Evidence map›Paper›PMID 38699155›Full record

ReviewVaccine: X2024

COVID-19 vaccine hesitancy prevalence in Mexico: A systematic review and metanalysis.

Diego Ramonfaur, Rupali J Limaye, David E Hinojosa-González, Francisco J Barrera, Gloria P Rodríguez-Gómez, Carlos Castillo-Salgado

Abstract readReview
In one paragraph

Review in Vaccine: X, 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. Article
  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

6 authors.

Diego RamonfaurBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Rupali J LimayeBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
David E Hinojosa-GonzálezBaylor College of Medicine, Houston, TX, USA.
Francisco J BarreraDepartment of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Gloria P Rodríguez-GómezYale New Haven Hospital, Yale School of Medicine, New Haven, CT, USA.
Carlos Castillo-SalgadoBloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Vaccine hesitancy (VH) is a recognized threat to public health that undermines efforts to mitigate disease burden. This study aims to gather available evidence regarding COVID-19 VH in Mexico, estimate the prevalence of VH, and its determinants to inform policymaking in this country. Methods: Following PRISMA guidelines, a systematic review of the MEDLINE literature, articles that estimated the prevalence of COVID-19 VH in Mexico were included in the analysis to obtain a pooled estimate. We used a binomial-normal model for Results: Seven studies met inclusion criteria. We estimated a pooled prevalence of COVID-19 VH of 16 % (95 % CI: 11-23 %) in Mexico. We found an association between VH and demographic characteristics, intrinsic vaccine factors, and beliefs. Subgroup analyses from specific studies suggested that patients with clinical conditions such as breast cancer or rheumatologic diseases had a higher prevalence of VH. Conclusions: VH is a highly complex and dynamic phenomenon in Mexico. Characterizing and understanding COVID-19 vaccine hesitancy in the Mexican population helps target future policy interventions to mitigate the spread and impact of infectious diseases. The implications of VH differ among groups that may be at higher risk of severe disease, underscoring the importance of prompt research among these groups as well as targeted interventions to address VH.

Indexed as

COVID-19EpidemiologyLatin AmericaPublic HealthVaccine hesitancy

Identifiers

PMID38699155
PMCPMC11063535

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.