Publication
Covid-19 misinformation in Portuguese-speaking countries: agreement with content and associated factors
dc.contributor.author | Sousa, Álvaro Francisco Lopes de | |
dc.contributor.author | Schneider, Guilherme | |
dc.contributor.author | Carvalho, Herica Emilia Félix de | |
dc.contributor.author | Oliveira, Layze Braz de | |
dc.contributor.author | Lima, Shirley Verônica Melo Almeida | |
dc.contributor.author | Sousa, Anderson Reis de | |
dc.contributor.author | Araújo, Telma Maria Evangelista de | |
dc.contributor.author | Camargo, Emerson Lucas Silva | |
dc.contributor.author | Oriá, Mônica Oliveira Batista | |
dc.contributor.author | Ramos, Carmen Viana | |
dc.contributor.author | Oliveira, Rodrigo Mota de | |
dc.contributor.author | Almeida, Camila Aparecida Pinheiro Landim | |
dc.contributor.author | Ferreira, Andrêa Jacqueline Fortes | |
dc.contributor.author | Teixeira, Jules Ramon Brito | |
dc.contributor.author | Lua, Iracema | |
dc.contributor.author | Souza, Fernanda de Oliveira | |
dc.contributor.author | Araújo, Tânia Maria de | |
dc.contributor.author | Fronteira, Inês | |
dc.contributor.author | Mendes, Isabel Amélia Costa | |
dc.date.accessioned | 2022-01-05T16:55:28Z | |
dc.date.available | 2022-01-05T16:55:28Z | |
dc.date.issued | 2022-01-01 | |
dc.description.abstract | 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. | pt_PT |
dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
dc.identifier.doi | 10.3390/su14010235 | pt_PT |
dc.identifier.eid | 85121859057 | |
dc.identifier.issn | 2071-1050 | |
dc.identifier.uri | http://hdl.handle.net/10400.14/36358 | |
dc.identifier.wos | 000751312700001 | |
dc.language.iso | eng | pt_PT |
dc.peerreviewed | yes | pt_PT |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
dc.subject | Biomedical technology | pt_PT |
dc.subject | Coronavirus infections | pt_PT |
dc.subject | COVID-19 | pt_PT |
dc.subject | Health-related behaviors | pt_PT |
dc.subject | Misinformation | pt_PT |
dc.subject | Pandemics | pt_PT |
dc.title | Covid-19 misinformation in Portuguese-speaking countries: agreement with content and associated factors | pt_PT |
dc.type | journal article | |
dspace.entity.type | Publication | |
oaire.citation.issue | 1 | pt_PT |
oaire.citation.title | Sustainability (Switzerland) | pt_PT |
oaire.citation.volume | 14 | pt_PT |
rcaap.rights | openAccess | pt_PT |
rcaap.type | article | pt_PT |
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