Evidence map›Paper›PMID 36992170›Full record

ArticleVaccines2023

Not All Conservatives Are Vaccine Hesitant: Examining the Influence of Misinformation Exposure, Political Ideology, and Flu Vaccine Acceptance on COVID-19 Vaccine Hesitancy.

Muhammad Ehab Rasul, Saifuddin Ahmed

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
9.8field-weighted citation impact, top 2% of its field
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

9 citing papers in PubMed, 17 citations in OpenAlex.

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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

2 authors at 2 institutions in 2 countries.

Muhammad Ehab RasulDepartment of Communication, University of California, Davis, CA 95616, USA.ORCID 0000-0001-5175-9023
Saifuddin AhmedWee Kim Wee School of Communication and Information, Nanyang Technological University, Singapore 639798, Singapore.ORCID 0000-0001-6372-213X
Nanyang Technological University · SGUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the mass availability of COVID-19 vaccines in the United States, many Americans are still reluctant to take a vaccine as an outcome from exposure to misinformation. Additionally, while scholars have paid attention to COVID-19 vaccine hesitancy, the influence of general vaccine hesitancy for important viruses such as the flu has largely been ignored. Using nationally representative data from Pew Research Center's American Trends Panel survey (Wave 79), this study examined the relationship between perceived misinformation exposure, COVID-19 vaccine hesitancy, flu vaccine acceptance, political ideology, and demographic trends. The findings suggest that those who accepted the flu vaccine were less likely to be COVID-19 vaccine-hesitant. In addition, moderation analyses showed that perceived misinformation exposure increases COVID-19 vaccine hesitancy for conservatives and moderates but not for liberals. However, perceived misinformation exposure influences COVID-19 vaccine hesitancy among conservatives only if they are also flu vaccine-hesitant. Perceived misinformation exposure has no role in COVID-19 vaccine hesitancy if individuals (irrespective of political ideology) are regular with their flu vaccine. The results suggest that the effect of misinformation exposure on negative attitudes toward COVID-19 may be associated with generalized vaccine hesitancy (e.g., flu). The practical and theoretical implications are discussed.

Indexed as

COVID-19flu vaccinemisinformationpolitical ideologypublic opinionvaccine hesitancy

Identifiers

PMID36992170
PMCPMC10052187
OpenAlexW4323313832

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.