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Record W4413118157 · doi:10.1177/2752535x251368427

Improving Human Papillomavirus (HPV) Vaccine Uptake in Canada: A Call for Equity and Inclusivity

2025· article· en· W4413118157 on OpenAlexaffabout
Noah Doucette, Audrey Steenbeek

Bibliographic record

VenueCommunity Health Equity Research & Policy · 2025
Typearticle
Languageen
FieldMedicine
TopicCervical Cancer and HPV Research
Canadian institutionsDalhousie University
Fundersnot available
KeywordsVaccinationHealth equityHuman papillomavirusMedicineMen who have sex with menEquity (law)HPV vaccinesPublic healthCervical cancerEnvironmental healthFamily medicineDemographyGynecologyHPV infectionImmunologyPolitical scienceHuman immunodeficiency virus (HIV)SyphilisCancerNursingInternal medicineSociology

Abstract

fetched live from OpenAlex

Human Papillomavirus (HPV) is the most common sexually transmitted infection worldwide. Specifically, HPV is responsible for a large proportion of anal, cervical, vaginal, vulvar, penile and oropharyngeal cancers, highlighting the importance of optimizing the prevention of this public health issue. To date, vaccination is the most effective method for preventing HPV-related infections and associated diseases; however, vaccine uptake remains well below national targets. In Canada, gender-neutral HPV vaccination is recommended for all individuals between nine and 26 years, but can also be administered to adults until the age of 45. Despite widespread adoption of publicly-funded school-based vaccination programs, some populations report disproportionately lower rates of HPV vaccine uptake, including young adults, transgender peoples and men who have sex with men (MSM), rendering them vulnerable to morbidity and mortality. Addressing HPV-related disparities requires a coordinated, multi-level call to action involving collaboration between academic and community partners to normalize inclusive, gender-neutral vaccination. This paper explores opportunities for optimizing HPV vaccine uptake in Canada by emphasizing the importance of healthcare provider recommendation, improved access to community-based vaccination services, and representation of diverse populations (e.g., young adults, transgender peoples, MSM) in the development and delivery of vaccine communication/messaging. The time is now to normalize inclusive HPV vaccination in order to mitigate the persistence of vaccine-related disparities and strive toward global initiatives of health equity.

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)0.014
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Open science, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0010.010
Research integrity0.0000.004
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 head0.295
GPT teacher head0.580
Teacher spread0.285 · 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 designOther design
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 routes2
Has abstractyes

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