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

Van Lissa, Caspar J; Stroebe, Wolfgang; vanDellen, Michelle R; Leander, N Pontus; Agostini, Maximilian; Draws, Tim; Grygoryshyn, Andrii; Gützgow, Ben; Kreienkamp, Jannis; Vetter, Clara S; +95 more... Abakoumkin, Georgios; Abdul Khaiyom, Jamilah Hanum; Ahmedi, Vjolica; Akkas, Handan; Almenara, Carlos A; Atta, Mohsin; Bagci, Sabahat Cigdem; Basel, Sima; Kida, Edona Berisha; Bernardo, Allan BI; Buttrick, Nicholas R; Chobthamkit, Phatthanakit; Choi, Hoon-Seok; Cristea, Mioara; Csaba, Sára; Damnjanović, Kaja; Danyliuk, Ivan; Dash, Arobindu; Di Santo, Daniela; Douglas, Karen M; Enea, Violeta; Faller, Daiane Gracieli; Fitzsimons, Gavan J; Gheorghiu, Alexandra; Gómez, Ángel; Hamaidia, Ali; Han, Qing; Helmy, Mai; Hudiyana, Joevarian; Jeronimus, Bertus F; Jiang, Ding-Yu; Jovanović, Veljko; Kamenov, Željka; Kende, Anna; Keng, Shian-Ling; Thanh Kieu, Tra Thi; Koc, Yasin; Kovyazina, Kamila; Kozytska, Inna; Krause, Joshua; Kruglanksi, Arie W; Kurapov, Anton; Kutlaca, Maja; Lantos, Nóra Anna; Lemay, Edward P; Jaya Lesmana, Cokorda Bagus; Louis, Winnifred R; Lueders, Adrian; Malik, Najma Iqbal; 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; Olivas Osuna, Jose Javier; Osin, Evgeny N; Park, Joonha; Pica, Gennaro; Pierro, Antonio; Rees, Jonas H; Reitsema, Anne Margit; Resta, Elena; Rullo, Marika; Ryan, Michelle K; Samekin, Adil; Santtila, Pekka; Sasin, Edyta M; Schumpe, Birga M; Selim, Heyla A; Stanton, Michael Vicente; Sultana, Samiah; Sutton, Robbie M; Tseliou, Eleftheria; Utsugi, Akira; Anne van Breen, Jolien; Van Veen, Kees; Vázquez, Alexandra; Wollast, Robin; Wai-Lan Yeung, Victoria; Zand, Somayeh; Žeželj, Iris Lav; Zheng, Bang; Zick, Andreas; Zúñiga, Claudia; Bélanger, Jocelyn J; (2022) Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic. Patterns, 3 (4). 100482-. ISSN 2666-3899 DOI: https://doi.org/10.1016/j.patter.2022.100482

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