University of Applied Sciences Flensburg, Kanzleistraße 91-93, Flensburg 24943, Germany; Department of Software Engineering, Blekinge Institute of Technology, Karlskrona, Sweden.
University of Applied Sciences Flensburg, Kanzleistraße 91-93, Flensburg 24943, Germany.
Health Policy. 2021 Apr;125(4):541-547. doi: 10.1016/j.healthpol.2021.01.001. Epub 2021 Jan 9.
The literature highlights Twitter as a vital instrument tool for health policy-makers for health communication and promotion. Furthermore, Twitter is a tool allowing us to understand the focus of people regarding a topic of interest.
To provide health policy-makers with insights concerning key topics of interest in the Twitter community regarding Covid-19, and to support information search and health communication.
A total of 28.5M tweets have been retrieved, of which 6.9M tweets included hashtags. The data was analyzed using data science and natural language processing libraries. Qualitative analysis was performed using thematic analysis.
907k different hashtags were used. Of these, only 1192 hashtags were used more than 1000 times. The qualitative analysis resulted in 13 themes. The top three themes regarding the number of hashtags used were related to Covid-19, identifying information, interventions, and geographical tagging. We explored the relationship between themes and showed how health practitioners can understand the communication in relation to specific topics expressed as hashtags (e.g., #stayhome).
The results provide first insights for policy-makers and health practitioners to identify relevant tweets and to choose appropriate hashtags for health communication. The results also show that only with a limited number of Tweets (10 per day) health organizations could have been among the top users.
文献强调了 Twitter 作为卫生政策制定者进行卫生交流和宣传的重要工具。此外，Twitter 是一种工具，使我们能够了解人们对感兴趣主题的关注焦点。
为卫生政策制定者提供有关 Twitter 社区中与 Covid-19 相关的主要关注主题的见解，并支持信息搜索和卫生交流。
共检索到 2.85 亿条推文，其中 690 万条推文包含主题标签。使用数据科学和自然语言处理库对数据进行分析。使用主题分析进行定性分析。
使用了 90.7 万个不同的主题标签。其中，只有 1192 个主题标签使用超过 1000 次。定性分析产生了 13 个主题。使用主题标签最多的三个主题与 Covid-19、识别信息、干预措施和地理标记有关。我们探讨了主题之间的关系，并展示了卫生从业人员如何理解与特定主题相关的交流（例如，#stayhome）。
研究结果为政策制定者和卫生从业人员提供了初步见解，以识别相关推文并选择适当的主题标签进行卫生交流。结果还表明，卫生组织只需每天发布 10 条推文即可成为最受欢迎的用户之一。
