Virginia Commonwealth University, Richmond, VA, USA.
University of North Carolina, Chapel Hill, NC, USA.
J Prim Care Community Health. 2020 Jan-Dec;11:2150132720932722. doi: 10.1177/2150132720932722.
Influenza epidemics happen every year, with more than 8 million severe cases in 2017. The most effective way to prevent seasonal influenza is vaccination. In recent years, misinformation regarding vaccines abounds on social media, but the flu vaccine is relatively understudied in this area, and the current study is the first 1 to explore the content and nature of influenza information that is shared on Twitter, comparing tweets published in the early flu season with those posted in peak flu season. Using a quantitative content analysis, 1000 tweets from both parts of the flu season were analyzed for use of Health Belief Model (HBM) variables, engagement, and flu vaccine specific variables. Findings show several promising opportunities for health organizations and professionals: HBM constructs were present more frequently than in previous, related studies, and fewer vaccine-hesitant tweets appear to be present. However, the presence of high barriers to flu vaccine uptake increased significantly from early to peak season, including an increase in the mention of conspiracy theories. Flu vaccine related tweets appear to vary in misinformation level and density throughout the flu season. While this should be confirmed by further studies over multiple flu seasons, this a finding that should be considered by public health organizations when developing flu vaccine campaigns on social media.
流感疫情每年都会发生,2017 年有超过 800 万例重症病例。预防季节性流感最有效的方法是接种疫苗。近年来,社交媒体上充斥着大量关于疫苗的错误信息,但流感疫苗在这方面的研究相对较少,目前的研究首次探讨了在 Twitter 上分享的流感信息的内容和性质,比较了流感早期和高峰期发布的推文。本研究采用定量内容分析法,对流感季节两部分的 1000 条推文进行了分析,以使用健康信念模型(HBM)变量、参与度和流感疫苗特定变量。研究结果表明,为卫生组织和专业人员提供了一些有希望的机会:HBM 结构的出现频率高于之前的相关研究,并且似乎出现了较少的疫苗犹豫推文。然而,从流感早期到高峰期,疫苗接种的高障碍明显增加,包括阴谋论的提及增加。流感疫苗相关推文在流感季节的错误信息水平和密度上似乎有所不同。虽然这需要通过多个流感季节的进一步研究来证实,但这一发现应该引起公共卫生组织在社交媒体上开展流感疫苗活动时的重视。