COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak
Creators: name: Yamada, Yuki
name: Ćepulić, Dominik-Borna
name: Coll-Martín, Tao
name: Debove, Stéphane
name: Gautreau, Guillaume
name: Han, Hyemin
name: Rasmussen, Jesper
name: Tran, Thao P.
name: Travaglino, Giovanni A.
name: Lieberoth, Andreas
name: Blackburn, Angélique M.
name: Boullu, Loïs
name: Bujić, Mila
name: Byrne, Grace
name: Caniëls, Marjolein C. J.
name: Flis, Ivan
name: Kowal, Marta
name: Rachev, Nikolay R.
name: Reynoso-Alcántara, Vicenta
name: Zerhouni, Oulmann
name: Ahmed, Oli
name: Amin, Rizwana
name: Aquino, Sibele
name: Areias, João Carlos
name: Aruta, John Jamir Benzon R.
name: Bamwesigye, Dastan
name: Bavolar, Jozef
name: Bender, Andrew R.
name: Bhandari, Pratik
name: Bircan, Tuba
name: Cakal, Huseyin
name: Capelos, Tereza
name: Čeněk, Jiří
name: Ch’ng, Brendan
name: Chen, Fang-Yu
name: Chrona, Stavroula
name: Contreras-Ibáñez, Carlos C.
name: Correa, Pablo Sebastián
name: Cristofori, Irene
name: Cyrus-Lai, Wilson
name: Delgado-Garcia, Guillermo
name: Deschrijver, Eliane
name: Díaz, Carlos
name: Dilekler, İlknur
name: Dranseika, Vilius
name: Dubrov, Dmitrii
name: Eichel, Kristina
name: Ermagan-Caglar, Eda
name: Gelpí, Rebekah
name: González, Rubén Flores
name: Griffin, Amanda
name: Hakim, Moh Abdul
name: Hanusz, Krzysztof
name: Ho, Yuen Wan
name: Hristova, Dayana
name: Hubena, Barbora
name: Ihaya, Keiko
name: Ikizer, Gozde
name: Islam, Md. Nurul
name: Jeftic, Alma
name: Jha, Shruti
name: Juárez, Fernanda Pérez-Gay
name: Kacmar, Pavol
name: Kalinova, Kalina
name: Kavanagh, Phillip S.
name: Kosa, Mehmet
name: Koszałkowska, Karolina
name: Kumaga, Raisa
name: Lacko, David
name: Lee, Yookyung
name: Lentoor, Antonio G.
name: De Leon, Gabriel A.
name: Lin, Shiang-Yi
name: Lins, Samuel
name: López, Claudio Rafael Castro
name: Lys, Agnieszka E.
name: Mahlungulu, Samkelisiwe
name: Makaveeva, Tsvetelina
name: Mamede, Salomé
name: Mari, Silvia
name: Marot, Tiago A.
name: Martinez, Liz
name: Meshi, Dar
name: Mola, Débora Jeanette
name: Morales-Izquierdo, Sara
name: Musliu, Arian
name: Naidu, Priyanka A.
name: Najmussaqib, Arooj
name: Natividade, Jean C.
name: Nebel, Steve
name: Nezkusilova, Jana
name: Nikolova, Irina
name: Ninaus, Manuel
name: Noreika, Valdas
name: Ortiz, María Victoria
name: Ozery, Daphna Hausman
name: Pankowski, Daniel
name: Pennato, Tiziana
name: Pírko, Martin
name: Pummerer, Lotte
name: Reyna, Cecilia
name: Romano, Eugenia
name: Sahin, Hafize
name: Sanli, Aybegum Memisoglu
name: Sayılan, Gülden
name: Scarpaci, Alessia
name: Sechi, Cristina
name: Shani, Maor
name: Shata, Aya
name: Sikka, Pilleriin
name: Sinha, Nidhi
name: Stöckli, Sabrina
name: Studzinska, Anna
name: Sungailaite, Emilija
name: Szebeni, Zea
name: Tag, Benjamin
name: Taranu, Mihaela
name: Tisocco, Franco
name: Tuominen, Jarno
name: Turk, Fidan
name: Uddin, Muhammad Kamal
name: Uzelac, Ena
name: Vestergren, Sara
name: Vilar, Roosevelt
name: Wang, Austin Horng-En
name: West, J. Noël
name: Wu, Charles K. S.
name: Yaneva, Teodora
name: Yeh, Yao-Yuan
Publisher: name: Apollo - University of Cambridge Repository
Year: 2021
Subjects: Data Descriptor
/706/689/477
/631/477/2811
data-descriptor

description: Funder: Consejo Nacional de Ciencia y Tecnología (CONCYT); doi: https://doi.org/10.13039/501100007350
description: Funder: Research Foundation Flanders (FWO) postdoctoral fellowship
description: Funder: The HSE University Basic Research Program
description: Funder: JSPS KAKENHI Grant JP20K14222
description: 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.