COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak
Makaleler > Tam Makale · 2021
Yazarlar: Yuki Yamada, Dominik Borna Ćepulić, Tao Coll-Martín, Stéphane Debove, Guillaume Gautreau, Hyemin Han, Jesper Rasmussen, Thao P. Tran, Giovanni A. Travaglino, Angélique M. Blackburn, Loïs Boullu, Mila Bujić, Grace Byrne, Marjolein C.J. Caniëls, Ivan Flis, Marta Kowal, Nikolay R. Rachev, Vicenta Reynoso-Alcántara, Oulmann Zerhouni, Oli Ahmed, Rizwana Amin, Sibele Aquino, João Carlos Areias, John Jamir Benzon R. Aruta, Dastan Bamwesigye, Jozef Bavolar, Andrew R. Bender, Pratik Bhandari, Tuba Bircan, Huseyin Cakal, Tereza Capelos, Jiří Čeněk, Brendan Ch’ng, Fang Yu Chen, Stavroula Chrona, Carlos C. Contreras-Ibáñez, Pablo Sebastián Correa, Irene Cristofori, Wilson Cyrus-Lai, Guillermo Delgado-Garcia, Eliane Deschrijver, Carlos Díaz, İlknur Dilekler, Vilius Dranseika, Dmitrii Dubrov, Kristina Eichel, Eda Ermagan-Caglar, Rebekah Gelpí, Rubén Flores González, Amanda Griffin, Moh Abdul Hakim, Krzysztof Hanusz, Yuen Wan Ho, Dayana Hristova, Barbora Hubena, Keiko Ihaya, Gozde Ikizer, Md Nurul Islam, Alma Jeftic, Shruti Jha, Fernanda Pérez Gay Juárez, Pavol Kacmar, Kalina Kalinova, Phillip S. Kavanagh, Mehmet Kosa, Karolina Koszałkowska, Raisa Kumaga, David Lacko, Yookyung Lee, Antonio G. Lentoor, Gabriel A. De Leon, Shiang Yi Lin, Samuel Lins, Claudio Rafael Castro López, Agnieszka E. Lys, Samkelisiwe Mahlungulu, Tsvetelina Makaveeva, Salomé Mamede, Silvia Mari, Tiago A. Marot, Liz Martinez, Dar Meshi, Débora Jeanette Mola, Sara Morales-Izquierdo, Arian Musliu, Priyanka A. Naidu, Arooj Najmussaqib, Jean C. Natividade, Steve Nebel, Jana Nezkusilova, Irina Nikolova, Manuel Ninaus, Valdas Noreika, María Victoria Ortiz, Daphna Hausman Ozery, Daniel Pankowski, Tiziana Pennato, Martin Pírko, Lotte Pummerer, Cecilia Reyna, Fidan TÜRK
SCIENTIFIC DATA, SCI Expanded İndekslerine Giren Dergi, Uluslararası, Scopus, 2021, cilt 8, ss 3-3
DOI: 10.1038/s41597-020-00784-9
Özet
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.