Using Twitter Data Analysis to Understand the Perceptions, Awareness, and Barriers to the Wide Use of Pre-Exposure Prophylaxis in the United States.

Arslan Erdengasileng, Shubo Tian, Sara S Green, Sylvie Naar, Zhe He
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引用次数: 1

Abstract

User-generated social media posts such as tweets can provide insights about the public's perception, cognitive, and behavioral responses to health-related issues. Pre-Exposure Prophylaxis (PrEP) is one of the most effective ways to reduce the risk of HIV infection. However, its utilization is low in the US, especially among populations disproportionately affected by HIV such as the age group of under 24 years old. It is therefore important to understand the barriers to the wider use of PrEP in the US using social media posts. In this study, we collected tweets from Twitter about PrEP in the past 4 years to identify such barriers by first identifying tweets about personal discussions, and then performing textual analysis using word analysis, UMLS semantic type analysis, and topic modeling. We found that the public often discussed advocacy, risks/benefits, access, pricing, insurance coverage, legislation, stigma, health education, and prevention of HIV. This result is consistent with the literature and can help identify strategies for promoting the use of PrEP, especially among young adults.

使用Twitter数据分析了解美国广泛使用暴露前预防的认知、意识和障碍。
用户生成的社交媒体帖子,如推文,可以提供公众对健康相关问题的感知、认知和行为反应的见解。暴露前预防(PrEP)是降低艾滋病毒感染风险的最有效方法之一。然而,在美国,它的使用率很低,尤其是在受艾滋病毒影响不成比例的人群中,如24岁以下年龄组。因此,通过社交媒体帖子了解在美国广泛使用PrEP的障碍是很重要的。在本研究中,我们收集了过去4年Twitter上关于PrEP的推文,通过首先识别关于个人讨论的推文,然后使用单词分析、UMLS语义类型分析和主题建模进行文本分析,来识别这些障碍。我们发现公众经常讨论宣传、风险/收益、获取、定价、保险范围、立法、污名、健康教育和艾滋病毒预防。这一结果与文献一致,可以帮助确定促进PrEP使用的策略,特别是在年轻人中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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