COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak
Authors
Coll-Martín, Tao
Debove, Stéphane
Travaglino, Giovanni A.
Lieberoth, Andreas
Blackburn, Angélique M.
Boullu, Loïs
Bujić, Mila
Byrne, Grace
Caniëls, Marjolein C. J.
Flis, Ivan
Kowal, Marta
Rachev, Nikolay R.
Reynoso-Alcántara, Vicenta
Zerhouni, Oulmann
Ahmed, Oli
Amin, Rizwana
Aquino, Sibele
Areias, João Carlos
Aruta, John Jamir Benzon R.
Bamwesigye, Dastan
Bavolar, Jozef
Bender, Andrew R.
Bhandari, Pratik
Bircan, Tuba
Cakal, Huseyin
Capelos, Tereza
Ch’ng, Brendan
Chen, Fang-Yu
Chrona, Stavroula
Contreras-Ibáñez, Carlos C.
Correa, Pablo Sebastián
Cristofori, Irene
Cyrus-Lai, Wilson
Delgado-Garcia, Guillermo
Deschrijver, Eliane
Díaz, Carlos
Dilekler, İlknur
Dranseika, Vilius
Dubrov, Dmitrii
Eichel, Kristina
Ermagan-Caglar, Eda
Gelpí, Rebekah
González, Rubén Flores
Griffin, Amanda
Hakim, Moh Abdul
Hanusz, Krzysztof
Ho, Yuen Wan
Hristova, Dayana
Hubena, Barbora
Ihaya, Keiko
Islam, Md. Nurul
Jeftic, Alma
Jha, Shruti
Juárez, Fernanda Pérez-Gay
Kacmar, Pavol
Kalinova, Kalina
Kavanagh, Phillip S.
Kosa, Mehmet
Koszałkowska, Karolina
Kumaga, Raisa
Lee, Yookyung
Lentoor, Antonio G.
De Leon, Gabriel A.
Lin, Shiang-Yi
Lins, Samuel
López, Claudio Rafael Castro
Lys, Agnieszka E.
Mahlungulu, Samkelisiwe
Makaveeva, Tsvetelina
Mamede, Salomé
Marot, Tiago A.
Martinez, Liz
Meshi, Dar
Mola, Débora Jeanette
Morales-Izquierdo, Sara
Musliu, Arian
Naidu, Priyanka A.
Najmussaqib, Arooj
Nebel, Steve
Nezkusilova, Jana
Nikolova, Irina
Ortiz, María Victoria
Ozery, Daphna Hausman
Pankowski, Daniel
Pennato, Tiziana
Pírko, Martin
Reyna, Cecilia
Romano, Eugenia
Sahin, Hafize
Sanli, Aybegum Memisoglu
Sayılan, Gülden
Scarpaci, Alessia
Sechi, Cristina
Shani, Maor
Shata, Aya
Sinha, Nidhi
Stöckli, Sabrina
Studzinska, Anna
Sungailaite, Emilija
Szebeni, Zea
Taranu, Mihaela
Tisocco, Franco
Turk, Fidan
Uddin, Muhammad Kamal
Uzelac, Ena
Vestergren, Sara
Vilar, Roosevelt
Wang, Austin Horng-En
West, J. Noël
Wu, Charles K. S.
Yaneva, Teodora
Publication Date
2021-01-04Journal Title
Scientific Data
Publisher
Nature Publishing Group UK
Volume
8
Issue
1
Language
en
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Yamada, Y., Ćepulić, D., Coll-Martín, T., Debove, S., Gautreau, G., Han, H., Rasmussen, J., et al. (2021). COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak. Scientific Data, 8 (1) https://doi.org/10.1038/s41597-020-00784-9
Description
Funder: Consejo Nacional de Ciencia y Tecnología (CONCYT); doi: https://doi.org/10.13039/501100007350
Funder: Research Foundation Flanders (FWO) postdoctoral fellowship
Funder: The HSE University Basic Research Program
Funder: JSPS KAKENHI Grant JP20K14222
Abstract
Abstract: This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey – an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.
Keywords
Data Descriptor, /706/689/477, /631/477/2811, data-descriptor
Sponsorship
MEXT | Japan Society for the Promotion of Science (JSPS) (JP17H00875, JP18K12015, JP20H04581)
Identifiers
s41597-020-00784-9, 784
External DOI: https://doi.org/10.1038/s41597-020-00784-9
This record's URL: https://www.repository.cam.ac.uk/handle/1810/315658
Rights
Attribution 4.0 International (CC BY 4.0)
Licence URL: https://creativecommons.org/licenses/by/4.0/
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