论文标题
社交媒体使用对阿拉伯世界对Covid-19疫苗的公共态度和行为的影响
Influences of social media usage on public attitudes and behavior towards COVID-19 vaccine in the Arab world
论文作者
论文摘要
背景：仅当大量人接种疫苗时，疫苗接种计划才有效。但是，世界各地社区的疫苗接收有所不同。社交媒体使用可以说是影响公众对疫苗态度的因素之一。目的：本研究旨在确定是否可以使用社交媒体用法来预测阿拉伯世界人民中对Covid-19疫苗的态度和行为。方法：在阿拉伯国家进行了一项在线调查，217名阿拉伯人参加了这项研究。应用逻辑回归来确定哪些人口统计学和社交媒体用法因素可以预测公众对COVID-19疫苗的态度和行为。结果：在217名参与者中，有56.22％愿意接受疫苗，其中41.47％的人犹豫不决。这项研究表明，没有任何社交媒体用法足以预测实际的疫苗接收行为。尽管分析表明，很少有社交媒体使用因素可以预测公众对Covid-19疫苗的态度。例如，频繁的社交媒体用户同意Covid-19的风险被夸大（OR = 2.85，95％CI = 0.86-9.45，p = 0.046）的可能性高2.85倍。尽管参与者对通过联系人共享的疫苗信息具有更多信任，但不太可能同意决策者已经证实了疫苗是安全的（OR = 0.528，95％CI = 0.276-1.012，p = 0.05）。结论：社交媒体的使用及其在其上共享的信息可能会影响公众对Covid-19-19疫苗的态度。因此，传播有关COVID-19和社交媒体上其他疫苗的正确和验证的信息对于增加公众信任和反对不正确和错误信息的影响至关重要。
Background: Vaccination programs are effective only when a significant percentage of people are vaccinated. However, vaccine acceptance varies among communities around the world. Social media usage is arguably one of the factors affecting public attitudes towards vaccines. Objective: This study aims to identify if the social media usages factors can be used to predict attitudes and behavior towards the COVID-19 vaccines among the people in the Arab world. Methods: An online survey was conducted in the Arab countries and 217 Arab people participated in this study. Logistic regression was applied to identify what demographics and social media usage factors predict public attitudes and behavior towards the COVID-19 vaccines. Results: Of the 217 participants, 56.22% of them were willing to accept the vaccine and 41.47% of them were hesitant. This study shows that none of the social media usages factors were significant enough to predict the actual vaccine acceptance behavior. Whereas the analysis showed few of the social media usage factors can predict public attitudes towards the COVID-19 vaccines. For example, frequent social media users were 2.85 times more likely to agree that the risk of COVID-19 is being exaggerated (OR=2.85, 95% CI=0.86-9.45, p=0.046) than infrequent social media users. Whereas participants having more trust in vaccine information shared by their contacts are less likely to agree that decision-makers have verified that vaccines are safe (OR=0.528, 95% CI= 0.276-1.012, p=0.05). Conclusion: The use of social media and information shared on it may affect public attitudes towards COVID-19 vaccines. Therefore, disseminating correct and validated information about COVID-19 and other vaccines on social media is important for increasing public trust and countering the impact of incorrect and misinformation.
