a Centre for Health Informatics, Australian, Institute of Health Innovation, Macquarie University , Sydney, NSW , Australia.
b National Centre for Immunisation Research & Surveillance, The University of Sydney , Sydney, NSW , Australia.
Hum Vaccin Immunother. 2019;15(7-8):1488-1495. doi: 10.1080/21645515.2019.1596712. Epub 2019 Apr 12.
: Human papillomavirus (HPV) vaccine coverage in Australia is 80% for females and 76% for males. Attitudes may influence coverage but surveys measuring attitudes are resource-intensive. The aim of this study was to determine whether Twitter-derived estimates of HPV vaccine information exposure were associated with differences in coverage across regions in Australia. : Regional differences in information exposure were estimated from 1,103,448 Australian Twitter users and 655,690 HPV vaccine related tweets posted between 6 September 2013 and 1 September 2017. Tweets about HPV vaccines were grouped using topic modelling; an algorithm for clustering text-based data. Proportional exposure to topics across 25 regions in Australia were used as factors to model HPV vaccine coverage in females and males, and compared to models using employment and education as factors. : Models using topic exposure measures were more closely correlated with HPV vaccine coverage (female: Pearson's R = 0.75 [0.49 to 0.88]; male: R = 0.76 [0.51 to 0.89]) than models using employment and education as factors (female: 0.39 [-0.02 to 0.68]; male: 0.36 [-0.04 to 0.66]). In Australia, positively-framed news tended to reach more Twitter users overall, but vaccine-critical information made up higher proportions of exposures among Twitter users in low coverage regions, where distorted characterisations of safety research and vaccine-critical blogs were popular. : Twitter-derived models of information exposure were correlated with HPV vaccine coverage in Australia. Topic exposure measures may be useful for providing timely and localised reports of the information people access and share to inform the design of targeted vaccine promotion interventions.
人乳头瘤病毒(HPV)疫苗在澳大利亚的接种率为女性 80%,男性 76%。态度可能会影响接种率,但测量态度的调查需要大量资源。本研究旨在确定从 Twitter 上获得的 HPV 疫苗信息暴露估计值是否与澳大利亚各地区的接种率差异有关。
从 2013 年 9 月 6 日至 2017 年 9 月 1 日期间,1103448 名澳大利亚 Twitter 用户和 655690 条与 HPV 疫苗相关的推文估算了区域信息暴露差异。使用主题建模对 HPV 疫苗推文进行分组;主题建模是一种基于聚类文本数据的算法。将澳大利亚 25 个地区的 HPV 疫苗主题暴露比例作为因素,用于对女性和男性 HPV 疫苗接种率进行建模,并与使用就业和教育作为因素的模型进行比较。
使用主题暴露衡量指标的模型与 HPV 疫苗接种率的相关性更高(女性:Pearson R=0.75 [0.49 至 0.88];男性:R=0.76 [0.51 至 0.89]),而使用就业和教育作为因素的模型相关性较低(女性:0.39 [-0.02 至 0.68];男性:0.36 [-0.04 至 0.66])。在澳大利亚,正面新闻的推文往往更受 Twitter 用户欢迎,但在疫苗接种率较低的地区,疫苗批评信息在 Twitter 用户中的暴露比例更高,在这些地区,对安全性研究和疫苗批评博客的扭曲描述很受欢迎。
从 Twitter 获得的信息暴露模型与澳大利亚 HPV 疫苗接种率相关。主题暴露衡量指标可能有助于及时提供人们获取和分享信息的本地报告,以了解针对疫苗推广干预措施的设计。