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Subjective Well-Being of Chinese Sina Weibo Users in Residential Lockdown During the COVID-19 Pandemic: Machine Learning Analysis.

Yilin WangPeijing WuXiaoqian LiuSijia LiTingshao ZhuNan Zhao
Published in: Journal of medical Internet research (2020)
These findings increase our understanding of the psychological impact and cost of residential lockdown during an epidemic. The more negative changes in the SWB of residents in developed areas imply a greater need for psychological intervention under residential lockdown in such areas.
Keyphrases
  • air pollution
  • machine learning
  • sleep quality
  • randomized controlled trial
  • artificial intelligence
  • depressive symptoms
  • physical activity