We conduct a large-scale social media-based study of oral health during the COVID-19 pandemic based on tweets from 9,104 Twitter users across 26 states (with sufficient samples) in the United States for the period between November 12, 2020 and June 14, 2021. To better understand how discussions on different topics/oral diseases vary across the users, we acquire or infer demographic information of users and other characteristics based on retrieved information from user profiles. Women and younger adults (19-29) are more likely to talk about oral health problems. We use the LDA topic model to extract the major topics/oral diseases in tweets. Overall, 26.70% of the Twitter users talk about wisdom tooth pain/jaw hurt, 23.86% tweet about dental service/cavity, 18.97% discuss chipped tooth/tooth break, 16.23% talk about dental pain, and the rest are about tooth decay/gum bleeding. By conducting logistic regression, we find that discussions vary across user characteristics. More importantly, we find social disparities in oral health during the pandemic. Specifically, we find that health insurance coverage rate is the most significant predictor in logistic regression for topic prediction. People from counties with higher insurance coverage tend to tweet less about all topics of oral diseases. People from counties at a higher risk of COVID-19 talk more about tooth decay/gum bleeding and chipped tooth/tooth break. Older adults (50+), who are vulnerable to COVID-19, are more likely to discuss dental pain. To our best knowledge, this is the first large-scale social media-based study to analyze and understand oral health in America amid the COVID-19 pandemic. We hope the findings of our study through the lens of social media can provide insights for oral health practitioners and policy makers.
翻译:我们根据美国26个州(有足够的样本)的9 104个Twitter用户的推特在11月12日、2020年和2021年6月14日期间对COVID-19大流行期间的口腔健康进行了大规模社交媒体研究。为了更好地了解不同议题/口腔疾病的讨论在用户之间如何不同,我们获取或推断用户的人口信息以及根据从用户档案中提取的信息的其他特征。妇女和年轻成人(19-29年)更可能谈论口腔健康问题。我们使用LDA主题模型在Twitter中提取主要议题/口腔疾病。总体而言,26.70%的Twitter用户谈论智慧牙痛/刺痛,23.86%的口腔服务/牙痛,18.97%的Twitter关于牙/牙断裂的讨论,16.23%的口腔疼痛和其他特征的讨论,通过进行后勤回归,我们发现不同用户特征的讨论。我们发现口腔健康方面的社会差异。我们发现,健康保险覆盖率在Twise-19大趋势研究中, 最显著的预测者们在对口腔病变,在口腔病变风险中进行。人们的口腔病风险分析。从国家里,人们对口腔病风险分析。我们所有国家的希望都会讨论。