.Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic

• Main Authors: Van Lissa, Caspar J, Stroebe, Wolfgang, vanDellen, Michelle R, Leander, N Pontus, Agostini, Maximilian, Draws, Tim, Grygoryshyn, Andrii, Gutzkow, Ben, Kreienkamp, Jannis, Vetter, Clara S., Abakoumkin, Georgios, Abdul Khaiyom, Jamilah Hanum, Ahmedi, Vjollca, Akkas, Handan, Almenara, Carlos A, Atta, Mohsin, Bagci, Sabahat Cigdem, Basel, Sima, Kida, Edona Berisha, Bernado, Allan B. I., Buttrick, Nicholas R, Chobthamkit, Phatthanakit, Choi, Hoon-Seok, Cristea, Mioara, Csaba, Sara, Damnjanović, Kaja, Danyliuk, Ivan, Dash, Arobindu, Di Santo, Daniela, Douglas, Karen M, Enea, Violeta, Faller, Daiane, Fitzsimons, Gavan J, Gheorghiu, Alexandra, Gómez, Ángel, Hamaidia, Ali, Han, Qing, Helmy, Mai, Hudiyana, Joevarian, Jeronimus, Bertus F, Jiang, Ding-Yu, Jovanović, Veljko, Kamenov, Zeljka, Kende, Anna, Keng, Shian-Ling, Tra, Thi Thanh Kieu, Koc, Yasin, Kovyazina, Kamila, Kozytska, Inna, Krause, Joshua, Kruglanski, Arie W, Kurapov, Anton, Kutlaca, Maja, Lantos, Nóra Anna, Lemay Jr., Edward P, Lesmana, Cokorda Bagus J, Louis, Winnifred R, Lueders, Adrian, Iqbal Malik, Najma, Martinez, Anton P, McCabe, Kira O, Mehulić, Jasmina, Milla, Mirra Noor, Mohammed, Idris, Molinario, Erica, Moyano, Manuel, Muhammad, Hayat, Mula, Silvana, Muluk, Hamdi, Myroniuk, Solomiia, Najafi, Reza, Nisa, Claudia F, Nyúl, Boglárka, O'Keefe, Paul A, Osuna, Jose Javier Olivas, Osin, Evgeny N, Park, Joonha, Pica, Gennaro, Pierro, Antonio, Rees, Jonas H, Reitsema, Anne Margit, Resta, Elena, Rullo, Marika, Ryan, Michelle K, Samekin, Adil, Santilla, Pekka, Sasin, Edyta, Schumpe, Birga M, Selim, Heyla A, Stanton, Michael Vicente, Sultana, Samiah, Sutton, Robbie M, Tseliou, Eleftheria, Utsugi, Akira, van Breen, Jolien A, Van Veen, Kees, Vázquez, Alexandra, Wollast, Robin, Yeung, Victoria Wai-lan, Zand, Somayeh, Žeželj, Iris Lav, Zheng, Bang, Zick, Andreas, Zúñiga, Claudia, Belanger, Jocelyn J,
• Format: Article
• Language: English
• Published: 2022
• Subjects: BF Psychology; BF636 Applied psychology; Q Science (General); QA Mathematics; QA75 Electronic computers. Computer science; QA76 Computer software; RA Public aspects of medicine; RA0421 Public health. Hygiene. Preventive Medicine; RA643 Communicable Diseases and Public Health; RA644.C67 Coronavirus infections. COVID-19 (Disease). COVID-19 Pandemic, 2020; T Technology (General); T10.5 Communication of technical information; T351 Mechanical drawing. Engineering graphics
• Online Access: http://irep.iium.edu.my/97637/1/2022_PsyCorona%20Collaboration_Patterns.pdf; http://irep.iium.edu.my/97637/
• Institution: Universiti Islam Antarabangsa Malaysia

Before vaccines for coronavirus disease 2019 (COVID-19) became available, a set of infection-prevention behaviors constituted the primary means to mitigate the virus spread. Our study aimed to identify important predictors of this set of behaviors. Whereas social and health psychological theories su...