COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

COVIDiSTRESS Global Survey Consortium

doi:10.1038/s41597-020-00784-9

COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

COVIDiSTRESS Global Survey Consortium

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	3
Journal	Scientific Data
Volume	8
Issue number	1
DOIs	https://doi.org/10.1038/s41597-020-00784-9
Publication status	Published - 4 Jan 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1038/s41597-020-00784-9Licence: CC BY

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@article{04f522ea7fa9408596a233db30d66395,

title = "COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak",

author = "\{COVIDiSTRESS Global Survey Consortium\} and Yuki Yamada and {\'C}epuli{\'c}, \{Dominik Borna\} and Tao Coll-Mart{\'i}n and St{\'e}phane Debove and Guillaume Gautreau and Hyemin Han and Jesper Rasmussen and Tran, \{Thao P.\} and Travaglino, \{Giovanni A.\} and Blackburn, \{Ang{\'e}lique M.\} and Lo{\"i}s Boullu and Mila Buji{\'c} and Grace Byrne and Cani{\"e}ls, \{Marjolein C.J.\} and Ivan Flis and Marta Kowal and Rachev, \{Nikolay R.\} and Vicenta Reynoso-Alc{\'a}ntara and Oulmann Zerhouni and Oli Ahmed and Rizwana Amin and Sibele Aquino and Areias, \{Jo{\~a}o Carlos\} and Aruta, \{John Jamir Benzon R.\} and Dastan Bamwesigye and Jozef Bavolar and Bender, \{Andrew R.\} and Pratik Bhandari and Tuba Bircan and Huseyin Cakal and Tereza Capelos and Ji{\v r}{\'i} {\v C}en{\v e}k and Brendan Ch{\textquoteright}ng and Chen, \{Fang Yu\} and Stavroula Chrona and Contreras-Ib{\'a}{\~n}ez, \{Carlos C.\} and Correa, \{Pablo Sebasti{\'a}n\} and Irene Cristofori and Wilson Cyrus-Lai and Guillermo Delgado-Garcia and Eliane Deschrijver and Carlos D{\'i}az and İlknur Dilekler and Vilius Dranseika and Dmitrii Dubrov and Kristina Eichel and Eda Ermagan-Caglar and Rebekah Gelp{\'i} and Gonz{\'a}lez, \{Rub{\'e}n Flores\} and Amanda Griffin",

note = "Funding Information: The COVIDiSTRESS consortium would like to acknowledge the additional contributions of numerous friends and collaborators in translating and sharing the COVIDiSTRESS survey, even if contributions were small or the person did not wish their name included as a member of the consortium. All funding information is listed in the supplementary material (Figure S1). We also want to address thanks to the IFB (Institut Fran{\c c}ais de Bioinformatique, https://www.france-bioinformatique.fr/) for hosting the server Shiny illustrating our results. This research was supported by JSPS KAKENHI Grants JP17H00875, JP18K12015, JP20H04581, JP20K14222, Czech Science Foundation GC19-09265J, Consejo Nacional de Ciencia y Tecnologia (Conacyt), Full National Scholarship - MSc degree (CVU: 613905), Research Foundation Flanders (FWO) postdoctoral fellowship, and The HSE University Basic Research Program. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: {\textcopyright} 2021, The Author(s).",

year = "2021",

month = jan,

day = "4",

doi = "10.1038/s41597-020-00784-9",

language = "English",

volume = "8",

journal = "Scientific Data",

issn = "2052-4463",

publisher = "Nature Research",

number = "1",

}

TY - JOUR

T1 - COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

AU - COVIDiSTRESS Global Survey Consortium

AU - Yamada, Yuki

AU - Ćepulić, Dominik Borna

AU - Coll-Martín, Tao

AU - Debove, Stéphane

AU - Gautreau, Guillaume

AU - Han, Hyemin

AU - Rasmussen, Jesper

AU - Tran, Thao P.

AU - Travaglino, Giovanni A.

AU - Blackburn, Angélique M.

AU - Boullu, Loïs

AU - Bujić, Mila

AU - Byrne, Grace

AU - Caniëls, Marjolein C.J.

AU - Flis, Ivan

AU - Kowal, Marta

AU - Rachev, Nikolay R.

AU - Reynoso-Alcántara, Vicenta

AU - Zerhouni, Oulmann

AU - Ahmed, Oli

AU - Amin, Rizwana

AU - Aquino, Sibele

AU - Areias, João Carlos

AU - Aruta, John Jamir Benzon R.

AU - Bamwesigye, Dastan

AU - Bavolar, Jozef

AU - Bender, Andrew R.

AU - Bhandari, Pratik

AU - Bircan, Tuba

AU - Cakal, Huseyin

AU - Capelos, Tereza

AU - Čeněk, Jiří

AU - Ch’ng, Brendan

AU - Chen, Fang Yu

AU - Chrona, Stavroula

AU - Contreras-Ibáñez, Carlos C.

AU - Correa, Pablo Sebastián

AU - Cristofori, Irene

AU - Cyrus-Lai, Wilson

AU - Delgado-Garcia, Guillermo

AU - Deschrijver, Eliane

AU - Díaz, Carlos

AU - Dilekler, İlknur

AU - Dranseika, Vilius

AU - Dubrov, Dmitrii

AU - Eichel, Kristina

AU - Ermagan-Caglar, Eda

AU - Gelpí, Rebekah

AU - González, Rubén Flores

AU - Griffin, Amanda

N1 - Funding Information: The COVIDiSTRESS consortium would like to acknowledge the additional contributions of numerous friends and collaborators in translating and sharing the COVIDiSTRESS survey, even if contributions were small or the person did not wish their name included as a member of the consortium. All funding information is listed in the supplementary material (Figure S1). We also want to address thanks to the IFB (Institut Français de Bioinformatique, https://www.france-bioinformatique.fr/) for hosting the server Shiny illustrating our results. This research was supported by JSPS KAKENHI Grants JP17H00875, JP18K12015, JP20H04581, JP20K14222, Czech Science Foundation GC19-09265J, Consejo Nacional de Ciencia y Tecnologia (Conacyt), Full National Scholarship - MSc degree (CVU: 613905), Research Foundation Flanders (FWO) postdoctoral fellowship, and The HSE University Basic Research Program. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Publisher Copyright: © 2021, The Author(s).

PY - 2021/1/4

Y1 - 2021/1/4

UR - https://www.scopus.com/pages/publications/85098661855

U2 - 10.1038/s41597-020-00784-9

DO - 10.1038/s41597-020-00784-9

M3 - Article

C2 - 33398078

AN - SCOPUS:85098661855

SN - 2052-4463

VL - 8

JO - Scientific Data

JF - Scientific Data

IS - 1

M1 - 3

ER -

COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

UN SDGs

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