A multi-modal panel dataset to understand the psychological impact of the pandemic.
Journal
Scientific data
ISSN: 2052-4463
Titre abrégé: Sci Data
Pays: England
ID NLM: 101640192
Informations de publication
Date de publication:
11 08 2023
11 08 2023
Historique:
received:
01
02
2023
accepted:
02
08
2023
medline:
14
8
2023
pubmed:
12
8
2023
entrez:
11
8
2023
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 37567922
doi: 10.1038/s41597-023-02438-y
pii: 10.1038/s41597-023-02438-y
pmc: PMC10421916
doi:
Types de publication
Dataset
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
537Informations de copyright
© 2023. Springer Nature Limited.
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