Human papillomavirus vaccine coverage among immigrant adolescents in Alberta: a population-based cohort study
Bibliographic record
Abstract
BACKGROUND: Little is known about human papillomavirus (HPV) vaccination among immigrant children in Canada. We conducted a study in Alberta, Canada to assess HPV vaccine coverage among school-aged immigrant children compared with non-immigrant children. METHODS: This cohort study analysed population-based linked administrative health data to measure HPV vaccine coverage for 346 749 school-aged children, including 31 656 immigrants. Coverage was examined at 12 y of age from 2008 to 2018 for females, and from 2014 to 2018 for males and both sexes combined; vaccine series completion was considered receipt of three doses, with initiation (one or more dose) as a supplementary analysis. Multivariable logistic regression examined the association of vaccine coverage with migration status, adjusting for sociodemographic variables. RESULTS: Between 2014 and 2018, HPV vaccination coverage among immigrant children at age 12 y was significantly higher (52.58%) compared with non-immigrant children (47.41%). After controlling for place of residence, income quintile, biological sex and year, immigrant children had 1.10 greater odds (95% confidence interval 1.07 to 1.14) of receiving three doses of HPV vaccine compared with non-immigrant children. Immigrants from Asia and Africa had the highest coverage (60.25-68.78%), while immigrants from North America, Oceania and South America had the lowest coverage (39.97-48.36%). CONCLUSIONS: It is encouraging that immigrant children had higher HPV vaccine coverage compared with non-immigrants. Among immigrants, routine immunization promotion strategies should be tailored based on the country of origin.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".