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Belief in Conspiracy Theories about COVID-19 Vaccines among Brazilians: A National Cross-Sectional Study

COVID(2024)

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摘要
Background: Vaccine hesitancy is a complex challenge that demands a comprehensive approach, one that not only acknowledges legitimate concerns within communities but also actively confronts misinformation. In this context, this study aimed to investigate the prevalence of belief in conspiracy theories about COVID-19 vaccines among Brazilians, seeking to understand the factors associated with this behavior. Method: Utilizing a national online survey conducted between May and August 2020, with a sample of 4247 participants, we conducted multivariate analysis to identify the independent determinants of this adherence, calculating adjusted prevalence ratios (APRs) and their 95% confidence intervals. Results: It was revealed that 27.7% of participants believed in at least one conspiracy theory. Factors associated with a higher level of adherence included agreement with at least one piece of COVID-19 misinformation on social media (APR: 3.65; 95% CI: 3.07-4.34), lack of difficulty accessing leisure activities during the pandemic (APR: 3.11; 95% CI: 1.85-5.24), age 50 years or older (APR: 1.70; 95% CI: 1.49-1.94), absence of difficulty accessing protective measures (APR: 1.47; 95% CI: 1.26-1.72), use of face masks (APR: 1.62; 95% CI: 1.33-1.97), non-use of at least one traditional media source for information (APR: 1.47; 95% CI: 1.26-1.72), female gender (APR: 1.41; 95% CI: 1.25-1.60), and age between 30 and 49 years (APR: 1.35; 95% CI: 1.19-1.52). Conclusions: Our findings highlight that it is crucial to recognize that vaccine hesitancy is not merely an isolated phenomenon but often rooted in a complex interplay of social, cultural, psychological, and political factors. There is a need for multifaceted strategies to combat vaccine hesitancy, effectively address conspiracy theories, and consider the various factors associated with their prevalence.
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关键词
vaccines,vaccine hesitancy,COVID-19,health belief model,conspiracy theories,misinformation,global health
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