Exchanges in a Virtual Environment for Diabetes Self-Management Education and Support: Social Network Analysis.
Carlos A Pérez-AldanaAllison A LewinskiConstance M JohnsonAllison A VorderstrasseSahiti MyneniPublished in: JMIR diabetes (2021)
Social interaction patterns from disease-specific virtual environments can be studied using a social network analysis approach to better understand the exchange of social support. Network data can provide valuable insights into the design of novel and effective eHealth interventions given the unique opportunity virtual environments have facilitating realistic environments that are effective and sustainable, where social interactions can be leveraged to achieve diverse health goals.
Keyphrases
- network analysis
- healthcare
- social support
- mental health
- depressive symptoms
- type diabetes
- public health
- cardiovascular disease
- physical activity
- electronic health record
- metabolic syndrome
- machine learning
- quality improvement
- artificial intelligence
- risk assessment
- big data
- adipose tissue
- deep learning
- climate change