Rapid Adverse Event Following Immunization (AEFI) Surveillance Following a Mass Meningococcal B Vaccine Program in a University Setting: A Canadian Immunization Research Network (CIRN) Study
Bibliographic record
Abstract
Background. On 15 February 2015 an institutional outbreak of Neisseria meningitidisserotype B (MenB) was declared at a small residential university in Nova Scotia following 2 cases (death on 1 February; meningococcemia on 11 February); public health initiated a mass vaccination program 15 February. Methods. The purpose of this study was to detect clinically significant AEFI (defined as a health care visit (HCV) in the 8 days post-vaccine) during a 2-dose 4 Component MenB vaccine (Bexero, Novartis Vaccines) campaign given in a 0, 1 month schedule. Public health clinics were held 18 February-21 April. Day 8 after the last set of clinics for each vaccine dose, all students received an email invitation to complete an online survey. Non-recipients of vaccine were invited to complete a control survey to detect HCV for any reason. The survey used the methods of the CIRN Canadian National Vaccine Safety Network (CANVAS) (http://cirnetwork.ca/network/national-ambulatory-network/method). Results. Vaccine uptake was 84.8% for dose 1 (2967/3500) and 70% for dose 2 (2456/3500). Most vaccinees were 20-29 years of age (68.5%, 674/984 and 66.6%, 302/453, for doses 1 and 2, respectively). Among 984 vaccinees and 53 controls responding after dose 1, 40 had a HCV (3.9% vaccinees, 3.8% controls); 12 agreed to a phone interview. The most common complaint was “sore arm” and “systemically unwell”. Among 463 vaccinees and 10 controls post dose 2, 22 had a HCV (4.7% vaccinees). Onset of AEFI leading to HCVs occurred within 2-34 hours in most vaccinees (62% post dose 1 and 80% post dose 2).) No hospitalizations or severe AE were reported. Conclusion. A rapid AEFI surveillance program during an emergency MenB vaccination program was welcomed by public health and university administration, did not identify safety signals, and provided reassurance to the community. Disclosures. All authors: No reported disclosures.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".