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首页> 外文期刊>JMIR public health and surveillance. >Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data
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Electronic Cigarette Users' Perspective on the COVID-19 Pandemic: Observational Study Using Twitter Data

机译：电子烟用户在Covid-19大流行的透视：使用Twitter数据的观察研究

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Background 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. Objective 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. Methods 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. Results 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. Conclusions 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.
机译：背景技术前面的研究表明，电子烟（电子烟）用户可能更容易受到Covid-19感染的影响，并且如果由于它们对病毒感染的免疫应答受损，因此如果他们侵入疾病，则会产生更严重的症状。世界各地的社交媒体平台已被全球的个人广泛使用，以表达对当前Covid-19大流行的反应。目的在这项研究中，我们旨在研究利用电子卷烟对Covid-19大流行的推特用户态度的纵向变化，并根据推特数据比较电子烟用户和非用户的态度。方法使用Covid-19相关关键字的Twitter流应用程序编程接口收集包含Covid-19相关的Twitter Post（推文）的研究数据集（推文）。 Twitter用户被分为两组：ECIG集团，包括没有商业账户的用户，但在2019年5月和2019年5月期间发布了与电子烟相关的推文，以及非生态集团，包括未发布任何电子烟的用户 - 相关的推文。进行情绪分析以比较两组Covid-19大流行的情绪分数，并确定表达的致情绪是阳性，阴性还是中性。执行主题建模以比较组之间讨论的主要主题。结果美国CoVID-19数据集团由4500,248个Covid-19相关推文组成，从187,399个独特的Twitter用户收集在ECIG Group，11,479,773个Covid-19相关推文中，从非ECIG集团的2,511,659名独特的Twitter用户收集。情绪分析表明，ECIG集团用户比非ECIG组用户更负面情绪分数。主题建模的结果表明，由于Covid-19，ECIG集团用户对死亡人士有更多担忧，而非生态集团用户则更多地关心政府对Covid-19大流行的反应。结论我们的调查结果表明，推特关于电子烟的推特用户对Covid-19大流行有更多担忧。这些调查结果可通知公共卫生从业者使用社交媒体平台，如Twitter，以及时监测对Covid-19大流行和教育和教育和鼓励当前电子卷烟用户的公共回复，以退出VAPING，以最大限度地减少与Covid-19相关的风险。

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