Department of Epidemiology and Biostatistics, University of California at San Francisco, San Francisco, CA 94158, USA.
Bakar Computational Health Sciences Institute, University of California at San Francisco, San Francisco, CA 94143, USA.
Int J Environ Res Public Health. 2021 Aug 3;18(15):8203. doi: 10.3390/ijerph18158203.
The US Centers for Disease Control and Prevention alerted of a suspected outbreak of lung illness associated with using E-cigarette products in September 2019. At the time that the CDC published its alert little was known about the causes of the outbreak or who was at risk for it. Here we provide insights into the outbreak through analysis of passive reporting and participatory surveillance. We collected data about vaping habits and associated adverse reactions from four data sources pertaining to people in the USA: A participatory surveillance platform (YouVape), Reddit, Google Trends, and Bing. Data were analyzed to identify vaping behaviors and reported adverse events. These were correlated among sources and with prior reports. Data was obtained from 720 YouVape users, 4331 Reddit users, and over 1 million Bing users. Large geographic variation was observed across vaping products. Significant correlation was found among the data sources in reported adverse reactions. Models of participatory surveillance data found specific product and adverse reaction associations. Specifically, cannabidiol was found to be associated with fever, while tetrahydrocannabinol was found to be correlated with diarrhea. Our results demonstrate that utilization of different, complementary, online data sources provide a holistic view of vaping associated lung injury while augmenting traditional data sources.
美国疾病控制与预防中心(CDC)于 2019 年 9 月警告称,与使用电子烟产品有关的疑似肺部疾病爆发。当时,CDC 发布警报时,对于疫情的病因或哪些人面临风险知之甚少。在这里,我们通过被动报告和参与式监测分析,深入了解疫情。我们从四个与美国相关的数据源收集了有关蒸气习惯和相关不良反应的信息:一个参与式监测平台(YouVape)、Reddit、Google Trends 和 Bing。对数据进行了分析,以确定蒸气行为和报告的不良反应。这些数据在来源之间以及与先前的报告进行了相关性分析。从 720 名 YouVape 用户、4331 名 Reddit 用户和超过 100 万 Bing 用户那里获得了数据。在蒸气产品方面,观察到了很大的地域差异。在报告的不良反应方面,发现了数据源之间存在显著相关性。参与式监测数据模型发现了特定产品和不良反应的关联。具体而言,大麻二酚与发热有关,而四氢大麻酚与腹泻有关。我们的结果表明,利用不同的、互补的在线数据源提供了一个整体的视角,了解与蒸气相关的肺部损伤,同时增强了传统数据源。