated VE as 1-adjusted odds ratio. Results VE was lower against symptomatic Omicron infection than against Delta and decreased more rapidly over time, from 51% (95%CI, 38-61%) in the 7-59 days following a second dose to 29% (95%CI, 17-38%) after 180 days, compared to 97% (95%CI, 94-99%) and 90% (95%CI, 79-95%) for the same intervals against symptomatic Delta infection. Overall, 2-dose VE against severe outcomes caused by Omicron was 85% (95%CI, 74-91%) ≥7 days following a second dose and estimates were similar over time. VE against symptomatic Omicron infection was 62% (95%CI, 49-72%) ≥7 days following a third dose. Discussion Two-dose VE against symptomatic Omicron infection wanes over time in adolescents. While lower than observed against Delta, protection against severe outcomes appears to be maintained over time. A third dose substantially improves protection against Omicron infection, but 3-dose VE is only moderate at approximately 60% in the early period following vaccination and the duration of this protection is unknown.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".