通过社交媒体讨论监测阿片类药物的流行

IF 12.4 1区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Delaney A. Smith, Adam Lavertu, Aadesh Salecha, Tymor Hamamsy, Keith Humphreys, Anna Lembke, Mathew V. Kiang, Russ B. Altman, Johannes C. Eichstaedt
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引用次数: 0

摘要

阿片类药物在美国持续流行,自2021年以来,每年有8万多人死亡,主要是由合成阿片类药物造成的。应对这一不断演变的流行病需要可靠和及时的信息。数据的一个来源是社交媒体平台。我们评估了Reddit数据用于监控的效用,包括海洛因、处方药和合成药物。我们建立了一个自然语言处理管道来识别与阿片类药物相关的内容,并创建了一个由1,689,039名Reddit用户组成的队列,每个用户根据他们之前的Reddit活动被分配到一个州。随着时间的推移,我们测量了他们与阿片类药物相关的职位,并将其与CDC过量用药率和NFLIS报告率进行了比较。为了模拟现实世界对合成阿片类药物过量率的预测,我们将近乎实时的Reddit数据添加到一个依赖疾病预防控制中心死亡率数据的模型中,该模型通常具有6个月的报告滞后。Reddit数据显著提高了药物过量率的预测准确性。这项研究表明,社交媒体可以帮助监测毒品流行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Monitoring the opioid epidemic via social media discussions

Monitoring the opioid epidemic via social media discussions

The opioid epidemic persists in the U.S., with over 80,000 deaths annually since 2021, primarily driven by synthetic opioids. Responding to this evolving epidemic requires reliable and timely information. One source of data is social media platforms. We assessed the utility of Reddit data for surveillance, covering heroin, prescription, and synthetic drugs. We built a natural language processing pipeline to identify opioid-related content and created a cohort of 1,689,039 Reddit users, each assigned to a state based on their previous Reddit activity. We measured their opioid-related posts over time and compared rates against CDC overdose and NFLIS report rates. To simulate the real-world prediction of synthetic opioid overdose rates, we added near real-time Reddit data to a model relying on CDC mortality data with a typical 6-month reporting lag. Reddit data significantly improved the prediction accuracy of overdose rates. This work suggests that social media can help monitor drug epidemics.

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来源期刊
CiteScore
25.10
自引率
3.30%
发文量
170
审稿时长
15 weeks
期刊介绍: npj Digital Medicine is an online open-access journal that focuses on publishing peer-reviewed research in the field of digital medicine. The journal covers various aspects of digital medicine, including the application and implementation of digital and mobile technologies in clinical settings, virtual healthcare, and the use of artificial intelligence and informatics. The primary goal of the journal is to support innovation and the advancement of healthcare through the integration of new digital and mobile technologies. When determining if a manuscript is suitable for publication, the journal considers four important criteria: novelty, clinical relevance, scientific rigor, and digital innovation.
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