COVID-19 Misinformation in Portuguese-Speaking Countries: Agreement with Content and Associated Factors

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 Portugu...

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Veröffentlicht in:Sustainability 2022-01, Vol.14 (1), p.235
Hauptverfasser: 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, de Oliveira, Rodrigo Mota, Almeida, Camila Aparecida Pinheiro Landim, Jacqueline Fortes Ferreira, Andrêa, Teixeira, Jules Ramon Brito, Lua, Iracema, Souza, Fernanda de Oliveira, Araújo, Tânia Maria de, Fronteira, Inês, Mendes, Isabel Amélia Costa
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container_issue 1
container_start_page 235
container_title Sustainability
container_volume 14
creator 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
de Oliveira, Rodrigo Mota
Almeida, Camila Aparecida Pinheiro Landim
Jacqueline Fortes Ferreira, Andrêa
Teixeira, Jules Ramon Brito
Lua, Iracema
Souza, Fernanda de Oliveira
Araújo, Tânia Maria de
Fronteira, Inês
Mendes, Isabel Amélia Costa
description 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: 1.454, 95% CI: 1.393–1.517), having restrictions on leisure (aPR: 1.230, 95% CI: 1.127–1.342), practicing social isolation (aPR: 1.073, 95% CI: 1.030–1.118), not avoiding agglomeration (aPR: 1.060, 95% CI: 1.005–1.117), not seeking/receiving news from scientific sources (aPR: 1.153, 95% CI: 1.068–1.245), seeking/receiving news from three or more non-scientific sources (aPR: 1.114, 95% CI: 1.049–1.182), and giving credibility to news carried by people from social networks (aPR: 1.175, 95% CI: 1.104–1.251). 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.
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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: 1.454, 95% CI: 1.393–1.517), having restrictions on leisure (aPR: 1.230, 95% CI: 1.127–1.342), practicing social isolation (aPR: 1.073, 95% CI: 1.030–1.118), not avoiding agglomeration (aPR: 1.060, 95% CI: 1.005–1.117), not seeking/receiving news from scientific sources (aPR: 1.153, 95% CI: 1.068–1.245), seeking/receiving news from three or more non-scientific sources (aPR: 1.114, 95% CI: 1.049–1.182), and giving credibility to news carried by people from social networks (aPR: 1.175, 95% CI: 1.104–1.251). 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.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su14010235</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Agreements ; Confidence intervals ; Coronaviruses ; COVID-19 ; COVID-19 diagnostic tests ; Data collection ; Data mining ; Decision making ; Disease transmission ; Epidemics ; False information ; Health aspects ; Pandemics ; Polls &amp; surveys ; Portuguese-speaking countries ; Questionnaires ; Severe acute respiratory syndrome coronavirus 2 ; Social aspects ; Social interactions ; Social networks ; Social organization ; Statistical analysis ; Sustainability</subject><ispartof>Sustainability, 2022-01, Vol.14 (1), p.235</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2021 by the authors. 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The following factors increased the prevalence of this outcome: having a religious affiliation (aPR: 1.454, 95% CI: 1.393–1.517), having restrictions on leisure (aPR: 1.230, 95% CI: 1.127–1.342), practicing social isolation (aPR: 1.073, 95% CI: 1.030–1.118), not avoiding agglomeration (aPR: 1.060, 95% CI: 1.005–1.117), not seeking/receiving news from scientific sources (aPR: 1.153, 95% CI: 1.068–1.245), seeking/receiving news from three or more non-scientific sources (aPR: 1.114, 95% CI: 1.049–1.182), and giving credibility to news carried by people from social networks (aPR: 1.175, 95% CI: 1.104–1.251). There was a high prevalence of agreement with misinformation about COVID-19. 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subjects Agreements
Confidence intervals
Coronaviruses
COVID-19
COVID-19 diagnostic tests
Data collection
Data mining
Decision making
Disease transmission
Epidemics
False information
Health aspects
Pandemics
Polls & surveys
Portuguese-speaking countries
Questionnaires
Severe acute respiratory syndrome coronavirus 2
Social aspects
Social interactions
Social networks
Social organization
Statistical analysis
Sustainability
title COVID-19 Misinformation in Portuguese-Speaking Countries: Agreement with Content and Associated Factors
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