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Record W1024192544 · doi:10.1016/j.vaccine.2015.07.044

Randomized evaluation of live attenuated vs. inactivated influenza vaccines in schools (RELATIVES) cluster randomized trial: Pilot results from a household surveillance study to assess direct and indirect protection from influenza vaccination

2015· article· en· W1024192544 on OpenAlexafffundabout
Jeffrey C. Kwong, Jennifer Pereira, Susan Quach, Rosana Pellizzari, Edwina Dusome, Margaret L. Russell, Jemila S. Hamid, Yael Feinberg, Anne‐Luise Winter, Jonathan B. Gubbay, Brittany Sirtonski, Deanna Moher, Doug Sider, Michael Finkelstein, Mark Loeb

Bibliographic record

VenueVaccine · 2015
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsToronto Public HealthMcMaster UniversitySt. Michael's HospitalInstitute for Clinical Evaluative SciencesUniversity of CalgaryPublic Health OntarioUniversity of TorontoUniversity Health Network
FundersCanadian Institutes of Health ResearchHealth CanadaPublic Health AgencyUniversity of TorontoOntario Ministry of Health and Long-Term CareF. Hoffmann-La Roche
KeywordsVaccinationRandomized controlled trialMedicineLive attenuated influenza vaccineCluster (spacecraft)Seasonal influenzaImmunologyVirologyInfluenza vaccineEnvironmental healthFamily medicineCoronavirus disease 2019 (COVID-19)Internal medicineDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Children are key drivers of influenza transmission. Vaccinating school age children decreases influenza in the community. OBJECTIVE: To pilot-test the methods for a future trial to compare the direct and indirect benefits of inactivated influenza vaccine (IIV) vs. live attenuated influenza vaccine (LAIV) in preventing influenza infection. METHODS: During the 2013-14 influenza vaccination campaign, we piloted an open-label cluster randomized trial involving 10 elementary schools in Peterborough, Ontario, Canada. We randomized schools on a 1:1 basis to have students receive IIV or LAIV. We invited a subset of vaccinated students and their households to participate in a surveillance sub-study, which involved completing daily symptom diaries during influenza season and collecting mid-turbinate swabs from symptomatic individuals to detect influenza infection. The main outcome measure was confirmed influenza infection using a real-time reverse transcriptase polymerase chain reaction (PCR) assay. RESULTS: One hundred and nineteen households (166 students and 293 household members) participated. During 15 weeks of surveillance, we detected 22 episodes of PCR-confirmed influenza (21 influenza A/H1N1 and 1 influenza B). The incidence of influenza per 1000 person-days was 1.24 (95% CI, 0.40-2.89) for IIV-vaccinated students, compared to 0.13 (95% CI, 0.003-0.72) for LAIV-vaccinated students; the incidence rate ratio was 0.10 (95% CI, 0.002-0.94). Similarly, the incidence of influenza per 1000 person-days was 1.33 (95% CI, 0.64-2.44) for IIV household members, compared to 0.47 (95% CI, 0.17-1.03) for LAIV household members; the incidence rate ratio was 0.36 (95% CI, 0.11-1.08). The overall incidence rate ratio (combining students and household members) was 0.27 (95% CI, 0.09-0.69). CONCLUSIONS: Household surveillance involving participant monitoring and reporting of symptoms and self-collection of mid-turbinate swabs is feasible. A larger study is required to validate the suggestion that vaccinating children with LAIV might confer more protection against influenza for both children and their household contacts, compared to IIV. TRIAL REGISTRATION: ClinicalTrials.gov NCT01995851.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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.

Opus teacher head0.243
GPT teacher head0.411
Teacher spread0.168 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations27
Published2015
Admission routes3
Has abstractyes

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