Assessment of sex-specific differences in adverse events following immunization reporting in Ontario, 2012–15
Bibliographic record
Abstract
We assessed sex-specific trends within passive vaccine safety surveillance in Ontario, Canada. AEFIs reported following vaccines administered between 2012 and 2015 were included. There were 2466 AEFI reports; 66.2% were female. Annualized reporting rates were 5.9 and 3.1 per 100,000 population, for females and males respectively. The female:male reporting rate ratio (RRR) was 1.9. Sex-specific differences by age group were greatest in adults 18-64years (RRR 6.3); whereas there were no differences in children <10years. Vaccine-specific RRRs were highest for vaccines recommended for routine use in adults or high risk populations. All event categories were female-predominant. The highest event-specific RRRs were for oculorespiratory syndrome (5.1), anaesthesia/paraesthesia (4.6) and anaphylaxis (3.0). Serious AEFIs (n=113) were more evenly distributed (57.5% female, RRR 1.3) than non-serious (66.6% female, RRR 1.9). AEFI reporting among females was consistently elevated within the passive surveillance system in Ontario. Further study of the relationship between sex/gender and AEFI reporting is needed.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".