Evidence map›Paper›PMID 39460330›Full record

ArticleVaccines2024

Comparison of Predictive Factors of Flu Vaccine Uptake Pre- and Post-COVID-19 Using the NIS-Teen Survey.

Ty J Skyles, Harlan P Stevens, Spencer C Davis, Acelan M Obray, Dashiell S Miner, Matthew J East, Tyler Davis, Haley Hoelzer, Stephen R Piccolo, Jamie L Jensen and 1 more

Abstract read
In one paragraph

Article in Vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Large language models for bioinformatics.Quantitative biology (Beijing, China) · 2026
    Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Ty J SkylesDepartment of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.
Harlan P StevensDepartment of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.
Spencer C DavisDepartment of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.ORCID 0009-0009-8012-5594
Acelan M ObrayDepartment of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.
Dashiell S MinerDepartment of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.
Matthew J EastDepartment of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.
Tyler DavisDepartment of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.
Haley HoelzerDepartment of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.
Stephen R PiccoloDepartment of Biology, Brigham Young University, Provo, UT 84602, USA.ORCID 0000-0003-2001-5640
Jamie L JensenDepartment of Biology, Brigham Young University, Provo, UT 84602, USA.ORCID 0000-0002-2249-0405
Brian D PooleDepartment of Microbiology and Molecular Biology, Brigham Young University, Provo, UT 84602, USA.ORCID 0000-0002-3205-640X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeasonal influenza vaccination rates are very low among teenagers.

objectivesWe used publicly available data from the NIS-Teen annual national immunization survey to explore factors that influence the likelihood of a teen receiving their seasonal flu shot.

methodsTraditional stepwise multivariable regression was used in tandem with machine learning to determine the predictive factors in teen vaccine uptake. RESULTS AND

conclusionsAge was the largest predictor, with older teens being much less likely to be vaccinated than younger teens (97.48% compared to 41.71%,

Indexed as

COVID-19demographic factorsinfluenza vaccinationmachine learning

Identifiers

PMID39460330
PMCPMC11511354

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.