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A multi-modal panel dataset to understand the psychological impact of the pandemic.

Isabelle van der VegtBennett Kleinberg
Published in: Scientific data (2023)
Besides far-reaching public health consequences, the COVID-19 pandemic had a significant psychological impact on people around the world. To gain further insight into this matter, we introduce the Real World Worry Waves Dataset (RW3D). The dataset combines rich open-ended free-text responses with survey data on emotions, significant life events, and psychological stressors in a repeated-measures design in the UK over three years (2020: n = 2441, 2021: n = 1716 and 2022: n = 1152). This paper provides background information on the data collection procedure, the recorded variables, participants' demographics, and higher-order psychological and text-derived variables that emerged from the data. The RW3D is a unique primary data resource that could inspire new research questions on the psychological impact of the pandemic, especially those that connect modalities (here: text data, psychological survey variables and demographics) over time.
Keyphrases
  • electronic health record
  • public health
  • big data
  • sars cov
  • coronavirus disease
  • sleep quality
  • cross sectional
  • minimally invasive
  • healthcare
  • smoking cessation
  • depressive symptoms
  • social media
  • machine learning