Evidence map›Paper›PMID 34544600›Full record

ArticleVaccine2021

Racial differences in anticipated COVID-19 vaccine acceptance among religious populations in the US.

Christopher Justin Jacobi, Brandon Vaidyanathan

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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  14. Religiosity and Beliefs toward COVID-19 Vaccination among Adults in Puerto Rico.International journal of environmental research and public health · 2022
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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 1 institution in 2 countries.

Christopher Justin JacobiDepartment of Sociology, The Catholic University of America, Washington, DC, United States; Nuffield College, University of Oxford, Oxford, United Kingdom. Electronic address: jacobi@cua.edu.
Brandon VaidyanathanDepartment of Sociology, The Catholic University of America, Washington, DC, United States. Electronic address: brandonv@cua.edu.
University of America · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given high COVID-19 infection and mortality ratesamong racial minorities in the US and their higher rates of religiosity, it is important to examine how the intersection of race and religion influences perceptions of COVID-19 vaccinations.Data for this study come from online surveys conducted in twelve congregations between October and December 2020 (N = 1,609). Based on logistic regression analyses, this study demonstrates a severe disparity of 24 percentage points (95% confidence interval 0.14-0.33) in anticipated COVID-19 vaccine acceptance between African Americans and White Americans, even when controlling for trust in COVID-19 information from scientists and levels of worrying about COVID-19 as well as religiosity and demographic factors. Religiosity is negatively associated with COVID-19 vaccine acceptance across racial groups. The findings suggest that the intersection of race and religion should be considered when designing immunization programs, for instance by fostering collaborations and dialogue with faith leaders of racial minority congregations.

Indexed as

COVID-19COVID-19 VaccinesHumansRace FactorsSARS-CoV-2White PeopleCOVID-19 VaccinesCOVID-19Health disparitiesRacial minoritiesReligionVaccine acceptanceVaccine hesitancy

Identifiers

PMID34544600
PMCPMC8446822
OpenAlexW3198090985

What OpenQuestion holds

Textmetadata
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.