Evidence map›Paper›PMID 39635221›Full record

ArticleFrontiers in public health2024

A global survey to understand general vaccine trust, COVID-19 and influenza vaccine confidence.

Chelsea D'Silva, Madison M Fullerton, Jia Hu, Kenneth Rabin, Scott C Ratzan

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

5 authors.

Chelsea D'Silva19 to Zero Inc, Calgary, AB, Canada.
Madison M Fullerton19 to Zero Inc, Calgary, AB, Canada.
Jia Hu19 to Zero Inc, Calgary, AB, Canada.
Kenneth RabinSchool of Public Health and Health Policy, The City University of New York, New York, NY, United States.
Scott C RatzanSchool of Public Health and Health Policy, The City University of New York, New York, NY, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The COVID-19 pandemic has greatly impacted the way that the world views vaccines. While safe and effective, COVID-19 vaccines were, and continue to be met with hesitancy and misinformation. We aimed to understand public perceptions and trust in COVID-19 vaccinations and how the pandemic has impacted perceptions of non-COVID-19 vaccines. Methods: Survey data were collected between August 7, 2023-August 16, 2023, from 7,000 respondents aged 18 years and older from the United States ( Results: Trust in COVID-19 vaccines was highest in Brazil (84.6%) and India (80.4%) and lowest in the United States (63.5%) and France (55.0%). 47.5% of respondents agreed that they trust traditional protein-based vaccines more than mRNA vaccines, 13.5% disagree and 39.0% are neutral about their trust in protein-based versus mRNA vaccines. Overall, 53.9% of respondents reported that the COVID-19 pandemic impacted their perceptions of vaccines with half of these respondents (51.7%) reporting that the pandemic made them think that other vaccines are more important as they understand how critical vaccines can be at preventing serious illnesses. Discussion: These data can be used by health system decision makers, public health and researchers to understand how vaccine trust impacts perceptions of COVID-19 and influenza vaccines globally and develop tailored interventions that address local concerns.

Indexed as

COVID-19COVID-19 VaccinesInfluenza VaccinesTrustAdolescentAdultAgedBrazilCanadaFemaleHealth Knowledge, Attitudes, PracticeHumansIndiaInfluenza, HumanMaleMiddle AgedCOVID-19 VaccinesInfluenza VaccinesCOVID-19immunizationmRNAvaccine confidencevaccine trust

Identifiers

PMID39635221
PMCPMC11615073

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.