COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic
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Published:2022-06-21
Issue:1
Volume:9
Page:
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ISSN:2052-4463
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Container-title:Scientific Data
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language:en
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Short-container-title:Sci Data
Author:
Blackburn Angélique M.ORCID, Vestergren Sara, Blackburn Angélique M., Vestergren Sara, Tran Thao P.ORCID, Stöckli Sabrina, Griffin Siobhán M.ORCID, Ntontis Evangelos, Jeftic AlmaORCID, Chrona Stavroula, Ikizer GözdeORCID, Han HyeminORCID, Milfont Taciano L., Parry Douglas, Byrne Grace, Gómez-López MercedesORCID, Acosta Alida, Kowal MartaORCID, De Leon Gabriel, Gallegos Aranza, Perez Miles, Abdelrahman MohamedORCID, Ahern ElayneORCID, Yar Ahmad Wali Ahmad, Ahmed Oli, Alami Nael H., Amin RizwanaORCID, Andersen Lykke E., Araújo Bráulio Oliveira, Asongu Norah Aziamin, Bartsch Fabian, Bavoľár JozefORCID, Bhatta Khem Raj, Bircan TubaORCID, Bita Shalani, Bombuwala Hasitha, Brik TymofiiORCID, Cakal Huseyin, Caniëls MarjoleinORCID, Carballo Marcela, Carvalho Nathalia M.ORCID, Cely Laura, Chang Sophie, Chayinska Maria, Chen Fang-Yu, Ch’ng Brendan, Chukwuorji JohnBosco Chika, Costa Ana Raquel, Dalizu Vidijah Ligalaba, Deschrijver Eliane, Dilekler Aldemir İlknurORCID, Doherty Anne M., Doller RianneORCID, Dubrov Dmitrii, Elegbede Salem, Elizalde JeffersonORCID, Ermagan-Caglar EdaORCID, Fernández-Morales ReginaORCID, García-Castro Juan DiegoORCID, Gelpí Rebekah, Ghafori Shagofah, Goldberg Ximena, González-Uribe Catalina, Alpízar-Rojas Harlen, Haugestad Christian Andres Palacios, Higuera Diana, Hoorelbeke Kristof, Hristova Evgeniya, Hubená Barbora, Huq Hamidul, Ihaya Keiko, Jayathilake Gosith, Jen Enyi, Jinadasa AmaaniORCID, Joksimovic Jelena, Kačmár PavolORCID, Kadreva Veselina, Kalinova KalinaORCID, Kandeel Huda Anter Abdallah, Kellezi Blerina, Khan Sammyh, Kontogianni Maria, Koszałkowska KarolinaORCID, Hanusz Krzysztof, Lacko DavidORCID, Landa-Blanco Miguel, Lee Yookyung, Lieberoth AndreasORCID, Lins SamuelORCID, Liutsko Liudmila, Londero-Santos Amanda, Mauritsen Anne LundahlORCID, Maegli María Andrée, Magidie Patience, Maharjan Roji, Makaveeva Tsvetelina, Makhubela Malose, Malagón María Gálvis, Malykh Sergey, Mamede SaloméORCID, Mandillah Samuel, Mansoor Mohammad Sabbir, Mari SilviaORCID, Marín-López Inmaculada, Marot Tiago A., Martínez Sandra, Mauka Juma, Moss Sigrun Marie, Mushtaq Asia, Musliu Arian, Mususa Daniel, Najmussaqib Arooj, Nasheeda Aishath, Nasr RamonaORCID, Machado Natalia Niño, Natividade Jean CarlosORCID, Ngowi Honest Prosper, Nyarangi Carolyne, Ogunbode Charles, Onyutha CharlesORCID, Padmakumar K.ORCID, Paniagua Walter, Pena Maria CaridadORCID, Pírko Martin, Portela MaydaORCID, Pouretemad Hamidreza, Rachev NikolayORCID, Ratodi Muhamad, Reifler Jason, Sadeghi Saeid, Sahayanathan Harishanth Samuel, Sanchez Eva, Sandbakken Ella MarieORCID, Sandesh Dhakal, Sanjesh Shrestha, Schrötter JanaORCID, Shanthakumar Sabarjah, Sikka PilleriinORCID, Slaveykova KonstantinaORCID, Studzinska AnnaORCID, Subandi Fadelia Deby, Subedi Namita, Sullivan Gavin Brent, Tag BenjaminORCID, Delphine Takem Ebangha Agbor, Tamayo-Agudelo WilliamORCID, Travaglino Giovanni A.ORCID, Tuominen JarnoORCID, Türk-Kurtça Tuğba, Vakai Matutu, Volkodav TatianaORCID, Wang Austin Horng-En Wang, Williams Alphonsus, Wu Charles, Yamada YukiORCID, Yaneva Teodora, Yañez Nicolás, Yeh Yao-YuanORCID, Zoletic Emina,
Abstract
AbstractDuring 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.
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability
Reference45 articles.
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