학술논문

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning
Document Type
Article
Author
Pavlović, T.Maglić, M.Franc, R.Mikloušić, I.Azevedo, F.De, K.Riaño-Moreno, J.C.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.-W.Van Lange, P.A.M.Hesse, E.Elbaek, C.T.Mitkidis, P.Pavlović, Z.Cichocka, A.Gronfeldt, B.Gelfand, M.Alfano, M.Ross, R.M.Sjåstad, H.Nezlek, J.B.Cypryańska, M.Cislak, A.Lockwood, P.Apps, M.A.J.Abts, K.Agadullina, E.Amodio, D.M.Aruta, J.J.B.Besharati, S.Cockcroft, K.Pitman, M.Schutte, E.Bor, A.Marie, A.Petersen, M.B.Jørgensen, F.Choma, B.Cunningham, W.de Mello, V.O.Ejaz, W.Farmer, H.Findor, A.Hruška, M.Gjoneska, B.Gualda, E.Huynh, T.L.D.Imran, M.A.Israelashvili, J.Perry, A.Adler, E.Halperin, E.Kantorowicz-Reznichenko, E.Krouwel, A.Kutiyski, Y.Etienne, T.W.Laguna, O.M.Laakasuo, M.Berg, A.Herzon, V.Koverola, M.Palomäki, J.Lamm, C.Nitschke, J.P.Levy, J.Leygue, C.Lin, M.-J.Mansoor, M.S.Mayiwar, L.Mazepus, H.McHugh, C.Griffin, S.M.Olsson, A.Jangard, S.Pärnamets, P.Vieira, J.B.Otterbring, T.Packer, D.Puthillam, A.Rothmund, T.Schmid, P.C.Crouzevialle, M.Willardt, R.Stadelmann, D.Frempong, R.B.Stoica, A.Stoyanov, D.Stoyanova, K.Tewari, S.Garladinne, P.Todosijević, B.Torgler, B.Tsakiris, M.Tung, H.H.Umbreș, R.G.Vanags, E.Vlasceanu, M.Vonasch, A.J.Gale, J.Yogeeswaran, K.Zhang, Y.Abad, M.Mdarhri, H.A.O’Madagain, C.Antazo, B.Ay, F.C.Ba, M.E.H.Barbosa, S.Bastian, B.Białek, M.Bilancini, E.Di Paolo, R.Bogatyreva, N.Boncinelli, L.Booth, J.E.Li, C.Thomas, J.P.Borau, S.Buchel, O.de Carvalho, C.F.Celadin, T.Cerami, C.Chalise, H.N.Cheng, X.Cian, L.Conway, J.Córdoba-Delgado, M.A.Crespi, C.Cutler, J.Dabrowska, J.Davis, V.H.Minda, J.P.Dayley, P.N.Delouvée, S.Denkovski, O.Dezecache, G.Dhaliwal, N.A.Diato, A.Dulleck, U.Isler, O.Ekmanis, J.Farhana, H.H.Farkhari, F.Ziemer, C.-T.Fidanovski, K.Flew, T.Fraser, S.Walker, A.C.Fugelsang, J.García-Navarro, E.B.Gray, K.Gruber, J.Hudecek, M.F.C.Keudel, O.Tinghög, G.Koppel, L.Kunnari, A.Leota, J.Lermer, E.Longoni, C.McCashin, D.Molina-Paredes, J.Monroy-Fonseca, C.Morales-Marente, E.Palacios-Galvez, M.S.Rodríguez-Pascual, I.Moreau, D.Muda, R.Myer, A.Scott, A.Nash, K.Nurse, M.S.Pan, Y.Papp, Z.Paruzel-Czachura, M.Perander, S.Raza, A.Rêgo, G.G.Sampaio, W.M.Boggio, P.S.Robertson, C.Sternisko, A.Van Bavel, J.J.Saikkonen, T.Salvador-Ginez, O.Santi, G.C.Schultner, D.Skali, A.Stefaniak, A.Wohl, M.J.A.Strickland, B.Traast, I.J.Tucciarelli, R.Tyrala, M.Ungson, N.D.Uysal, M.S.Van Rooy, D.Västfjäll, D.von Sikorski, C.Kubin, E.Watermeyer, J.Wójcik, A.D.Wu, K.Yamada, Y.Yilmaz, O.Zwaan, R.A.Whillans, A.Prasad, R.Onderco, M.Nesh-Nash, T.Gümren, M.Amara, H.Fenwick, A.Ertan, A.S.Bernstein, M.J.Palomäki, J.
Source
In: PNAS Nexus. (PNAS Nexus, 1 July 2022, 1(3))
Subject
Language
English
ISSN
27526542