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

      Van Lissa C.J., Stroebe W., vanDellen M.R., Leander N.P., Agostini M., Draws T., Grygoryshyn A., Gützgow B., Kreienkamp J., Vetter C.S., Abakoumkin G., Abdul Khaiyom J.H., Ahmedi V., Akkas H., Almenara C.A., Atta M., Bagci S.C., Basel S., Kida E.B., Bernardo A.B.I., Buttrick N.R., Chobthamkit P., Choi H.-S., Cristea M., Csaba S., Damnjanović K., Danyliuk I., Dash A., Di Santo D., Douglas K.M., Enea V., Faller D.G., Fitzsimons G.J., Gheorghiu A., Gómez Á., Hamaidia A., Han Q., Helmy M., Hudiyana J., Jeronimus B.F., Jiang D.-Y., Jovanović V., Kamenov, Kende A., Keng S.-L., Thanh Kieu T.T., Koc Y., Kovyazina K., Kozytska I., Krause J., Kruglanksi A.W., Kurapov A., Kutlaca M., Lantos N.A., Lemay E.P., Jr., Jaya Lesmana C.B., Louis W.R., Lueders A., Malik N.I., Martinez A.P., McCabe K.O., Mehulić J., Milla M.N., Mohammed I., Molinario E., Moyano M., Muhammad H., Mula S., Muluk H., Myroniuk S., Najafi R., Nisa C.F., Nyúl B., O'Keefe P.A., Olivas Osuna J.J., Osin E.N., Park J., Pica G., Pierro A., Rees J.H., Reitsema A.M., Resta E., Rullo M., Ryan M.K., Samekin A., Santtila P., Sasin E.M., Schumpe B.M., Selim H.A., Stanton M.V., Sultana S., Sutton R.M., Tseliou E., Utsugi A., Anne van Breen J., Van Veen K., Vázquez A., Wollast R., Wai-Lan Yeung V., Zand S., Žeželj I.L., Zheng B., Zick A., Zúñiga C., Bélanger J.J. (2022)
      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 ...