Vaccine fake news : an analysis under the World Health Organization's 3Cs model

OBJECTIVE: To analyze fake news about immunobiologicals using as reference vaccine hesitancy in the World Health Organization's 3Cs model (confidence, complacency and convenience).

METHOD: This is an exploratory qualitative research that used content analysis to analyze fake news on three national news-checking sites.

RESULTS: Twenty fake news related to immunobiologicals were analyzed, with 55% published in 2018 and 63% related to yellow fever vaccine. From analysis of results, two empirical categories have emerged: Immunobiologicals have a potential risk of death/sequel; Immunobiologicals are ineffective.

CONCLUSION: Fake news have the potential to produce vaccine hesitancy based on the 3Cs model. Therefore, it is necessary to rethink communicative health practices that do not underestimate the asymmetries and inequities that characterize the unequal Brazilian society. Considering that nursing is the largest workforce in immunization rooms, there is a need for professionals' engagement as an active vehicle of truthful information in immunobiologicals for the population.

Medienart:

E-Artikel

Erscheinungsjahr:

2021

Erschienen:

2021

Enthalten in:

Zur Gesamtaufnahme - volume:55

Enthalten in:

Revista da Escola de Enfermagem da U S P - 55(2021) vom: 31., Seite e03736

Sprache:

Portugiesisch

Weiterer Titel:

Fake news sobre vacinas: uma análise sob o modelo dos 3Cs da Organização Mundial da Saúde

Beteiligte Personen:

Frugoli, Alice Gomes [VerfasserIn]
Prado, Raquel de Souza [VerfasserIn]
Silva, Tercia Moreira Ribeiro da [VerfasserIn]
Matozinhos, Fernanda Penido [VerfasserIn]
Trapé, Carla Andrea [VerfasserIn]
Lachtim, Sheila Aparecida Ferreira [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Vaccines

Anmerkungen:

Date Completed 18.08.2021

Date Revised 23.04.2022

published: Electronic-eCollection

Citation Status MEDLINE

doi:

10.1590/S1980-220X2020028303736

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM326246088