Evidence map›Paper›PMID 40243790›Full record

ArticleCadernos de saude publica2025

[Elements of misinformation in the public perception of the dengue vaccine in Brazil: an analysis of comments on social media].

Iago Marafina de Oliveira, Roseni Pinheiro, Francisco Ortega, Emiliane Silva Santana

Abstract readEnglish Abstract
In one paragraph

Article in Cadernos de saude publica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

4 authors.

Iago Marafina de OliveiraInstituto de Medicina Social Hesio Cordeiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brasil.ORCID 0000-0001-5300-6965
Roseni PinheiroInstituto de Medicina Social Hesio Cordeiro, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brasil.ORCID 0000-0001-8745-9209
Francisco OrtegaInstitució Catalana de Recerca i Estudis Avancats, Barcelona, España.ORCID 0000-0002-5039-9449
Emiliane Silva SantanaEscola Nacional de Saúde Pública da Bahia, Salvador, Brasil.ORCID 0009-0004-3505-8744

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2024, dengue in Brazil reached alarming epidemiological rates, being considered potentially the worst year in history. In this context, the arrival of vaccines against the disease represents a great advance for Brazil's public health. However, misinformation and fake news about vaccines pose a threat to the success of immunization campaigns. In this article, we aim to understand the elements of misinformation present in the public perception about the arrival of dengue vaccines in Brazil. To this end, 1,550 comments were collected on online posts from five major media outlets in the country, resulting in five thematic categories created from a categorical content analysis: disinfodemic, misinformation vectors, vaccine politicization, vaccine hesitancy/vaccine refusal, and personal experiences. It is concluded that almost 1/3 of the comments collected have some misleading content, which reinforces the need to create different strategies to confront and combat misinformation. The scenario of vaccine hesitancy and politicization of public health-related issues that exist as a consequence of COVID-19 is of great relevance for discussions in the public sphere and a challenge to be faced in the coming years.

Indexed as

CommunicationDengueDengue VaccinesPublic OpinionSocial MediaVaccination HesitancyBrazilCOVID-19HumansDengue Vaccines

Identifiers

PMID40243790
PMCPMC11996185

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.