Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning
Journal
PNAS nexus
Journal Volume
1
Journal Issue
3
Date Issued
2022-07
Author(s)
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
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
Di Paolo, Roberto
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, Maria Soledad
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
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
Kubin, Emily
Gümren, Mert
Fenwick, Ali
Ertan, Arhan S
Bernstein, Michael J
Amara, Hanane
Van Bavel, Jay Joseph
Abstract
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.
Subjects
COVID-19; hygiene; policy support; public health measures; social distancing
Type
journal article