Login / Signup

Monitoring Depression Trends on Twitter During the COVID-19 Pandemic: Observational Study.

Yipeng ZhangHanjia LyuYubao LiuXiyang ZhangYu WangJiebo Luo
Published in: JMIR infodemiology (2021)
This study proposes an efficient method that can be used to analyze the depression level of different groups of people on Twitter. We hope this study can raise awareness among researchers and the public of COVID-19's impact on people's mental health. The noninvasive monitoring system can also be readily adapted to other big events besides COVID-19 and can be useful during future outbreaks.
Keyphrases
  • mental health
  • coronavirus disease
  • sars cov
  • social media
  • depressive symptoms
  • healthcare
  • sleep quality
  • adverse drug