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Record W2763693760 · doi:10.1093/pch/19.6.e35-27

27: School-Based Vaccination Programs in ontario: Vaccine Coverage and Non-Medical Exemptions

2014· article· en· W2763693760 on OpenAlexaffabout
Sarah E. Wilson, Gillian Lim, C. Y. Seo, M. McIntyre, J Fediurek, Shelley L. Deeks

Bibliographic record

VenuePaediatrics & Child Health · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMedicineVaccinationMeaslesImmunizationPoliomyelitisRubellaDiphtheriaVaccine-preventable diseasesPolio vaccineFamily medicineRubella vaccinePediatricsMeasles-Mumps-Rubella VaccineEnvironmental healthVirologyImmunology

Abstract

fetched live from OpenAlex

Ontario uses school-based vaccination delivery for three adolescent programs: hepatitis B (HB) (since 1994/5), meningococcal conjugate (serogroup C from 2005/6, serogroups A,C,Y,W-135 since 2009/10), and human papillomavirus (HPV) (since 2007/8). HB (two doses) and quadrivalent meningococcal (one dose) vaccination is offered to grade 7 students and HPV vaccine (three doses) to grade 8 girls. Until 2012/13, all 36 Public Health Units (PHUs) assessed vaccine coverage and recorded immunization exemptions using the Immunization Records Information System (IRIS). Under Ontario legislation, for six designated diseases (measles, mumps, rubella, diphtheria, tetanus and polio), students with incomplete immunizations must be vaccinated or provide a statement of exemption, otherwise risk school suspension. 1) To present coverage for Ontario's three school-based vaccination programs for the 2012/13 school year, and to relate these to recent temporal trends and national coverage targets; 2) To describe temporal trends in immunization exemptions to measles-containing vaccines (MCV) among Ontario students between 2002/3 and 2012/13. In June 2013, IRIS immunization coverage data were requested from all PHUs for select publicly-funded vaccine antigens. Data reflected immunizations delivered as of June 30, 2013. PHU-specific data were compiled to derive provincial estimates following a validation step. Historical data from IRIS were reviewed to present historical trends in coverage and information on MCV exemptions. Trends in exemptions were expressed for seven- and 17-year-olds by classification (medical, religious/conscientious belief, total) at a provincial and regional level, and by school year and birth cohort. Poisson distribution was used to examine temporal trends. Coverage and exemptions data for 2012/13 will be presented but are currently being validated. Ontario coverage for the 2011/12 school year was 86.6% for HB, 84.4% for the meningococcal program, and 70.2% for HPV, representing notable increases in coverage for HPV (11.8%) and HB (10.0%), as compared to the 2010/11 school year. For both seven- and 17-year-old students, religious/conscientious exemptions for measles-containing vaccines significantly increased over the period of study (both P<0.001). However, the proportion of Ontario students with any exemption classification (total exemptions) remained low (<2%) and relatively stable over the period of analysis. Considerable geographic variation in coverage and exemptions was noted. School-based delivery of adolescent vaccination programs is an effective strategy for achieving high provincial coverage. Ontario data suggest that non-medical exemptions have increased over the last ten years, consistent with trends found elsewhere, although the proportion remains low at <2%.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.308

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.004
Science and technology studies0.0030.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.015
GPT teacher head0.283
Teacher spread0.268 · 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 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

Citations2
Published2014
Admission routes2
Has abstractyes

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