Covid-19 misinformation in Portuguese-speaking countries: agreement with content and associated factors

• Autor(a) principal: Sousa, Álvaro Francisco Lopes de
• Data de Publicação: 2022
• Outros Autores: Schneider, Guilherme, Carvalho, Herica Emilia Félix de, Oliveira, Layze Braz de, Lima, Shirley Verônica Melo Almeida, Sousa, Anderson Reis de, Araújo, Telma Maria Evangelista de, Camargo, Emerson Lucas Silva, Oriá, Mônica Oliveira Batista, Ramos, Carmen Viana, Oliveira, Rodrigo Mota de, Almeida, Camila Aparecida Pinheiro Landim, Ferreira, Andrêa Jacqueline Fortes, Teixeira, Jules Ramon Brito, Lua, Iracema, Souza, Fernanda de Oliveira, Araújo, Tânia Maria de, Fronteira, Inês, Mendes, Isabel Amélia Costa
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.14/36358
• topic: Biomedical technology; Coronavirus infections; COVID-19; Health-related behaviors; Misinformation; Pandemics

In the wake of the COVID-19 pandemic, a complex phenomenon called the “infodemic” has emerged, compromising coping with the pandemic. This study aims to estimate the prevalence of agreement with misinformation about COVID-19 and to identify associated factors. A web survey was carried out in Portuguese-speaking countries in two stages: 1. the identification of misinformation circulating in the included countries; 2. a multicentric online survey with residents of the included countries. The outcome of the study was agreement or disagreement with misinformation about COVID-19. Multivariate analyzes were conducted using the Poisson regression model with robust variance, a logarithmic link function, and 95% confidence intervals. The prevalence of agreement with misinformation about COVID-19 was 63.9%. The following factors increased the prevalence of this outcome: having a religious affiliation (aPR: 1454, 95% CI: 1393–1517), having restrictions on leisure (aPR: 1230, 95% CI: 1127–1342), practicing social isolation (aPR: 1073, 95% CI: 1030–1118), not avoiding agglomeration (aPR: 1060, 95% CI: 1005–1117), not seeking/receiving news from scientific sources (aPR: 1153, 95% CI: 1068–1245), seeking/receiving news from three or more non-scientific sources (aPR: 1114, 95% CI: 1049–1182), and giving credibility to news carried by people from social networks (aPR: 1175, 95% CI: 1104–1251). There was a high prevalence of agreement with misinformation about COVID-19. The quality, similarity, uniformity, and acceptance of the contents indicate a concentration of themes that reflect “homemade”, simple, and easy methods to avoid infection by SARS-CoV-2, compromising decision-making and ability to cope with the disease.