Digital Public Health Surveillance Tools for Alcohol Use and HIV Risk Behaviors.
Renee GarettSean D YoungPublished in: AIDS and behavior (2021)
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.
Keyphrases
- big data
- public health
- antiretroviral therapy
- electronic health record
- social media
- hiv positive
- hiv infected
- human immunodeficiency virus
- hepatitis c virus
- hiv testing
- artificial intelligence
- machine learning
- hiv aids
- healthcare
- men who have sex with men
- mental health
- emergency department
- cross sectional
- global health
- adverse drug
- heart rate
- alcohol consumption
- human health