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

agreement with content and associated factors
Authors: Álvaro Francisco Lopes de Sousa; Guilherme Schneider; Herica Emilia Félix de Carvalho; Layze Braz de Oliveira; Shirley Verônica Melo Almeida Lima; Anderson Reis de Sousa; Telma Maria Evangelista de Araújo; +12 Authors

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

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: 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.

Country
Portugal
Keywords

Environmental effects of industries and plants, COVID-19, TJ807-830, Coronavirus infections, pandemics, health-related behaviors, TD194-195, Renewable energy sources, biomedical technology, Environmental sciences, Biomedical technology, coronavirus infections, Health-related behaviors, Misinformation, COVID-19; misinformation; pandemics; coronavirus infections; biomedical technology; health-related behaviors, GE1-350, misinformation, Pandemics

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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9
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24
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