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Record W2138589075 · doi:10.1086/605087

The Effect of Universal Influenza Immunization on Antibiotic Prescriptions: An Ecological Study

2009· article· en· W2138589075 on OpenAlexafffundabout
Jeffrey C. Kwong, Sarah Maaten, Ross Upshur, David M. Patrick, Fawziah Marra

Bibliographic record

VenueClinical Infectious Diseases · 2009
Typearticle
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsHealth Sciences CentreBC Centre for Disease ControlUniversity of British ColumbiaPublic Health OntarioUniversity of TorontoSunnybrook Health Science CentreInstitute for Clinical Evaluative Sciences
FundersCanadian Institutes of Health ResearchHealth CanadaUniversity of TorontoOntario Ministry of Health and Long-Term CarePublic Health AgencyInstitute for Clinical Evaluative SciencesPublic Health Agency of Canada
KeywordsMedicineImmunizationMedical prescriptionAntibioticsPopulationInfluenza vaccineVirologyImmunologyEnvironmental healthVaccinationMicrobiologyAntigenBiology

Abstract

fetched live from OpenAlex

The Canadian province of Ontario introduced universal influenza immunization in 2000, offering free vaccines to the entire population. We compared changes in rates of influenza-associated respiratory antibiotic prescriptions before and after universal immunization in Ontario with corresponding changes in other provinces. Universal influenza immunization is associated with reduced influenza-associated antibiotic prescriptions.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.080
GPT teacher head0.455
Teacher spread0.375 · 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 teacher head, not a consensus.

Study designObservational
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

Citations145
Published2009
Admission routes3
Has abstractyes

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