Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning
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...
- Autores:
-
Pavlovic, 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
Santamaria Garcia, Hernando
Yucel, Meltem
Ibanez, Agustín
Rathje, Steve
Wetter, Erik
Stanojevic, 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.
Benzon Aruta, John Jamir
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
Bang Petersen, Michael
Puthillam, Arathy
Rothmund, Tobias
Schmid, Petra C.
Stadelmann, David
Stoica, Augustin
Stoyanov, Drozdstoy
Stoyanova, Kristina
Tewari, Shruti
Todosijevic, Bojan
Torgler, Benno
Tsakiris, Manos
Tung, Hans H.
Umbreș, Radu Gabriel
Vanags, Edmunds
Vlasceanu, Madalina
Vonasch, Andrew J.
Zhang, Yucheng
Abad, Mohcine
Adler, Eli
Alaoui Mdarhri, Hamza
Antazo, Benedict
Ceren Ay, F.
El Hady Ba, Mouhamadou
Barbosa, Sergio
Bastian, Brock
Berg, Anton
Białek, Michał
Bilancini, Ennio
Bogatyreva, Natalia
Boncinelli, Leonardo
Booth, Jonathan E.
Borau, Sylvie
Buchel, Ondrej
Ferreira de Carvalho, Chrissie
Celadin, Tatiana
Cerami, Chiara
Nath Chalise, Hom
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.
Hossain Farhana, Hapsa
Farkhari, Fahima
Fidanovski, Kristijan
Flew, Terry
Fraser, Shona
Boadi Frempong, Raymond
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.
Oldemburgo de Mello, Victoria
Palacios-Galvez, Maria Soledad
Palomäki, Jussi
Pan, Yafeng
Papp, Zsófia
Pärnamets, Philip
Paruzel-Czachura, Mariola
Perander, Silva
Pitman, Michael
Raza, Ali
Gaudencio Rêgo, Gabriel
Robertson, Claire
Rodríguez-Pascual, Iván
Saikkonen, Teemu
Salvador-Ginez, Octavio
Sampaio, Waldir M.
Chiara Santi, Gaia
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.
Sefa Uysal, Mete
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
Moreda Laguna, Oscar
Kubin, Emily
Gümren, Mert
Fenwick, Ali
Ertan, Arhan S.
Bernstein, Michael J.
Amara, Hanane
Van Bavel, Jay Joseph
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2022
- Institución:
- Pontificia Universidad Javeriana
- Repositorio:
- Repositorio Universidad Javeriana
- Idioma:
- N/A
- OAI Identifier:
- oai:repository.javeriana.edu.co:10554/63639
- Acceso en línea:
- https://academic.oup.com/pnasnexus/article/1/3/pgac093/6631580
http://hdl.handle.net/10554/63639
https://doi.org/10.1093/pnasnexus/pgac093
- Palabra clave:
- COVID-19
Social distancing
Hygiene
Policy support
Public health measures
- Rights
- License
- Atribución-NoComercial 4.0 Internacional
id |
JAVERIANA2_4f6621791f97ef6dd2b047c2a2d48702 |
---|---|
oai_identifier_str |
oai:repository.javeriana.edu.co:10554/63639 |
network_acronym_str |
JAVERIANA2 |
network_name_str |
Repositorio Universidad Javeriana |
repository_id_str |
|
dc.title.spa.fl_str_mv |
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning |
title |
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning |
spellingShingle |
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning COVID-19 Social distancing Hygiene Policy support Public health measures |
title_short |
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning |
title_full |
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning |
title_fullStr |
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning |
title_full_unstemmed |
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning |
title_sort |
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning |
dc.creator.fl_str_mv |
Pavlovic, 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 Santamaria Garcia, Hernando Yucel, Meltem Ibanez, Agustín Rathje, Steve Wetter, Erik Stanojevic, 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. Benzon Aruta, John Jamir 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 Bang Petersen, Michael Puthillam, Arathy Rothmund, Tobias Schmid, Petra C. Stadelmann, David Stoica, Augustin Stoyanov, Drozdstoy Stoyanova, Kristina Tewari, Shruti Todosijevic, Bojan Torgler, Benno Tsakiris, Manos Tung, Hans H. Umbreș, Radu Gabriel Vanags, Edmunds Vlasceanu, Madalina Vonasch, Andrew J. Zhang, Yucheng Abad, Mohcine Adler, Eli Alaoui Mdarhri, Hamza Antazo, Benedict Ceren Ay, F. El Hady Ba, Mouhamadou Barbosa, Sergio Bastian, Brock Berg, Anton Białek, Michał Bilancini, Ennio Bogatyreva, Natalia Boncinelli, Leonardo Booth, Jonathan E. Borau, Sylvie Buchel, Ondrej Ferreira de Carvalho, Chrissie Celadin, Tatiana Cerami, Chiara Nath Chalise, Hom 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. Hossain Farhana, Hapsa Farkhari, Fahima Fidanovski, Kristijan Flew, Terry Fraser, Shona Boadi Frempong, Raymond 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. Oldemburgo de Mello, Victoria Palacios-Galvez, Maria Soledad Palomäki, Jussi Pan, Yafeng Papp, Zsófia Pärnamets, Philip Paruzel-Czachura, Mariola Perander, Silva Pitman, Michael Raza, Ali Gaudencio Rêgo, Gabriel Robertson, Claire Rodríguez-Pascual, Iván Saikkonen, Teemu Salvador-Ginez, Octavio Sampaio, Waldir M. Chiara Santi, Gaia 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. Sefa Uysal, Mete 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 Moreda Laguna, Oscar Kubin, Emily Gümren, Mert Fenwick, Ali Ertan, Arhan S. Bernstein, Michael J. Amara, Hanane Van Bavel, Jay Joseph |
dc.contributor.author.none.fl_str_mv |
Pavlovic, 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 Santamaria Garcia, Hernando Yucel, Meltem Ibanez, Agustín Rathje, Steve Wetter, Erik Stanojevic, 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. Benzon Aruta, John Jamir 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 Bang Petersen, Michael Puthillam, Arathy Rothmund, Tobias Schmid, Petra C. Stadelmann, David Stoica, Augustin Stoyanov, Drozdstoy Stoyanova, Kristina Tewari, Shruti Todosijevic, Bojan Torgler, Benno Tsakiris, Manos Tung, Hans H. Umbreș, Radu Gabriel Vanags, Edmunds Vlasceanu, Madalina Vonasch, Andrew J. Zhang, Yucheng Abad, Mohcine Adler, Eli Alaoui Mdarhri, Hamza Antazo, Benedict Ceren Ay, F. El Hady Ba, Mouhamadou Barbosa, Sergio Bastian, Brock Berg, Anton Białek, Michał Bilancini, Ennio Bogatyreva, Natalia Boncinelli, Leonardo Booth, Jonathan E. Borau, Sylvie Buchel, Ondrej Ferreira de Carvalho, Chrissie Celadin, Tatiana Cerami, Chiara Nath Chalise, Hom 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. Hossain Farhana, Hapsa Farkhari, Fahima Fidanovski, Kristijan Flew, Terry Fraser, Shona Boadi Frempong, Raymond 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. Oldemburgo de Mello, Victoria Palacios-Galvez, Maria Soledad Palomäki, Jussi Pan, Yafeng Papp, Zsófia Pärnamets, Philip Paruzel-Czachura, Mariola Perander, Silva Pitman, Michael Raza, Ali Gaudencio Rêgo, Gabriel Robertson, Claire Rodríguez-Pascual, Iván Saikkonen, Teemu Salvador-Ginez, Octavio Sampaio, Waldir M. Chiara Santi, Gaia 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. Sefa Uysal, Mete 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 Moreda Laguna, Oscar Kubin, Emily Gümren, Mert Fenwick, Ali Ertan, Arhan S. Bernstein, Michael J. Amara, Hanane Van Bavel, Jay Joseph |
dc.contributor.corporatename.spa.fl_str_mv |
Pontificia Universidad Javeriana. Facultad de Medicina. Departamento de Psiquiatría y Salud Mental |
dc.contributor.javerianateacher.none.fl_str_mv |
Santamaria Garcia, Hernando |
dc.subject.keyword.spa.fl_str_mv |
COVID-19 Social distancing Hygiene Policy support Public health measures |
topic |
COVID-19 Social distancing Hygiene Policy support Public health measures |
description |
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. |
publishDate |
2022 |
dc.date.created.none.fl_str_mv |
2022-07-05 |
dc.date.accessioned.none.fl_str_mv |
2023-03-08T20:13:44Z |
dc.date.available.none.fl_str_mv |
2023-03-08T20:13:44Z |
dc.type.local.spa.fl_str_mv |
Artículo de revista |
dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
format |
http://purl.org/coar/resource_type/c_2df8fbb1 |
dc.identifier.spa.fl_str_mv |
https://academic.oup.com/pnasnexus/article/1/3/pgac093/6631580 |
dc.identifier.issn.spa.fl_str_mv |
2752-6542 |
dc.identifier.uri.none.fl_str_mv |
http://hdl.handle.net/10554/63639 |
dc.identifier.doi.spa.fl_str_mv |
https://doi.org/10.1093/pnasnexus/pgac093 |
dc.identifier.instname.spa.fl_str_mv |
instname:Pontificia Universidad Javeriana |
dc.identifier.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional - Pontificia Universidad Javeriana |
dc.identifier.repourl.spa.fl_str_mv |
repourl:https://repository.javeriana.edu.co |
url |
https://academic.oup.com/pnasnexus/article/1/3/pgac093/6631580 http://hdl.handle.net/10554/63639 https://doi.org/10.1093/pnasnexus/pgac093 |
identifier_str_mv |
2752-6542 instname:Pontificia Universidad Javeriana reponame:Repositorio Institucional - Pontificia Universidad Javeriana repourl:https://repository.javeriana.edu.co |
dc.language.iso.spa.fl_str_mv |
N/A |
language |
N/A |
dc.relation.citationstartpage.spa.fl_str_mv |
1 |
dc.relation.citationendpage.spa.fl_str_mv |
15 |
dc.relation.ispartofjournal.spa.fl_str_mv |
PNAS nexus |
dc.relation.citationvolume.spa.fl_str_mv |
1 |
dc.relation.citationissue.spa.fl_str_mv |
3 |
dc.rights.licence.*.fl_str_mv |
Atribución-NoComercial 4.0 Internacional |
dc.rights.uri.*.fl_str_mv |
http://creativecommons.org/licenses/by-nc/4.0/ |
dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
rights_invalid_str_mv |
Atribución-NoComercial 4.0 Internacional http://creativecommons.org/licenses/by-nc/4.0/ http://purl.org/coar/access_right/c_abf2 |
dc.format.spa.fl_str_mv |
PDF |
dc.format.mimetype.spa.fl_str_mv |
application/pdf |
dc.coverage.temporal.none.fl_str_mv |
2020 |
institution |
Pontificia Universidad Javeriana |
bitstream.url.fl_str_mv |
http://repository.javeriana.edu.co/bitstream/10554/63639/1/Predicting%20attitudinal%20and%20behavioral%20responses%20to%20COVID-19%20pandemic%20using%20machine%20learning.pdf http://repository.javeriana.edu.co/bitstream/10554/63639/2/license.txt http://repository.javeriana.edu.co/bitstream/10554/63639/3/Predicting%20attitudinal%20and%20behavioral%20responses%20to%20COVID-19%20pandemic%20using%20machine%20learning.pdf.jpg |
bitstream.checksum.fl_str_mv |
0cef99ef1d985a3fd04a6a0202a1a302 2070d280cc89439d983d9eee1b17df53 6a6cafb6235392a80f4e12791ec8c48d |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositorio Institucional - Pontificia Universidad Javeriana |
repository.mail.fl_str_mv |
repositorio@javeriana.edu.co |
_version_ |
1814337602161999872 |
spelling |
Atribución-NoComercial 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc/4.0/http://purl.org/coar/access_right/c_abf2Pavlovic, TomislavAzevedo, FlavioDe, KoustavRiaño-Moreno, Julián C.Maglić, MarinaGkinopoulos, TheofilosDonnelly-Kehoe, Patricio AndreasPayán-Gómez, CésarHuang, GuanxiongKantorowicz, JaroslawBirtel, Michèle D.Schönegger, PhilippCapraro, ValerioSantamaria Garcia, HernandoYucel, MeltemIbanez, AgustínRathje, SteveWetter, ErikStanojevic, Draganvan Prooijen, Jan-WillemHesse, EugeniaElbaek, Christian T.Franc, RenataPavlović, ZoranMitkidis, PanagiotisCichocka, AleksandraGelfand, MicheleAlfano, MarkRoss, Robert M.Sjåstad, HallgeirNezlek, John B.Cislak, AleksandraLockwood, PatriciaAbts, KoenAgadullina, ElenaAmodio, David M.Apps, Matthew A. J.Benzon Aruta, John JamirBesharati, SahbaBor, AlexanderChoma, BeckyCunningham, WilliamEjaz, WaqasFarmer, HarryFindor, AndrejGjoneska, BiljanaGualda, EstrellaHuynh, Toan L. D.Imran, Mostak AhamedIsraelashvili, JacobKantorowicz-Reznichenko, ElenaKrouwel, AndréKutiyski, YordanLaakasuo, MichaelLamm, ClausLevy, JonathanLeygue, CarolineLin, Ming-JenMansoor, Mohammad SabbirMarie, AntoineMayiwar, LewendMazepus, HonorataMcHugh, CillianOlsson, AndreasOtterbring, TobiasPacker, DominicPalomäki, JussiPerry, AnatBang Petersen, MichaelPuthillam, ArathyRothmund, TobiasSchmid, Petra C.Stadelmann, DavidStoica, AugustinStoyanov, DrozdstoyStoyanova, KristinaTewari, ShrutiTodosijevic, BojanTorgler, BennoTsakiris, ManosTung, Hans H.Umbreș, Radu GabrielVanags, EdmundsVlasceanu, MadalinaVonasch, Andrew J.Zhang, YuchengAbad, MohcineAdler, EliAlaoui Mdarhri, HamzaAntazo, BenedictCeren Ay, F.El Hady Ba, MouhamadouBarbosa, SergioBastian, BrockBerg, AntonBiałek, MichałBilancini, EnnioBogatyreva, NataliaBoncinelli, LeonardoBooth, Jonathan E.Borau, SylvieBuchel, OndrejFerreira de Carvalho, ChrissieCeladin, TatianaCerami, ChiaraNath Chalise, HomCheng, XiaojunCian, LucaCockcroft, KateConway, JaneCórdoba-Delgado, Mateo A.Crespi, ChiaraCrouzevialle, MarieCutler, JoCypryańska, MarzenaDabrowska, JustynaDavis, Victoria H.Minda, John PaulDayley, Pamala N.Delouvée, SylvainDenkovski, OgnjanDezecache, GuillaumeDhaliwal, Nathan A.Diato, AlelieDi Paolo, RobertoDulleck, UweEkmanis, JānisEtienne, Tom W.Hossain Farhana, HapsaFarkhari, FahimaFidanovski, KristijanFlew, TerryFraser, ShonaBoadi Frempong, RaymondFugelsang, JonathanGale, JessicaGarcía-Navarro, E. BegoñaGarladinne, PrasadGray, KurtGriffin, Siobhán M.Gronfeldt, BjarkiGruber, JuneHalperin, EranHerzon, VoloHruška, MatejHudecek, Matthias F. C.Isler, OzanJangard, SimonJørgensen, FrederikKeudel, OleksandraKoppel, LinaKoverola, MikaKunnari, AntonLeota, JoshLermer, EvaLi, ChunyunLongoni, ChiaraMcCashin, DarraghMikloušić, IgorMolina-Paredes, JulianaMonroy-Fonseca, CésarMorales-Marente, ElenaMoreau, DavidMuda, RafałMyer, AnnalisaNash, KyleNitschke, Jonas P.Nurse, Matthew S.Oldemburgo de Mello, VictoriaPalacios-Galvez, Maria SoledadPalomäki, JussiPan, YafengPapp, ZsófiaPärnamets, PhilipParuzel-Czachura, MariolaPerander, SilvaPitman, MichaelRaza, AliGaudencio Rêgo, GabrielRobertson, ClaireRodríguez-Pascual, IvánSaikkonen, TeemuSalvador-Ginez, OctavioSampaio, Waldir M.Chiara Santi, GaiaSchultner, DavidSchutte, EnidScott, AndySkali, AhmedStefaniak, AnnaSternisko, AnniStrickland, BrentThomas, Jeffrey P.Tinghög, GustavTraast, Iris J.Tucciarelli, RaffaeleTyrala, MichaelUngson, Nick D.Sefa Uysal, MeteVan Rooy, DirkVästfjäll, DanielVieira, Joana B.von Sikorski, ChristianWalker, Alexander C.Watermeyer, JenniferWillardt, RobinWohl, Michael J. A.Wójcik, Adrian DominikWu, KaidiYamada, YukiYilmaz, OnurcanYogeeswaran, KumarZiemer, Carolin-TheresaZwaan, Rolf A.Boggio, Paulo SergioWhillans, AshleyVan Lange, Paul A. M.Prasad, RajibOnderco, MichalO’Madagain, CathalNesh-Nash, TarikMoreda Laguna, OscarKubin, EmilyGümren, MertFenwick, AliErtan, Arhan S.Bernstein, Michael J.Amara, HananeVan Bavel, Jay JosephPontificia Universidad Javeriana. Facultad de Medicina. Departamento de Psiquiatría y Salud MentalSantamaria Garcia, Hernando20202023-03-08T20:13:44Z2023-03-08T20:13:44Z2022-07-05https://academic.oup.com/pnasnexus/article/1/3/pgac093/66315802752-6542http://hdl.handle.net/10554/63639https://doi.org/10.1093/pnasnexus/pgac093instname:Pontificia Universidad Javerianareponame:Repositorio Institucional - Pontificia Universidad Javerianarepourl:https://repository.javeriana.edu.coPDFapplication/pdfN/APredicting attitudinal and behavioral responses to COVID-19 pandemic using machine learningArtículo de revistahttp://purl.org/coar/resource_type/c_2df8fbb1COVID-19Social distancingHygienePolicy supportPublic health measuresAt 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.https://orcid.org/0000-0001-9422-3579https://orcid.org/0000-0002-2264-7388Revista Internacional - No indexadaNo115PNAS nexus13ORIGINALPredicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning.pdfPredicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning.pdfArtículoapplication/pdf8621779http://repository.javeriana.edu.co/bitstream/10554/63639/1/Predicting%20attitudinal%20and%20behavioral%20responses%20to%20COVID-19%20pandemic%20using%20machine%20learning.pdf0cef99ef1d985a3fd04a6a0202a1a302MD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-82603http://repository.javeriana.edu.co/bitstream/10554/63639/2/license.txt2070d280cc89439d983d9eee1b17df53MD52open accessTHUMBNAILPredicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning.pdf.jpgPredicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning.pdf.jpgIM Thumbnailimage/jpeg18518http://repository.javeriana.edu.co/bitstream/10554/63639/3/Predicting%20attitudinal%20and%20behavioral%20responses%20to%20COVID-19%20pandemic%20using%20machine%20learning.pdf.jpg6a6cafb6235392a80f4e12791ec8c48dMD53open access10554/63639oai:repository.javeriana.edu.co:10554/636392023-03-09 03:00:42.53Repositorio Institucional - Pontificia Universidad Javerianarepositorio@javeriana.edu.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 |