Evidence map›Paper›PMID 33848692›Full record

ArticleTravel medicine and infectious disease

Cross-sectional analysis of COVID-19 vaccine intention, perceptions and hesitancy across Latin America and the Caribbean.

Diego Urrunaga-Pastor, Guido Bendezu-Quispe, Percy Herrera-Añazco, Angela Uyen-Cateriano, Carlos J Toro-Huamanchumo, Alfonso J Rodriguez-Morales, Adrian V Hernandez, Vicente A Benites-Zapata

Open access · greenAbstract read
In one paragraph

Article in Travel medicine and infectious disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed, 5 pooled it
18.9field-weighted citation impact, top 1% 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

107 citing papers in PubMed, 5 syntheses or guidelines pooled it, 169 citations in OpenAlex.

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47 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 7 institutions in 6 countries.

Diego Urrunaga-PastorUniversidad Científica del Sur, Lima, Peru.
Guido Bendezu-QuispeUniversidad Privada Norbert Wiener, Lima, Peru; Red Internacional en Salud Colectiva y Salud Intercultural, México, Mexico.
Percy Herrera-AñazcoRed Internacional en Salud Colectiva y Salud Intercultural, México, Mexico; Universidad Privada San Juan Bautista, Lima, Peru.
Angela Uyen-CaterianoMedecins Sans Frontieres, Health Politics, Brussels, Belgium.
Carlos J Toro-HuamanchumoUnidad para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola (USIL), Lima, Peru; Clínica Avendaño, Unidad de Investigación Multidisciplinaria, Lima, Peru.
Alfonso J Rodriguez-MoralesLatin American Network of COVID-19 Research (LANCOVID), Pereira, Risaralda, Colombia; Grupo de Investigación Biomedicina, Faculty of Medicine, Fundación Universitaria Autónoma de las Americas, Pereira, Risaralda, Colombia; Universidad Privada Franz Tamayo (UNIFRANZ), Cochabamba, Bolivia. Electronic address: alfonso.rodriguez@uam.edu.co.
Adrian V HernandezHealth Outcomes, Policy, and Evidence Synthesis (HOPES) Group, University of Connecticut School of Pharmacy, Storrs, CT, 06269, USA; Unidad de Revisiones Sistemáticas y Metaanálisis, Guías de Práctica Clínica y Evaluaciones Tecnológicas Sanitarias, Universidad San Ignacio de Loyola (USIL), Lima, Peru.
Vicente A Benites-ZapataRed Internacional en Salud Colectiva y Salud Intercultural, México, Mexico; Unidad para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola (USIL), Lima, Peru. Electronic address: vbenites@usil.edu.pe.
Universidad San Ignacio de Loyola · PEMédecins Sans Frontières · BEUniversidad Científica del Sur · PEUniversidad Internacional · MXUniversidad Privada Franz Tamayo · BOUniversidad Privada San Juan Bautista · PEUniversity of Connecticut · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDeterminants of vaccine acceptance are multifactorial, complex, and in most cases, context-dependent. We determined the prevalence of COVID-19 vaccination intention (VI) and fear of its adverse effects (FAE) as well as their associated factors in Latin America and the Caribbean (LAC).

methodsWe conducted a secondary cross-sectional analysis of a database collected by the University of Maryland and Facebook. We included participants aged 18 and over from LAC surveyed, January 15 to February 1, 2021. We evaluated VI, FAE, sociodemographic characteristics, COVID-19 symptomatology, compliance with community mitigation strategies, food and economic insecurity, mental health evaluation and the influence in VI when recommended by different stakeholders. We calculated crude and adjusted prevalence ratios with their 95%CIs.

resultsWe analyzed 472,521 responses by Latin American adults, finding a VI and FAE prevalence of 80.0% and 81.2%, respectively. We found that female and non-binary genders were associated with a lower probability of VI and a higher probability of FAE. Besides, living in a town, village or rural area and economic insecurity was associated with a higher FAE probability. The fears of becoming seriously ill, a family member becoming seriously ill from COVID-19 and having depressive symptoms were associated with a higher probability of VI and FAE.

conclusionEight out of 10 adults in LAC have VI and FAE. The factors identified are useful for the development of communication strategies to reduce FAE frequency. It is necessary to guarantee mass vaccination and support the return of economic activities.

Indexed as

AdolescentAdultAgedCaribbean RegionCOVID-19COVID-19 VaccinesCross-Sectional StudiesFemaleHumansIntentionLatin AmericaMaleMiddle AgedPatient Acceptance of Health CarePerceptionSARS-CoV-2COVID-19 VaccinesCOVID-19COVID-19 vaccinesLatin AmericaSARS-CoV-2VaccinationVaccination refusal

Identifiers

PMID33848692
PMCPMC8063600
OpenAlexW3153432591

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.