COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic
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COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic. / Blackburn, Angélique M.; Vestergren, Sara; the COVIDiSTRESS II Consortium ; Jeftic, Alma.
I: Scientific Data, Bind 9, Nr. 331, 2022.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic
AU - Blackburn, Angélique M.
AU - Vestergren, Sara
AU - the COVIDiSTRESS II Consortium
AU - Blackburn, Angélique M.
AU - Vestergren, Sara
AU - Tran, Thao P.
AU - Stöckli, Sabrina
AU - Griffin, Siobhán M.
AU - Ntontis, Evangelos
AU - Jeftic, Alma
AU - Chrona, Stavroula
AU - Ikizer, Gözde
AU - Han, Hyemin
AU - Milfont, Taciano L.
AU - Parry, Douglas
AU - Byrne, Grace
AU - Gómez-López, Mercedes
AU - Acosta, Alida
AU - Kowal, Marta
AU - Leon, Gabriel De
AU - Gallegos, Aranza
AU - Perez, Miles
AU - Abdelrahman, Mohamed
AU - Ahern, Elayne
AU - Yar, Ahmad Wali Ahmad
AU - Ahmed, Oli
AU - Alami, Nael H.
AU - Amin, Rizwana
AU - Andersen, Lykke E.
AU - Araújo, Bráulio Oliveira
AU - Asongu, Norah Aziamin
AU - Bartsch, Fabian
AU - Bavoľár, Jozef
AU - Bhatta, Khem Raj
AU - Bircan, Tuba
AU - Bita, Shalani
AU - Bombuwala, Hasitha
AU - Brik, Tymofii
AU - Cakal, Huseyin
AU - Caniëls, Marjolein
AU - Carballo, Marcela
AU - Carvalho, Nathalia M.
AU - Cely, Laura
AU - Chang, Sophie
AU - Chayinska, Maria
AU - Chen, Fang-Yu
AU - Ch’ng, Brendan
AU - Chukwuorji, JohnBosco Chika
AU - Costa, Ana Raquel
AU - Dalizu, Vidijah Ligalaba
AU - Deschrijver, Eliane
N1 - Later published in Scientific data 10, DOI: 10.1038/s41597-022-01896-0: Author Correction: The original version of this Article contained an error in the spelling of the author Krzysztof Hanusz, which was incorrectly given as Hanusz Krzysztof. This has now been corrected in both the PDF and HTML versions of the Article.
PY - 2022
Y1 - 2022
N2 - During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals’ experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy.
AB - During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals’ experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy.
U2 - 10.1038/s41597-022-01383-6
DO - 10.1038/s41597-022-01383-6
M3 - Journal article
C2 - 36599849
VL - 9
JO - Scientific data
JF - Scientific data
SN - 2052-4463
IS - 331
ER -
ID: 332608714