Browsing by Author "Schneider, Guilherme"
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- Covid-19 misinformation in Portuguese-speaking countries: agreement with content and associated factorsPublication . Sousa, Álvaro Francisco Lopes de; 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 CostaIn 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.