Evidence map›Paper›PMID 39271667›Full record

ArticleNPJ vaccines2024

Understanding the rationales and information environments for early, late, and nonadopters of the COVID-19 vaccine.

Lisa Singh, Le Bao, Leticia Bode, Ceren Budak, Josh Pasek, Trivellore Raghunathan, Michael Traugott, Yanchen Wang, Nathan Wycoff

Abstract read
In one paragraph

Article in NPJ vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

9 authors.

Lisa SinghGeorgetown University, 37th & O Streets, Washington, DC, 20057, USA. lisa.singh@georgetown.edu.
Le BaoGeorgetown University, 37th & O Streets, Washington, DC, 20057, USA.
Leticia BodeGeorgetown University, 37th & O Streets, Washington, DC, 20057, USA.
Ceren BudakUniversity of Michigan, 500 South State Street, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0002-7767-3217
Josh PasekUniversity of Michigan, 500 South State Street, Ann Arbor, MI, 48109, USA.ORCID http://orcid.org/0000-0001-6099-6119
Trivellore RaghunathanUniversity of Michigan, 500 South State Street, Ann Arbor, MI, 48109, USA.
Michael TraugottUniversity of Michigan, 500 South State Street, Ann Arbor, MI, 48109, USA.
Yanchen WangGeorgetown University, 37th & O Streets, Washington, DC, 20057, USA.
Nathan WycoffGeorgetown University, 37th & O Streets, Washington, DC, 20057, USA.

Funding

National Science Foundation (NSF) #1934494National Science Foundation (NSF) #1934925
6 · The paper itself

Abstract

Anti-vaccine sentiment during the COVID-19 pandemic grew at an alarming rate, leaving much to understand about the relationship between people's vaccination status and the information they were exposed to. This study investigated the relationship between vaccine behavior, decision rationales, and information exposure on social media over time. Using a cohort study that consisted of a nationally representative survey of American adults, three subpopulations (early adopters, late adopters, and nonadopters) were analyzed through a combination of statistical analysis, network analysis, and semi-supervised topic modeling. The main reasons Americans reported choosing to get vaccinated were safety and health. However, work requirements and travel were more important for late adopters than early adopters (95% CI on OR of [0.121, 0.453]). While late adopters' and nonadopters' primary reason for not getting vaccinated was it being too early, late adopters also mentioned safety issues more often and nonadopters mentioned government distrust (95% CI on OR of [0.125, 0.763]). Among those who shared Twitter/X accounts, early adopters and nonadopters followed a larger fraction of highly partisan political accounts compared to late adopters, and late adopters were exposed to more neutral and pro-vaccine messaging than nonadopters. Together, these findings suggest that the decision-making process and the information environments of these subpopulations have notable differences, and any online vaccination campaigns need to consider these differences when attempting to provide accurate vaccine information to all three subpopulations.

Identifiers

PMID39271667
PMCPMC11399438

What OpenQuestion holds

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LicenceCC BY
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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.