1. COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic
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Blackburn, Angélique M., Vestergren, Sara, Tran, Thao P., Stöckli, Sabrina, Griffin, Siobhán M., Ntontis, Evangelos, Jeftic, Alma, Chrona, Stavroula, Ikizer, Gözde, Han, Hyemin, Milfont, Taciano L., Parry, Douglas, Byrne, Grace, Gómez-López, Mercedes, Acosta, Alida, Kowal, Marta, De Leon, Gabriel, Gallegos, Aranza, Perez, Miles, Abdelrahman, Mohamed, Ahern, Elayne, Yar, Ahmad Wali Ahmad, Ahmed, Oli, Alami, Nael H., Amin, Rizwana, Andersen, Lykke E., Araújo, Bráulio Oliveira, Asongu, Norah Aziamin, Bartsch, Fabian, Bavoľár, Jozef, Bhatta, Khem Raj, Bircan, Tuba, Bita, Shalani, Bombuwala, Hasitha, Brik, Tymofii, Cakal, Huseyin, Caniëls, Marjolein, Carballo, Marcela, Carvalho, Nathalia M., 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, İlknur, Doherty, Anne M., Doller, Rianne, Dubrov, Dmitrii, Elegbede, Salem, Elizalde, Jefferson, Ermagan-Caglar, Eda, Fernández-Morales, Regina, García-Castro, Juan Diego, 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, Amaani, Joksimovic, Jelena, Kačmár, Pavol, Kadreva, Veselina, Kalinova, Kalina, Kandeel, Huda Anter Abdallah, Kellezi, Blerina, Khan, Sammyh, Kontogianni, Maria, Koszałkowska, Karolina, Krzysztof, Hanusz, Lacko, David, Landa-Blanco, Miguel, Lee, Yookyung, Lieberoth, Andreas, Lins, Samuel, Liutsko, Liudmila, Londero-Santos, Amanda, Mauritsen, Anne Lundahl, Maegli, María Andrée, Magidie, Patience, Maharjan, Roji, Makaveeva, Tsvetelina, Makhubela, Malose, Malagón, María Gálvis, Malykh, Sergey, Mamede, Salomé, Mandillah, Samuel, Mansoor, Mohammad Sabbir, Mari, Silvia, Marín-López, Inmaculada, Marot, Tiago A., Martínez, Sandra, Mauka, Juma, Moss, Sigrun Marie, Mushtaq, Asia, Musliu, Arian, Mususa, Daniel, Najmussaqib, Arooj, Nasheeda, Aishath, Nasr, Ramona, Machado, Natalia Niño, Natividade, Jean Carlos, Ngowi, Honest Prosper, Nyarangi, Carolyne, Ogunbode, Charles, Onyutha, Charles, Padmakumar, K., Paniagua, Walter, Pena, Maria Caridad, Pírko, Martin, Portela, Mayda, Pouretemad, Hamidreza, Rachev, Nikolay, Ratodi, Muhamad, Reifler, Jason, Sadeghi, Saeid, Sahayanathan, Harishanth Samuel, Sanchez, Eva, Sandbakken, Ella Marie, Sandesh, Dhakal, Sanjesh, Shrestha, Schrötter, Jana, Shanthakumar, Sabarjah, Sikka, Pilleriin, Slaveykova, Konstantina, Studzinska, Anna, Subandi, Fadelia Deby, Subedi, Namita, Sullivan, Gavin Brent, Tag, Benjamin, Delphine, Takem Ebangha Agbor, Tamayo-Agudelo, William, Travaglino, Giovanni A., Tuominen, Jarno, Türk-Kurtça, Tuğba, Vakai, Matutu, Volkodav, Tatiana, Wang, Austin Horng-En Wang, Williams, Alphonsus, Wu, Charles, Yamada, Yuki, Yaneva, Teodora, Yañez, Nicolás, Yeh, Yao-Yuan, Zoletic, Emina, Department of Organisation, RS-Research Line Learning (part of LIRS program), Bircan, Tuba, Faculty of Sciences and Bioengineering Sciences, Brussels Centre for Urban Studies, Sociology, Faculty of Economic and Social Sciences and Solvay Business School, Faculdade de Psicologia e de Ciências da Educação, Blackburn, A, Vestergren, S, Tran, T, Stockli, S, Griffin, S, Ntontis, E, Jeftic, A, Chrona, S, Ikizer, G, Han, H, Milfont, T, Parry, D, Byrne, G, Gomez-Lopez, M, Acosta, A, Kowal, M, De Leon, G, Gallegos, A, Perez, M, Abdelrahman, M, Ahern, E, Yar, A, Ahmed, O, Alami, N, Amin, R, Andersen, L, Araujo, B, Asongu, N, Bartsch, F, Bavolar, J, Bhatta, K, Bircan, T, Bita, S, Bombuwala, H, Brik, T, Cakal, H, Caniels, M, Carballo, M, Carvalho, N, Cely, L, Chang, S, Chayinska, M, Chen, F, Ch'Ng, B, Chukwuorji, J, Costa, A, Dalizu, V, Deschrijver, E, Dilekler Aldemir, I, Doherty, A, Doller, R, Dubrov, D, Elegbede, S, Elizalde, J, Ermagan-Caglar, E, Fernandez-Morales, R, Garcia-Castro, J, Gelpi, R, Ghafori, S, Goldberg, X, Gonzalez-Uribe, C, Alpizar-Rojas, H, Haugestad, C, Higuera, D, Hoorelbeke, K, Hristova, E, Hubena, B, Huq, H, Ihaya, K, Jayathilake, G, Jen, E, Jinadasa, A, Joksimovic, J, Kacmar, P, Kadreva, V, Kalinova, K, Kandeel, H, Kellezi, B, Khan, S, Kontogianni, M, Koszalkowska, K, Krzysztof, H, Lacko, D, Landa-Blanco, M, Lee, Y, Lieberoth, A, Lins, S, Liutsko, L, Londero-Santos, A, Mauritsen, A, Maegli, M, Magidie, P, Maharjan, R, Makaveeva, T, Makhubela, M, Malagon, M, Malykh, S, Mamede, S, Mandillah, S, Mansoor, M, Mari, S, Marin-Lopez, I, Marot, T, Martinez, S, Mauka, J, Moss, S, Mushtaq, A, Musliu, A, Mususa, D, Najmussaqib, A, Nasheeda, A, Nasr, R, Machado, N, Natividade, J, Ngowi, H, Nyarangi, C, Ogunbode, C, Onyutha, C, Padmakumar, K, Paniagua, W, Pena, M, Pirko, M, Portela, M, Pouretemad, H, Rachev, N, Ratodi, M, Reifler, J, Sadeghi, S, Sahayanathan, H, Sanchez, E, Sandbakken, E, Sandesh, D, Sanjesh, S, Schrotter, J, Shanthakumar, S, Sikka, P, Slaveykova, K, Studzinska, A, Subandi, F, Subedi, N, Sullivan, G, Tag, B, Delphine, T, Tamayo-Agudelo, W, Travaglino, G, Tuominen, J, Turk-Kurtca, T, Vakai, M, Volkodav, T, Wang, A, Williams, A, Wu, C, Yamada, Y, Yaneva, T, Yanez, N, Yeh, Y, and Zoletic, E
- Subjects
Statistics and Probability ,perceived stress ,300 Social sciences, sociology & anthropology ,compiance ,Social Sciences ,Library and Information Sciences ,compliance ,PANDEMIC ,Education ,stress ,cross-cultural ,well-being ,Naturvetenskap ,650 Management & public relations ,Samfund/samtid ,Psychology ,Humans ,vaccine willingness ,social norms ,Social Behavior ,resilience ,Pandemics ,SCALE ,Psykologi ,Pandemic ,Trivsel ,SARS-CoV-2 ,Statistics ,HUMAN ,COVID-19 ,health ,trust ,Public Health, Global Health, Social Medicine and Epidemiology ,vaccines ,Computer Science Applications ,Coronavirus ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Probability and Uncertainty ,Statistics, Probability and Uncertainty ,Natural Sciences ,GOVERNMENT ,Human ,Information Systems - Abstract
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. © 2022, The Author(s). U.S. Department of Education, ED: P031S190304; Texas A and M International University, TAMIU; National Research University Higher School of Economics, ВШЭ The COVIDiSTRESS Consortium would like to acknowledge the contributions of friends and collaborators in translating and sharing the COVIDiSTRESS survey, as well as the study participants. Data analysis was supported by Texas A&M International University (TAMIU) Research Grant, TAMIU Act on Ideas, and the TAMIU Advancing Research and Curriculum Initiative (TAMIU ARC) awarded by the US Department of Education Developing Hispanic-Serving Institutions Program (Award # P031S190304). Data collection by Dmitrii Dubrov was supported within the framework of the Basic Research Program at HSE University, RF.
- Published
- 2021
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