Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors

被引:0
作者
Renee Garett
Sean D. Young
机构
[1] University of California,ElevateU, LLC; and Department of Informatics
[2] University of California,Department of Emergency Medicine
[3] Irvine,University of California Institute for Prediction Technology, Department of Informatics
[4] University of California,undefined
[5] Irvine,undefined
来源
AIDS and Behavior | 2021年 / 25卷
关键词
HIV; Substance use; Social media; Wearables; Sensors;
D O I
暂无
中图分类号
学科分类号
摘要
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.
引用
收藏
页码:333 / 338
页数:5
相关论文
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