학술논문
Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning
Document Type
Artikel
Author
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, JW; Hesse, E; Elbaek, CT; Franc, R; Pavlović, Z; Mitkidis, P; Cichocka, A; Gelfand, M; Alfano, M; Ross, RM; Sjåstad, H; Nezlek, JB; Cislak, A; Lockwood, P; Abts, K; Agadullina, E; Amodio, DM; Apps, MAJ; Aruta, JJB; Besharati, S; Bor, A; Choma, B; Cunningham, W; 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, MJ; Mansoor, MS; Marie, A; Mayiwar, L; Mazepus, H; McHugh, C; Olsson, A; Otterbring, T; Packer, D; Palomäki, J; Perry, A; Petersen, MB; Puthillam, A; Rothmund, T; Schmid, PC; Stadelmann, D; Stoica, A; Stoyanov, D; Stoyanova, K; 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, B; 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, A; Di Paolo, R; Dulleck, U; Ekmanis, J; Etienne, TW; Farhana, HH; Farkhari, F; Fidanovski, K; Flew, T; Fraser, S; Frempong, RB; Fugelsang, J; 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, F; 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, M; Raza, A; Rêgo, GG; Robertson, C; Rodríguez-Pascual, I; Saikkonen, T; Salvador-Ginez, O; Sampaio, WM; Santi, GC; Schultner, D; Schutte, E; 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, CT; 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
Source
PNAS nexus. 1(3)
Subject
Language
English
English
English
ISSN
2752-6542