COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

 

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Autores: 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 León, Gabriel, Gallegos, Aranza, Perez, Miles, Abdelrahman, Mohamed, Ahern, Elayne, Ahmad Yar, Ahmad Wali, 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, Aldemir, Ilknur Dilekler, 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 Yadira, Palacios Haugestad, Christian Andres, 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 Galvis, 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, Sánchez, 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 Wang, Austin Horng En, Williams, Alphonsus, Wu, Charles, Yamada, Yuki, Yaneva, Teodora, Yañez, Nicolás, Yeh, Yao Yuan, Zoletic, Emina
Formato: artículo de datos
Fecha de Publicación:2022
Descripción: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.
País:Kérwá
Institución:Universidad de Costa Rica
Repositorio:Kérwá
Lenguaje:Inglés
OAI Identifier:oai:kerwa.ucr.ac.cr:10669/87826
Acceso en línea:https://www.nature.com/articles/s41597-022-01383-6
https://hdl.handle.net/10669/87826
Palabra clave:Demographics
SOCIAL STATUS
IDENTITY
Perceived stress
Loneliness
Stressors
Support
Compliance
SOCIAL NORMS
Vaccine attitude
Vaccine willingness
Trust
COPING STRATEGY
Conspirational thinking
Anti-expert sentiment
Scale (AESS)
Moral foundations
Emotional regulation