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.

In: Scientific Data, Vol. 9, No. 331, 2022.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Blackburn, AM, Vestergren, S, the COVIDiSTRESS II Consortium & Jeftic, A 2022, 'COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic', Scientific Data, vol. 9, no. 331. https://doi.org/10.1038/s41597-022-01383-6

APA

Blackburn, A. M., Vestergren, S., the COVIDiSTRESS II Consortium, & Jeftic, A. (2022). COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic. Scientific Data, 9(331). https://doi.org/10.1038/s41597-022-01383-6

Vancouver

Blackburn AM, Vestergren S, the COVIDiSTRESS II Consortium, Jeftic A. COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic. Scientific Data. 2022;9(331). https://doi.org/10.1038/s41597-022-01383-6

Author

Blackburn, Angélique M. ; Vestergren, Sara ; the COVIDiSTRESS II Consortium ; Jeftic, Alma. / COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic. In: Scientific Data. 2022 ; Vol. 9, No. 331.

Bibtex

@article{c6f420918fb44556bd85bc662b5334bc,
title = "COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic",
abstract = "During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals{\textquoteright} 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.",
author = "Blackburn, {Ang{\'e}lique M.} and Sara Vestergren and {the COVIDiSTRESS II Consortium} and Blackburn, {Ang{\'e}lique M.} and Sara Vestergren and Tran, {Thao P.} and Sabrina St{\"o}ckli and Griffin, {Siobh{\'a}n M.} and Evangelos Ntontis and Alma Jeftic and Stavroula Chrona and G{\"o}zde Ikizer and Hyemin Han and Milfont, {Taciano L.} and Douglas Parry and Grace Byrne and Mercedes G{\'o}mez-L{\'o}pez and Alida Acosta and Marta Kowal and Leon, {Gabriel De} and Aranza Gallegos and Miles Perez and Mohamed Abdelrahman and Elayne Ahern and Yar, {Ahmad Wali Ahmad} and Oli Ahmed and Alami, {Nael H.} and Rizwana Amin and Andersen, {Lykke E.} and Ara{\'u}jo, {Br{\'a}ulio Oliveira} and Asongu, {Norah Aziamin} and Fabian Bartsch and Jozef Bavo{\v I}{\'a}r and Bhatta, {Khem Raj} and Tuba Bircan and Shalani Bita and Hasitha Bombuwala and Tymofii Brik and Huseyin Cakal and Marjolein Cani{\"e}ls and Marcela Carballo and Carvalho, {Nathalia M.} and Laura Cely and Sophie Chang and Maria Chayinska and Fang-Yu Chen and Brendan Ch{\textquoteright}ng and Chukwuorji, {JohnBosco Chika} and Costa, {Ana Raquel} and Dalizu, {Vidijah Ligalaba} and Eliane Deschrijver",
note = "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. ",
year = "2022",
doi = "10.1038/s41597-022-01383-6",
language = "English",
volume = "9",
journal = "Scientific data",
issn = "2052-4463",
publisher = "nature publishing group",
number = "331",

}

RIS

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