TY  - JOUR
AU  - Pavlović, Tomislav
AU  - Azevedo, Flavio
AU  - De, Koustav
AU  - Riaño-Moreno, Julián C.
AU  - Maglić, Marina
AU  - Gkinopoulos, Theofilos
AU  - Donnelly-Kehoe, Patricio Andreas
AU  - Payán-Gómez, César
AU  - Huang, Guanxiong
AU  - Kantorowicz, Jaroslaw
AU  - Birtel, Michèle D.
AU  - Schönegger, Philipp
AU  - Capraro, Valerio
AU  - Santamaría-García, Hernando
AU  - Yucel, Meltem
AU  - Ibanez, Agustin
AU  - Rathje, Steve
AU  - Wetter, Erik
AU  - Stanojević, Dragan
AU  - van Prooijen, Jan-Willem
AU  - Hesse, Eugenia
AU  - Elbaek, Christian T.
AU  - Franc, Renata
AU  - Pavlović, Zoran
AU  - Mitkidis, Panagiotis
AU  - Cichocka, Aleksandra
AU  - Gelfand, Michele J.
AU  - Alfano, Mark
AU  - Ross, Robert M.
AU  - Sjåstad, Hallgeir
AU  - Nezlek, John B.
AU  - Cislak, Aleksandra
AU  - Lockwood, Patricia L.
AU  - Abts, Koen
AU  - Agadullina, Elena
AU  - Amodio, David M.
AU  - Apps, Matthew A J
AU  - Aruta, John Jamir Benzon
AU  - Besharati, Sahba Nomvula
AU  - Bor, Alexander
AU  - Choma, Becky L.
AU  - Cunningham, William A.
AU  - Ejaz, Waqas
AU  - Farmer, Harry
AU  - Findor, Andrej
AU  - Gjoneska, Biljana
AU  - Gualda, Estrella
AU  - Huynh, Toan L D
AU  - Imran, Mostak Ahamed
AU  - Israelashvili, Jacob
AU  - Kantorowicz-Reznichenko, Elena
AU  - Krouwel, André
AU  - Kutiyski, Yordan
AU  - Laakasuo, Michael
AU  - Lamm, Claus
AU  - Levy, Jonathan
AU  - Leygue, Caroline
AU  - Lin, Ming-Jen
AU  - Mansoor, Mohammad Sabbir
AU  - Marie, Antoine
AU  - Mayiwar, Lewend
AU  - Mazepus, Honorata
AU  - McHugh, Cillian
AU  - Olsson, Andreas
AU  - Otterbring, Tobias
AU  - Packer, Dominic J.
AU  - Palomäki, Jussi
AU  - Perry, Anat
AU  - Petersen, Michael Bang
AU  - Puthillam, Arathy
AU  - Rothmund, Tobias
AU  - Schmid, Petra C.
AU  - Stadelmann, David
AU  - Stoica, Augustin
AU  - Stoyanov, Drozdstoy
AU  - Stoyanova, Kristina K.
AU  - Tewari, Shruti
AU  - Todosijević, Bojan
AU  - Torgler, Benno
AU  - Tsakiris, Manos
AU  - Tung, Hans H.
AU  - Umbreș, Radu Gabriel
AU  - Vanags, Edmunds
AU  - Vlasceanu, Madalina
AU  - Vonasch, Andrew J
AU  - Zhang, Yucheng
AU  - Abad, Mohcine
AU  - Adler, Eli
AU  - Mdarhri, Hamza Alaoui
AU  - Antazo, Benedict G.
AU  - Ay, F. Ceren
AU  - Ba, Mouhamadou El Hady
AU  - Barbosa, Sergio
AU  - Bastian, Brock
AU  - Berg, Anton
AU  - Białek, Michał
AU  - Bilancini, Ennio
AU  - Bogatyreva, Natalia
AU  - Boncinelli, Leonardo
AU  - Booth, Jonathan E.
AU  - Borau, Sylvie
AU  - Buchel, Ondrej
AU  - de Carvalho, Chrissie Ferreira
AU  - Celadin, Tatiana
AU  - Cerami, Chiara
AU  - Chalise, Hom Nath
AU  - Cheng, Xiaojun
AU  - Cian, Luca
AU  - Cockcroft, Kate
AU  - Conway, Jane
AU  - Córdoba-Delgado, Mateo A
AU  - Crespi, Chiara
AU  - Crouzevialle, Marie
AU  - Cutler, Jo
AU  - Cypryańska, Marzena
AU  - Dabrowska, Justyna
AU  - Davis, Victoria H.
AU  - Minda, John Paul
AU  - Dayley, Pamala N.
AU  - Delouvée, Sylvain
AU  - Denkovski, Ognjan
AU  - Dezecache, Guillaume
AU  - Dhaliwal, Nathan A.
AU  - Diato, Alelie B.
AU  - Di Paolo, Roberto
AU  - Dulleck, Uwe
AU  - Ekmanis, Jānis
AU  - Etienne, Tom W.
AU  - Farhana, Hapsa Hossain
AU  - Farkhari, Fahima
AU  - Fidanovski, Kristijan
AU  - Flew, Terry
AU  - Fraser, Shona
AU  - Frempong, Raymond Boadi
AU  - Fugelsang, Jonathan A.
AU  - Gale, Jessica
AU  - García-Navarro, E Begoña
AU  - Garladinne, Prasad
AU  - Gray, Kurt
AU  - Griffin, Siobhán M.
AU  - Gronfeldt, Bjarki
AU  - Gruber, June
AU  - Halperin, Eran
AU  - Herzon, Volo
AU  - Hruška, Matej
AU  - Hudecek, Matthias F. C.
AU  - Isler, Ozan
AU  - Jangard, Simon
AU  - Jørgensen, Frederik J.
AU  - Keudel, Oleksandra
AU  - Koppel, Lina
AU  - Koverola, Mika
AU  - Kunnari, Anton
AU  - Leota, Josh
AU  - Lermer, Eva
AU  - Li, Chunyun
AU  - Longoni, Chiara
AU  - McCashin, Darragh
AU  - Mikloušić, Igor
AU  - Molina-Paredes, Juliana
AU  - Monroy-Fonseca, César
AU  - Morales-Marente, Elena
AU  - Moreau, David
AU  - Muda, Rafał
AU  - Myer, Annalisa
AU  - Nash, Kyle
AU  - Nitschke, Jonas P.
AU  - Nurse, Matthew S.
AU  - de Mello, Victoria Oldemburgo
AU  - Palacios-Galvez, Maria Soledad
AU  - Pan, Yafeng
AU  - Papp, Zsófia
AU  - Pärnamets, Philip
AU  - Paruzel-Czachura, Mariola
AU  - Perander, Silva
AU  - Pitman, Michael Mark
AU  - Raza, Ali
AU  - Rêgo, Gabriel Gaudencio
AU  - Robertson, Claire E.
AU  - Rodríguez-Pascual, Iván
AU  - Saikkonen, Teemu
AU  - Salvador-Ginez, Octavio
AU  - Sampaio, Waldir M.
AU  - Santi, Gaia Chiara
AU  - Schultner, David T.
AU  - Schutte, Enid M.
AU  - Scott, Andy
AU  - Skali, Ahmed
AU  - Stefaniak, Anna
AU  - Sternisko, Anni
AU  - Strickland, Brent
AU  - Thomas, Jeffrey P.
AU  - Tinghög, Gustav
AU  - Traast, Iris J.
AU  - Tucciarelli, Raffaele
AU  - Tyrala, Michael
AU  - Ungson, Nick D.
AU  - Uysal, Mete Sefa
AU  - van Rooy, Dirk
AU  - Västfjäll, Daniel
AU  - Vieira, Joana B.
AU  - von Sikorski, Christian
AU  - Walker, Alexander C
AU  - Watermeyer, Jennifer
AU  - Willardt, Robin
AU  - Wohl, Michael J. A.
AU  - Wójcik, Adrian Dominik
AU  - Wu, Kaidi
AU  - Yamada, Yuki
AU  - Yilmaz, Onurcan
AU  - Yogeeswaran, Kumar
AU  - Ziemer, Carolin-Theresa
AU  - Zwaan, Rolf A.
AU  - Boggio, Paulo S.
AU  - Whillans, Ashley
AU  - Van Lange, Paul A. M.
AU  - Prasad, Rajib
AU  - Onderco, Michal
AU  - O’Madagain, Cathal
AU  - Nesh-Nash, Tarik
AU  - Laguna, Oscar Moreda
AU  - Kubin, Emily
AU  - Gümren, Mert
AU  - Fenwick, Ali
AU  - Ertan, Arhan S.
AU  - Bernstein, Michael J
AU  - Amara, Hanane
AU  - Van Bavel, Jay J.
PY  - 2022
UR  - http://reff.f.bg.ac.rs/handle/123456789/5159
AB  - 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
T2  - PNAS Nexus
T1  - Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning
EP  - 15
IS  - 3
SP  - 1
VL  - 1
DO  - 10.1093/pnasnexus/pgac093
ER  - 

@article{
author = "Pavlović, Tomislav and Azevedo, Flavio and De, Koustav and Riaño-Moreno, Julián C. and Maglić, Marina and Gkinopoulos, Theofilos and Donnelly-Kehoe, Patricio Andreas and Payán-Gómez, César and Huang, Guanxiong and Kantorowicz, Jaroslaw and Birtel, Michèle D. and Schönegger, Philipp and Capraro, Valerio and Santamaría-García, Hernando and Yucel, Meltem and Ibanez, Agustin and Rathje, Steve and Wetter, Erik and Stanojević, Dragan and van Prooijen, Jan-Willem and Hesse, Eugenia and Elbaek, Christian T. and Franc, Renata and Pavlović, Zoran and Mitkidis, Panagiotis and Cichocka, Aleksandra and Gelfand, Michele J. and Alfano, Mark and Ross, Robert M. and Sjåstad, Hallgeir and Nezlek, John B. and Cislak, Aleksandra and Lockwood, Patricia L. and Abts, Koen and Agadullina, Elena and Amodio, David M. and Apps, Matthew A J and Aruta, John Jamir Benzon and Besharati, Sahba Nomvula and Bor, Alexander and Choma, Becky L. and Cunningham, William A. and Ejaz, Waqas and Farmer, Harry and Findor, Andrej and Gjoneska, Biljana and Gualda, Estrella and Huynh, Toan L D and Imran, Mostak Ahamed and Israelashvili, Jacob and Kantorowicz-Reznichenko, Elena and Krouwel, André and Kutiyski, Yordan and Laakasuo, Michael and Lamm, Claus and Levy, Jonathan and Leygue, Caroline and Lin, Ming-Jen and Mansoor, Mohammad Sabbir and Marie, Antoine and Mayiwar, Lewend and Mazepus, Honorata and McHugh, Cillian and Olsson, Andreas and Otterbring, Tobias and Packer, Dominic J. and Palomäki, Jussi and Perry, Anat and Petersen, Michael Bang and Puthillam, Arathy and Rothmund, Tobias and Schmid, Petra C. and Stadelmann, David and Stoica, Augustin and Stoyanov, Drozdstoy and Stoyanova, Kristina K. and Tewari, Shruti and Todosijević, Bojan and Torgler, Benno and Tsakiris, Manos and Tung, Hans H. and Umbreș, Radu Gabriel and Vanags, Edmunds and Vlasceanu, Madalina and Vonasch, Andrew J and Zhang, Yucheng and Abad, Mohcine and Adler, Eli and Mdarhri, Hamza Alaoui and Antazo, Benedict G. and Ay, F. Ceren and Ba, Mouhamadou El Hady and Barbosa, Sergio and Bastian, Brock and Berg, Anton and Białek, Michał and Bilancini, Ennio and Bogatyreva, Natalia and Boncinelli, Leonardo and Booth, Jonathan E. and Borau, Sylvie and Buchel, Ondrej and de Carvalho, Chrissie Ferreira and Celadin, Tatiana and Cerami, Chiara and Chalise, Hom Nath and Cheng, Xiaojun and Cian, Luca and Cockcroft, Kate and Conway, Jane and Córdoba-Delgado, Mateo A and Crespi, Chiara and Crouzevialle, Marie and Cutler, Jo and Cypryańska, Marzena and Dabrowska, Justyna and Davis, Victoria H. and Minda, John Paul and Dayley, Pamala N. and Delouvée, Sylvain and Denkovski, Ognjan and Dezecache, Guillaume and Dhaliwal, Nathan A. and Diato, Alelie B. and Di Paolo, Roberto and Dulleck, Uwe and Ekmanis, Jānis and Etienne, Tom W. and Farhana, Hapsa Hossain and Farkhari, Fahima and Fidanovski, Kristijan and Flew, Terry and Fraser, Shona and Frempong, Raymond Boadi and Fugelsang, Jonathan A. and Gale, Jessica and García-Navarro, E Begoña and Garladinne, Prasad and Gray, Kurt and Griffin, Siobhán M. and Gronfeldt, Bjarki and Gruber, June and Halperin, Eran and Herzon, Volo and Hruška, Matej and Hudecek, Matthias F. C. and Isler, Ozan and Jangard, Simon and Jørgensen, Frederik J. and Keudel, Oleksandra and Koppel, Lina and Koverola, Mika and Kunnari, Anton and Leota, Josh and Lermer, Eva and Li, Chunyun and Longoni, Chiara and McCashin, Darragh and Mikloušić, Igor and Molina-Paredes, Juliana and Monroy-Fonseca, César and Morales-Marente, Elena and Moreau, David and Muda, Rafał and Myer, Annalisa and Nash, Kyle and Nitschke, Jonas P. and Nurse, Matthew S. and de Mello, Victoria Oldemburgo and Palacios-Galvez, Maria Soledad and Pan, Yafeng and Papp, Zsófia and Pärnamets, Philip and Paruzel-Czachura, Mariola and Perander, Silva and Pitman, Michael Mark and Raza, Ali and Rêgo, Gabriel Gaudencio and Robertson, Claire E. and Rodríguez-Pascual, Iván and Saikkonen, Teemu and Salvador-Ginez, Octavio and Sampaio, Waldir M. and Santi, Gaia Chiara and Schultner, David T. and Schutte, Enid M. and Scott, Andy and Skali, Ahmed and Stefaniak, Anna and Sternisko, Anni and Strickland, Brent and Thomas, Jeffrey P. and Tinghög, Gustav and Traast, Iris J. and Tucciarelli, Raffaele and Tyrala, Michael and Ungson, Nick D. and Uysal, Mete Sefa and van Rooy, Dirk and Västfjäll, Daniel and Vieira, Joana B. and von Sikorski, Christian and Walker, Alexander C and Watermeyer, Jennifer and Willardt, Robin and Wohl, Michael J. A. and Wójcik, Adrian Dominik and Wu, Kaidi and Yamada, Yuki and Yilmaz, Onurcan and Yogeeswaran, Kumar and Ziemer, Carolin-Theresa and Zwaan, Rolf A. and Boggio, Paulo S. and Whillans, Ashley and Van Lange, Paul A. M. and Prasad, Rajib and Onderco, Michal and O’Madagain, Cathal and Nesh-Nash, Tarik and Laguna, Oscar Moreda and Kubin, Emily and Gümren, Mert and Fenwick, Ali and Ertan, Arhan S. and Bernstein, Michael J and Amara, Hanane and Van Bavel, Jay J.",
year = "2022",
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",
journal = "PNAS Nexus",
title = "Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning",
pages = "15-1",
number = "3",
volume = "1",
doi = "10.1093/pnasnexus/pgac093"
}

Pavlović, T., Azevedo, F., De, K., Riaño-Moreno, J. C., Maglić, M., Gkinopoulos, T., Donnelly-Kehoe, P. A., Payán-Gómez, C., Huang, G., Kantorowicz, J., Birtel, M. D., Schönegger, P., Capraro, V., Santamaría-García, H., Yucel, M., Ibanez, A., Rathje, S., Wetter, E., Stanojević, D., van Prooijen, J., Hesse, E., Elbaek, C. T., Franc, R., Pavlović, Z., Mitkidis, P., Cichocka, A., Gelfand, M. J., Alfano, M., Ross, R. M., Sjåstad, H., Nezlek, J. B., Cislak, A., Lockwood, P. L., Abts, K., Agadullina, E., Amodio, D. M., Apps, M. A. J., Aruta, J. J. B., Besharati, S. N., Bor, A., Choma, B. L., Cunningham, W. A., Ejaz, W., Farmer, H., Findor, A., Gjoneska, B., Gualda, E., Huynh, T. L. D., Imran, M. A., Israelashvili, J., Kantorowicz-Reznichenko, E., Krouwel, A., Kutiyski, Y., Laakasuo, M., Lamm, C., Levy, J., Leygue, C., Lin, M., Mansoor, M. S., Marie, A., Mayiwar, L., Mazepus, H., McHugh, C., Olsson, A., Otterbring, T., Packer, D. J., Palomäki, J., Perry, A., Petersen, M. B., Puthillam, A., Rothmund, T., Schmid, P. C., Stadelmann, D., Stoica, A., Stoyanov, D., Stoyanova, K. K., Tewari, S., Todosijević, B., Torgler, B., Tsakiris, M., Tung, H. H., Umbreș, R. G., Vanags, E., Vlasceanu, M., Vonasch, A. J., Zhang, Y., Abad, M., Adler, E., Mdarhri, H. A., Antazo, B. G., Ay, F. C., Ba, M. E. H., Barbosa, S., Bastian, B., Berg, A., Białek, M., Bilancini, E., Bogatyreva, N., Boncinelli, L., Booth, J. E., Borau, S., Buchel, O., de Carvalho, C. F., Celadin, T., Cerami, C., Chalise, H. N., Cheng, X., Cian, L., Cockcroft, K., Conway, J., Córdoba-Delgado, M. A., Crespi, C., Crouzevialle, M., Cutler, J., Cypryańska, M., Dabrowska, J., Davis, V. H., Minda, J. P., Dayley, P. N., Delouvée, S., Denkovski, O., Dezecache, G., Dhaliwal, N. A., Diato, A. B., Di Paolo, R., Dulleck, U., Ekmanis, J., Etienne, T. W., Farhana, H. H., Farkhari, F., Fidanovski, K., Flew, T., Fraser, S., Frempong, R. B., Fugelsang, J. A., Gale, J., García-Navarro, E. B., Garladinne, P., Gray, K., Griffin, S. M., Gronfeldt, B., Gruber, J., Halperin, E., Herzon, V., Hruška, M., Hudecek, M. F. C., Isler, O., Jangard, S., Jørgensen, F. J., Keudel, O., Koppel, L., Koverola, M., Kunnari, A., Leota, J., Lermer, E., Li, C., Longoni, C., McCashin, D., Mikloušić, I., Molina-Paredes, J., Monroy-Fonseca, C., Morales-Marente, E., Moreau, D., Muda, R., Myer, A., Nash, K., Nitschke, J. P., Nurse, M. S., de Mello, V. O., Palacios-Galvez, M. S., Pan, Y., Papp, Z., Pärnamets, P., Paruzel-Czachura, M., Perander, S., Pitman, M. M., Raza, A., Rêgo, G. G., Robertson, C. E., Rodríguez-Pascual, I., Saikkonen, T., Salvador-Ginez, O., Sampaio, W. M., Santi, G. C., Schultner, D. T., Schutte, E. M., Scott, A., Skali, A., Stefaniak, A., Sternisko, A., Strickland, B., Thomas, J. P., Tinghög, G., Traast, I. J., Tucciarelli, R., Tyrala, M., Ungson, N. D., Uysal, M. S., van Rooy, D., Västfjäll, D., Vieira, J. B., von Sikorski, C., Walker, A. C., Watermeyer, J., Willardt, R., Wohl, M. J. A., Wójcik, A. D., Wu, K., Yamada, Y., Yilmaz, O., Yogeeswaran, K., Ziemer, C., Zwaan, R. A., Boggio, P. S., Whillans, A., Van Lange, P. A. M., Prasad, R., Onderco, M., O’Madagain, C., Nesh-Nash, T., Laguna, O. M., Kubin, E., Gümren, M., Fenwick, A., Ertan, A. S., Bernstein, M. J., Amara, H.,& Van Bavel, J. J.. (2022). Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning. in PNAS Nexus, 1(3), 1-15.
https://doi.org/10.1093/pnasnexus/pgac093

Pavlović T, Azevedo F, De K, Riaño-Moreno JC, Maglić M, Gkinopoulos T, Donnelly-Kehoe PA, Payán-Gómez C, Huang G, Kantorowicz J, Birtel MD, Schönegger P, Capraro V, Santamaría-García H, Yucel M, Ibanez A, Rathje S, Wetter E, Stanojević D, van Prooijen J, Hesse E, Elbaek CT, Franc R, Pavlović Z, Mitkidis P, Cichocka A, Gelfand MJ, Alfano M, Ross RM, Sjåstad H, Nezlek JB, Cislak A, Lockwood PL, Abts K, Agadullina E, Amodio DM, Apps MAJ, Aruta JJB, Besharati SN, Bor A, Choma BL, Cunningham WA, Ejaz W, Farmer H, Findor A, Gjoneska B, Gualda E, Huynh TLD, Imran MA, Israelashvili J, Kantorowicz-Reznichenko E, Krouwel A, Kutiyski Y, Laakasuo M, Lamm C, Levy J, Leygue C, Lin M, Mansoor MS, Marie A, Mayiwar L, Mazepus H, McHugh C, Olsson A, Otterbring T, Packer DJ, Palomäki J, Perry A, Petersen MB, Puthillam A, Rothmund T, Schmid PC, Stadelmann D, Stoica A, Stoyanov D, Stoyanova KK, Tewari S, Todosijević B, Torgler B, Tsakiris M, Tung HH, Umbreș RG, Vanags E, Vlasceanu M, Vonasch AJ, Zhang Y, Abad M, Adler E, Mdarhri HA, Antazo BG, Ay FC, Ba MEH, Barbosa S, Bastian B, Berg A, Białek M, Bilancini E, Bogatyreva N, Boncinelli L, Booth JE, Borau S, Buchel O, de Carvalho CF, Celadin T, Cerami C, Chalise HN, Cheng X, Cian L, Cockcroft K, Conway J, Córdoba-Delgado MA, Crespi C, Crouzevialle M, Cutler J, Cypryańska M, Dabrowska J, Davis VH, Minda JP, Dayley PN, Delouvée S, Denkovski O, Dezecache G, Dhaliwal NA, Diato AB, Di Paolo R, Dulleck U, Ekmanis J, Etienne TW, Farhana HH, Farkhari F, Fidanovski K, Flew T, Fraser S, Frempong RB, Fugelsang JA, Gale J, García-Navarro EB, Garladinne P, Gray K, Griffin SM, Gronfeldt B, Gruber J, Halperin E, Herzon V, Hruška M, Hudecek MFC, Isler O, Jangard S, Jørgensen FJ, Keudel O, Koppel L, Koverola M, Kunnari A, Leota J, Lermer E, Li C, Longoni C, McCashin D, Mikloušić I, Molina-Paredes J, Monroy-Fonseca C, Morales-Marente E, Moreau D, Muda R, Myer A, Nash K, Nitschke JP, Nurse MS, de Mello VO, Palacios-Galvez MS, Pan Y, Papp Z, Pärnamets P, Paruzel-Czachura M, Perander S, Pitman MM, Raza A, Rêgo GG, Robertson CE, Rodríguez-Pascual I, Saikkonen T, Salvador-Ginez O, Sampaio WM, Santi GC, Schultner DT, Schutte EM, Scott A, Skali A, Stefaniak A, Sternisko A, Strickland B, Thomas JP, Tinghög G, Traast IJ, Tucciarelli R, Tyrala M, Ungson ND, Uysal MS, van Rooy D, Västfjäll D, Vieira JB, von Sikorski C, Walker AC, Watermeyer J, Willardt R, Wohl MJA, Wójcik AD, Wu K, Yamada Y, Yilmaz O, Yogeeswaran K, Ziemer C, Zwaan RA, Boggio PS, Whillans A, Van Lange PAM, Prasad R, Onderco M, O’Madagain C, Nesh-Nash T, Laguna OM, Kubin E, Gümren M, Fenwick A, Ertan AS, Bernstein MJ, Amara H, Van Bavel JJ. Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning. in PNAS Nexus. 2022;1(3):1-15.
doi:10.1093/pnasnexus/pgac093 .

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 J., Alfano, Mark, Ross, Robert M., Sjåstad, Hallgeir, Nezlek, John B., Cislak, Aleksandra, Lockwood, Patricia L., Abts, Koen, Agadullina, Elena, Amodio, David M., Apps, Matthew A J, Aruta, John Jamir Benzon, Besharati, Sahba Nomvula, Bor, Alexander, Choma, Becky L., Cunningham, William A., 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 J., Palomäki, Jussi, Perry, Anat, Petersen, Michael Bang, Puthillam, Arathy, Rothmund, Tobias, Schmid, Petra C., Stadelmann, David, Stoica, Augustin, Stoyanov, Drozdstoy, Stoyanova, Kristina K., 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 G., 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 B., 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 A., 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 J., 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 Mark, Raza, Ali, Rêgo, Gabriel Gaudencio, Robertson, Claire E., Rodríguez-Pascual, Iván, Saikkonen, Teemu, Salvador-Ginez, Octavio, Sampaio, Waldir M., Santi, Gaia Chiara, Schultner, David T., Schutte, Enid M., 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 S., 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 J., "Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning" in PNAS Nexus, 1, no. 3 (2022):1-15,
https://doi.org/10.1093/pnasnexus/pgac093 . .