ElevateU, LLC; and Department of Informatics, University of California, Irvine, CA, USA.
Department of Emergency Medicine, University of California, Irvine, Irvine, CA, USA.
AIDS Behav. 2021 Dec;25(Suppl 3):333-338. doi: 10.1007/s10461-021-03221-z. Epub 2021 Mar 17.
There is a need for real-time and predictive data on alcohol use both broadly and specific to HIV. However, substance use and HIV data often suffer from lag times in reporting as they are typically measured from surveys, clinical case visits and other methods requiring extensive time for collection and analysis. Social big data might help to address this problem and be used to provide near real-time assessments of people's alcohol use and/or alcohol. This manuscript describes three types of social data sources (i.e., social media data, internet search data, and wearable device data) that might be used in surveillance of alcohol and HIV, and then discusses the implications and potential of implementing them as additional tools for public health surveillance.
需要实时和预测性的数据,不仅是广泛的,而且是专门针对艾滋病毒的酒精使用情况。然而,物质使用和艾滋病毒数据通常在报告中存在滞后,因为它们通常是从调查、临床病例访问和其他需要大量时间收集和分析的方法中测量得到的。社会大数据可能有助于解决这个问题,并可用于提供人们饮酒和/或酒精使用的近乎实时评估。本文描述了三种可能用于酒精和艾滋病毒监测的社会数据源(即社交媒体数据、互联网搜索数据和可穿戴设备数据),然后讨论了将其作为公共卫生监测的额外工具实施的意义和潜力。