Evidence map›Paper›PMID 36146566›Full record

ReviewVaccines2022

Mapping the Prevalence of COVID-19 Vaccine Acceptance at the Global and Regional Level: A Systematic Review and Meta-Analysis.

Erika Renzi, Valentina Baccolini, Giuseppe Migliara, Ciro Bellotta, Mariateresa Ceparano, Pierluigi Donia, Carolina Marzuillo, Corrado De Vito, Paolo Villari, Azzurra Massimi

Abstract readReview
In one paragraph

Review in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 4 pooled it
–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

16 citing papers in PubMed, 4 syntheses or guidelines pooled it.

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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

10 authors.

Erika RenziDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0001-9760-0245
Valentina BaccoliniDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-7873-7817
Giuseppe MigliaraDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-4573-6025
Ciro BellottaNational Hospital A.O.R.N. "Antonio Cardarelli", 80131 Naples, Italy.
Mariateresa CeparanoDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.
Pierluigi DoniaDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.
Carolina MarzuilloDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.ORCID 0000-0002-7299-5727
Corrado De VitoDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.
Paolo VillariDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.
Azzurra MassimiDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, 00185 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the availability of effective and safe vaccines, the acceptance of COVID-19 vaccination is suboptimal. In this meta-analysis we quantified the prevalence estimates of COVID-19 vaccine acceptance with a specific focus on worldwide geographical differences. We searched PubMed, Scopus, Web of Science and PsycInfo up to April 2021 (PROSPERO ID: CRD42021235328). Generalized random-effects linear models with a logit link were used to calculate the pooled estimated rate of vaccine acceptance at both the global and regional level. A meta-regression analysis was performed to assess the association between COVID-19 vaccine acceptance and various characteristics of the studies. Overall, 71 articles yielding 128 prevalence estimates were included. The pooled prevalence of COVID-19 vaccination acceptance rate was 66% (95% CI: 61-71%). This varied by geographic area, ranging from 36% (95% CI: 18-60%) in Africa to 83% (95% CI: 82-84%) in Oceania, and there was high variability between countries (15.4% Cameroon-100% Bhutan). Meta-regression analysis showed that studies that investigated COVID-19 vaccination intentions using multiple choice/scoring gave a vaccine acceptance prevalence lower than studies with only two possible answers (yes/no) (ß: -1.02 95% CI: -1.41 to -0.63). Despite some variation in the estimates, the results showed that one in three people may refuse/delay COVID-19 vaccination.

Indexed as

COVID-19meta-analysissystematic reviewvaccinationvaccine hesitancy

Identifiers

PMID36146566
PMCPMC9506365

What OpenQuestion holds

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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.