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Record W4416420440 · doi:10.1016/j.jvacx.2025.100756

Polio survivors' perspectives on vaccine hesitancy: a qualitative interview study

2025· article· en· W4416420440 on OpenAlexafffundabout
Madeleine Mant, Andrew Prine

Bibliographic record

VenueVaccine X · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicVaccine Coverage and Hesitancy
Canadian institutionsCampbellford Memorial HospitalUniversity of Toronto
FundersConnaught FundUniversity of Toronto
KeywordsPoliomyelitisPolio vaccineMMR vaccinePublic healthQualitative researchPopulationVaccinationMeaslesPolio Vaccination

Abstract

fetched live from OpenAlex

The SARS-CoV-2 pandemic and recent measles outbreaks have brought the topic of vaccine hesitancy to the forefront of the public imagination. This research sought to understand Canadian polio survivors' perceptions of vaccines and vaccine hesitancy. We interviewed 65 individuals with post-polio syndrome and used NVivo to code the qualitative descriptive analysis. Participants expressed worry regarding the declining rates of childhood vaccine acceptance. All participants championed the polio vaccine and encouraged its universal uptake. Some vaccines (e.g., MMR, diphtheria) were consistently accepted as beneficial. While most interviewees accepted the COVID-19 vaccine, a minority expressed hesitancy. Participants expressed a willingness to share their polio stories to encourage childhood vaccine uptake. Polio survivors are an aging population with lived experience regarding vaccine-preventable disease. Future public health campaigns regarding vaccine uptake should endeavour to include structured engagement with post-polio support groups across Canada and internationally as community vaccine champions. Importantly, vaccine acceptance should be considered as a spectrum, and primary care physicians should be encouraged to review vaccine safety for all vaccines even with patients who express general acceptance. • Polio survivors are motivated to share their stories to encourage vaccine uptake. • Polio survivors express concern about rising vaccine hesitancy. • Vaccine acceptance is not monolithic.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.392
Teacher spread0.355 · 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 designQualitative
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

Citations0
Published2025
Admission routes3
Has abstractyes

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