ArticlePloS one2023
Trustworthiness of information sources on vaccines for COVID-19 prevention among Brazilians.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Five years after the COVID-19 pandemic began: lessons on vaccination and obstetric care in Brazil.Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2025Article
- COVID-19 Vaccination and Public Health: Addressing Global, Regional, and Within-Country Inequalities.Vaccines · 2024Review
- [Childhood vaccine hesitancy and COVID-19: an analysis based on the perception of health professionals].Cadernos de saude publica · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study aims to assess the trustworthiness of information sources, perception of clear information about the vaccine, and strategies to increase adherence to vaccination to provide managers with information that helps establish effective communication with the population about vaccination.
methodThis is an online survey conducted between January 22 and 29, 2021, preceded by an Informed Consent, that aims to assess vaccine hesitancy, which corresponded to the first week of vaccination initiation to prevent COVID-19 in Brazil. Data were obtained from a questionnaire made available through a free platform and stored in Google Forms and later exported to the SPSS statistical package for analysis. The sample consisted of all questionnaires from participants who self-declared as age 18 or older, Brazilian, and residing in Brazil at the time of the survey. Incomplete records with more than 50% of blank items and duplicates were excluded. All categorical variables were analyzed from their absolute and relative frequencies. Multivariate logistic regression was performed to verify the relationship between dependent variables and independent variables.
resultsThe results show that trust in information sources diverges between hesitant and non-hesitant. They also showed that some participants show an overall distrust that seems to have deeper foundations than issues related only to the source of information. The high rejection of television and the WHO as sources of information among hesitant suggests that integrated actions with research institutes, public figures vaccinating, and religious leaders can help to combat vaccine hesitation. Two actors become particularly important in this dynamic, both for good and bad, and their anti-vaxxer behavior must be observed: the doctor and the Ministry of Health.
conclusionThis study contributes to gathering valuable information to help understand the behavior and thinking relevant to the adherence to vaccination recommendations.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.