Longitudinal Changes of COVID-19 Symptoms in Social Media: Observational Study.

Sarah Sarabadani Gaurav Baruah Yan Fossat Jouhyun Jeon

Published in: Journal of medical Internet research (2022)

In this study, we showed the dynamic changes in COVID-19 symptoms during the infection and recovery phases of the disease. Our findings suggest the feasibility of using social media data for investigating disease states and understanding the evolution of the physiological and psychological characteristics of COVID-19 infection over time.

Keyphrases

social media
coronavirus disease
sars cov
health information
electronic health record
machine learning
cross sectional
depressive symptoms