Pregled bibliografske jedinice broj: 1214135
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning // PNAS Nexus, 1 (2022), 3; 1-15 doi:10.1093/pnasnexus/pgac093 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1214135 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Predicting attitudinal and behavioral responses to
COVID-19 pandemic using machine learning
Autori
Pavlović, Tomislav ; Azevedo, Flavio ; De, Koustav ; Riaño-Moreno, Julián C ; Maglić, Marina ; Gkinopoulos, Theofilos ; Donnelly-Kehoe, Patricio Andreas ; Payán-Gómez, César ; Huang, Guanxiong ; Kantorowicz, Jaroslaw ; Birtel, Michèle D ; Schönegger, Philipp ; Capraro, Valerio ; Santamaría-García, Hernando ; Yucel, Meltem ; Ibanez, Agustin ; Rathje, Steve ; Wetter, Erik ; Stanojević, Dragan ; van Prooijen, Jan-Willem ; Hesse, Eugenia ; Elbaek, Christian T ; Franc, Renata ; Pavlović, Zoran ; Mitkidis, Panagiotis ; Cichocka, Aleksandra ; Gelfand, Michele ; Alfano, Mark ; Ross, Robert M ; Sjåstad, Hallgeir ; Nezlek, John B ; Cislak, Aleksandra ; Lockwood, Patricia ; Abts, Koen ; Agadullina, Elena ; Amodio, David M ; Apps, Matthew A J ; Aruta, John Jamir Benzon ; Besharati, Sahba ; Bor, Alexander ; Choma, Becky ; Cunningham, William ; Ejaz, Waqas ; Farmer, Harry ; Findor, Andrej ; Gjoneska, Biljana ; Gualda, Estrella ; Huynh, Toan L D ; Imran, Mostak Ahamed ; Israelashvili, Jacob ; Kantorowicz-Reznichenko, Elena ; Krouwel, André ; Kutiyski, Yordan ; Laakasuo, Michael ; Lamm, Claus ; Levy, Jonathan ; Leygue, Caroline ; Lin, Ming- Jen ; Mansoor, Mohammad Sabbir ; Marie, Antoine ; Mayiwar, Lewend ; Mazepus, Honorata ; McHugh, Cillian ; Olsson, Andreas ; Otterbring, Tobias ; Packer, Dominic ; Palomäki, Jussi ; Perry, Anat ; Petersen, Michael Bang ; Puthillam, Arathy ; Rothmund, Tobias ; Schmid, Petra C ; Stadelmann, David ; Stoica, Augustin ; Stoyanov, Drozdstoy ; Stoyanova, Kristina ; Tewari, Shruti ; Todosijević, Bojan ; Torgler, Benno ; Tsakiris, Manos ; Tung, Hans H ; Umbreș, Radu Gabriel ; Vanags, Edmunds ; Vlasceanu, Madalina ; Vonasch, Andrew J ; Zhang, Yucheng ; Abad, Mohcine ; Adler, Eli ; Mdarhri, Hamza Alaoui ; Antazo, Benedict ; Ay, F Ceren ; Ba, Mouhamadou El Hady ; Barbosa, Sergio ; Bastian, Brock ; Berg, Anton ; Białek, Michał ; Bilancini, Ennio ; Bogatyreva, Natalia ; Boncinelli, Leonardo ; Booth, Jonathan E ; Borau, Sylvie ; Buchel, Ondrej ; de Carvalho, Chrissie Ferreira ; Celadin, Tatiana ; Cerami, Chiara ; Chalise, Hom Nath ; Cheng, Xiaojun ; Cian, Luca ; Cockcroft, Kate ; Conway, Jane ; Córdoba-Delgado, Mateo A ; Crespi, Chiara ; Crouzevialle, Marie ; Cutler, Jo ; Cypryańska, Marzena ; Dabrowska, Justyna ; Davis, Victoria H ; Minda, John Paul ; Dayley, Pamala N ; Delouvée, Sylvain ; Denkovski, Ognjan ; Dezecache, Guillaume ; Dhaliwal, Nathan A ; Diato, Alelie ; Paolo, Roberto Di ; Dulleck, Uwe ; Ekmanis, Jānis ; Etienne, Tom W ; Farhana, Hapsa Hossain ; Farkhari, Fahima ; Fidanovski, Kristijan ; Flew, Terry ; Fraser, Shona ; Frempong, Raymond Boadi ; Fugelsang, Jonathan ; Gale, Jessica ; García-Navarro, E Begoña ; Garladinne, Prasad ; Gray, Kurt ; Griffin, Siobhán M ; Gronfeldt, Bjarki ; Gruber, June ; Halperin, Eran ; Herzon, Volo ; Hruška, Matej ; Hudecek, Matthias F C ; Isler, Ozan ; Jangard, Simon ; Jørgensen, Frederik ; Keudel, Oleksandra ; Koppel, Lina ; Koverola, Mika ; Kunnari, Anton ; Leota, Josh ; Lermer, Eva ; Li, Chunyun ; Longoni, Chiara ; McCashin, Darragh ; Mikloušić, Igor ; Molina-Paredes, Juliana ; Monroy-Fonseca, César ; Morales-Marente, Elena ; Moreau, David ; Muda, Rafał ; Myer, Annalisa ; Nash, Kyle ; Nitschke, Jonas P ; Nurse, Matthew S ; de Mello, Victoria Oldemburgo ; Palacios-Galvez, M Soledad ; Palomäki, Jussi ; Pan, Yafeng ; Papp, Zsófia ; Pärnamets, Philip ; Paruzel-Czachura, Mariola ; Perander, Silva ; Pitman, Michael ; Raza, Ali ; Rêgo, Gabriel Gaudencio ; Robertson, Claire ; Rodríguez-Pascual, Iván ; Saikkonen, Teemu ; Salvador-Ginez, Octavio ; Sampaio, Waldir M ; Santi, Gaia Chiara ; Schultner, David ; Schutte, Enid ; Scott, Andy ; Skali, Ahmed ; Stefaniak, Anna ; Sternisko, Anni ; Strickland, Brent ; Strickland, Brent ; Thomas, Jeffrey P ; Tinghög, Gustav ; Traast, Iris J ; Tucciarelli, Raffaele ; Tyrala, Michael ; Ungson, Nick D ; Uysal, Mete Sefa ; Van Rooy, Dirk ; Västfjäll, Daniel ; Vieira, Joana B ; von Sikorski, Christian ; Walker, Alexander C ; Watermeyer, Jennifer ; Willardt, Robin ; Wohl, Michael J A ; Wójcik, Adrian Dominik ; Wu, Kaidi ; Yamada, Yuki ; Yilmaz, Onurcan ; Yogeeswaran, Kumar ; Ziemer, Carolin-Theresa ; Zwaan, Rolf A ; Boggio, Paulo Sergio ; Whillans, Ashley ; Van Lange, Paul A M ; Prasad, Rajib ; Onderco, Michal ; O'Madagain, Cathal ; Nesh-Nash, Tarik ; Laguna, Oscar Moreda ; Kutiyski, Yordan ; Kubin, Emily ; Gümren, Mert ; Fenwick, Ali ; Ertan, Arhan S ; Bernstein, Michael J ; Amara, Hanane ; Van Bavel, Jay Joseph
Kolaboracija
International Collaboration on Social and Moral Psychology of COVID-19
Izvornik
PNAS Nexus (2752-6542) 1
(2022), 3;
1-15
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
COVID-19, social distancing, hygiene, policy support, public health measures
Sažetak
At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51, 404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution—individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic.
Izvorni jezik
Engleski
Znanstvena područja
Sociologija, Psihologija, Interdisciplinarne društvene znanosti
POVEZANOST RADA
Ustanove:
Institut društvenih znanosti Ivo Pilar, Zagreb
Profili:
Igor Mikloušić
(autor)
Tomislav Pavlović
(autor)
Renata Franc
(autor)
Marina Maglić
(autor)