Trends in adolescent COVID-19 vaccination receipt and parental intent to vaccinate their adolescent children, United States, July to October, 2021
Bibliographic record
Abstract
INTRODUCTION: There was a five-fold increase in COVID-19 hospitalization case counts among children and adolescents between June and October 2021. However, polls suggest that adolescent COVID-19 vaccination coverage has plateaued in the United States. METHODS: = 59,424). Trends in COVID-19 adolescent vaccination coverage, nationally and by sociodemographic characteristics, factors associated with adolescent vaccination status and parental intent to vaccinate their adolescent children, as well as changes in reasons for non-vaccination were examined using regression models. RESULTS: Receipt of ≥1 dose of a COVID-19 vaccine among adolescents ages 12-17 years increased five percentage points, from 56% (July) to 61% (October), with significant increases across most sociodemographic variables. However, there were no significant changes in parental intention to vaccinate their adolescent children during the same time period. Approximately one-quarter of parents were unsure about or reluctant to vaccinate their children, which remained consistent from July to October. Among those who had not vaccinated their children, lack of trust in the government and vaccines, and the belief that the COVID-19 vaccine is not needed or effective, was higher in October compared to July. CONCLUSIONS: Parental intention to vaccinate their children has remained relatively stable throughout the late summer and early fall of 2021. Encouraging paediatricians to discuss the importance and safety of COVID-19 vaccines, addressing concerns and misinformation, as well as recommending and offering vaccines are important for increasing parental confidence in vaccines as well as vaccination uptake among adolescents.KEY MESSAGEReceipt of ≥1 dose of a COVID-19 vaccine among adolescents ages 12-17 years increased five percentage points, from 56% (July) to 61% (October), with significant increases across most sociodemographic variables.Approximately one quarter of parents were unsure about or reluctant to vaccinate their children, which remained consistent from July to October.Encouraging paediatricians to discuss the importance and safety of COVID-19 vaccines, addressing concerns and misinformation, as well as recommending and offering vaccines is important for increasing parental confidence in vaccines as well as vaccination uptake among adolescents.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".