Parents' perceptions on COVID-19 vaccination as the new routine for their children ≤ 11 years old
Bibliographic record
Abstract
Canadian children 5-11 years old became eligible for COVID-19 vaccination on November 19, 2021, with eligibility for younger children expected later. We aimed to descriptively assess parents' COVID-19 vaccine intentions and acceptability of future doses, including co-administration and annual vaccination for their children. We conducted a cross-sectional Canadian online survey of parents from October 14-November 12, 2021, just prior to authorization of the pediatric formulation of the BNT162b2 COVID-19 vaccine for children aged 5-11 years. We assessed parents' intention to vaccinate their children aged 5-11 years, 2-4 years, and 6-23 months; reasons for their intention; and preferences for delivery and access to vaccines. Of 1129 parents, 56% intended to vaccinate their child aged 5-11 years against COVID-19; intentions were lower for children aged 6-23 months (41.9%) and 2-4 years (45.4%). Most parents who intended to vaccinate supported co-administration with routine (61.1%) or influenza (55.4%) vaccines, administration at school (63.6%), receipt of booster doses of COVID-19 vaccine (57.8%), and annual vaccination (56.4%) for their child. Despite parents' high COVID-19 vaccination uptake for themselves (88.8%), intentions for children aged 5-11 years was low. Currently, 56.9% of Canadian children aged 5-11 years have received one dose of a COVID-19 vaccine, and only 37.1% are fully vaccinated. Given that intentions for children <5 years was lower than those 5-11 years, we can also expect low uptake in this group. Parents' preferences regarding delivery and access to COVID-19 vaccination should be considered by public health officials when planning vaccination strategies for children.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".