Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data.
Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data.
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DOI：
10.2196/24859
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发表时间：
2021-01-05
影响因子：
8.5
通讯作者：
Li D
中科院分区：
文献类型：
--
作者：
Gao Y;Xie Z;Li D
此前的研究表明，电子烟（电子烟）使用者可能更容易感染COVID-19，如果他们感染这种疾病，由于他们对病毒感染的免疫反应受损，可能会出现更严重的症状。Twitter等社交媒体平台已被全球各地的个人广泛使用，以表达他们对当前COVID-19疫情的反应。在这项研究中，我们的目的是研究使用电子烟的Twitter用户对COVID-19大流行的态度的纵向变化，以及基于Twitter数据比较电子烟用户和非用户之间的态度差异。研究数据集包含2020年3月5日至4月3日期间发布的COVID-19相关Twitter帖子（推文），使用带有COVID-19相关关键字的Twitter流媒体应用程序编程接口收集。Twitter用户被分为两组：Ecig组，包括没有商业账户但在2019年5月至2019年8月期间发布电子烟相关推文的用户，以及非Ecig组，包括没有发布任何电子烟相关推文的用户。进行了情绪分析，以比较两组之间对COVID-19大流行的情绪评分，并确定所表达的情绪是积极的、消极的还是中性的。主题建模进行比较组之间讨论的主要议题。美国COVID-19数据集包括从Ecig组的187，399名独特Twitter用户收集的4，500，248条COVID-19相关推文，以及从非Ecig组的2，511，659名独特Twitter用户收集的11，479，773条COVID-19相关推文。情绪分析表明，Ecig组用户比非Ecig组用户有更多的负面情绪得分。主题建模的结果显示，Ecig组用户更关注COVID-19导致的死亡，而非Ecig组用户更关注政府对COVID-19疫情的应对。我们的研究结果显示，在Twitter上发布电子烟的用户对COVID-19大流行有更多的担忧。这些发现可以告知公共卫生从业人员使用Twitter等社交媒体平台及时监测公众对COVID-19大流行的反应，并教育和鼓励目前的电子烟使用者戒烟，以尽量减少与COVID-19相关的风险。
Previous studies have shown that electronic cigarette (e-cigarette) users might be more vulnerable to COVID-19 infection and could develop more severe symptoms if they contract the disease owing to their impaired immune responses to viral infections. Social media platforms such as Twitter have been widely used by individuals worldwide to express their responses to the current COVID-19 pandemic. In this study, we aimed to examine the longitudinal changes in the attitudes of Twitter users who used e-cigarettes toward the COVID-19 pandemic, as well as compare differences in attitudes between e-cigarette users and nonusers based on Twitter data. The study dataset containing COVID-19–related Twitter posts (tweets) posted between March 5 and April 3, 2020, was collected using a Twitter streaming application programming interface with COVID-19–related keywords. Twitter users were classified into two groups: Ecig group, including users who did not have commercial accounts but posted e-cigarette–related tweets between May 2019 and August 2019, and non-Ecig group, including users who did not post any e-cigarette–related tweets. Sentiment analysis was performed to compare sentiment scores towards the COVID-19 pandemic between both groups and determine whether the sentiment expressed was positive, negative, or neutral. Topic modeling was performed to compare the main topics discussed between the groups. The US COVID-19 dataset consisted of 4,500,248 COVID-19–related tweets collected from 187,399 unique Twitter users in the Ecig group and 11,479,773 COVID-19–related tweets collected from 2,511,659 unique Twitter users in the non-Ecig group. Sentiment analysis showed that Ecig group users had more negative sentiment scores than non-Ecig group users. Results from topic modeling indicated that Ecig group users had more concerns about deaths due to COVID-19, whereas non-Ecig group users cared more about the government’s responses to the COVID-19 pandemic. Our findings show that Twitter users who tweeted about e-cigarettes had more concerns about the COVID-19 pandemic. These findings can inform public health practitioners to use social media platforms such as Twitter for timely monitoring of public responses to the COVID-19 pandemic and educating and encouraging current e-cigarette users to quit vaping to minimize the risks associated with COVID-19.
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