Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic.
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ABSTRACT:
SUBMITTER: Van Lissa CJ
PROVIDER: S-EPMC8904175 | biostudies-literature | 2022 Apr
REPOSITORIES: biostudies-literature
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Using machine learning to identify important predictors of COVID-19 infection prevention behaviors during the early phase of the pandemic.
Van Lissa Caspar J CJ Stroebe Wolfgang W vanDellen Michelle R MR Leander N Pontus NP Agostini Maximilian M Draws Tim T Grygoryshyn Andrii A Gützgow Ben B Kreienkamp Jannis J Vetter Clara S CS Abakoumkin Georgios G Abdul Khaiyom Jamilah Hanum JH Ahmedi Vjolica V Akkas Handan H Almenara Carlos A CA Atta Mohsin M Bagci Sabahat Cigdem SC Basel Sima S Kida Edona Berisha EB Bernardo Allan B I ABI Buttrick Nicholas R NR Chobthamkit Phatthanakit P Choi Hoon-Seok HS Cristea Mioara M Csaba Sára S Damnjanović Kaja K Danyliuk Ivan I Dash Arobindu A Di Santo Daniela D Douglas Karen M KM Enea Violeta V Faller Daiane Gracieli DG Fitzsimons Gavan J GJ Gheorghiu Alexandra A Gómez Ángel Á Hamaidia Ali A Han Qing Q Helmy Mai M Hudiyana Joevarian J Jeronimus Bertus F BF Jiang Ding-Yu DY Jovanović Veljko V Kamenov Željka Ž Kende Anna A Keng Shian-Ling SL Thanh Kieu Tra Thi TT Koc Yasin Y Kovyazina Kamila K Kozytska Inna I Krause Joshua J Kruglanksi Arie W AW Kurapov Anton A Kutlaca Maja M Lantos Nóra Anna NA Lemay Edward P EP Jaya Lesmana Cokorda Bagus CB Louis Winnifred R WR Lueders Adrian A Malik Najma Iqbal NI Martinez Anton P AP McCabe Kira O KO Mehulić Jasmina J Milla Mirra Noor MN Mohammed Idris I Molinario Erica E Moyano Manuel M Muhammad Hayat H Mula Silvana S Muluk Hamdi H Myroniuk Solomiia S Najafi Reza R Nisa Claudia F CF Nyúl Boglárka B O'Keefe Paul A PA Olivas Osuna Jose Javier JJ Osin Evgeny N EN Park Joonha J Pica Gennaro G Pierro Antonio A Rees Jonas H JH Reitsema Anne Margit AM Resta Elena E Rullo Marika M Ryan Michelle K MK Samekin Adil A Santtila Pekka P Sasin Edyta M EM Schumpe Birga M BM Selim Heyla A HA Stanton Michael Vicente MV Sultana Samiah S Sutton Robbie M RM Tseliou Eleftheria E Utsugi Akira A Anne van Breen Jolien J Van Veen Kees K Vázquez Alexandra A Wollast Robin R Wai-Lan Yeung Victoria V Zand Somayeh S Žeželj Iris Lav IL Zheng Bang B Zick Andreas A Zúñiga Claudia C Bélanger Jocelyn J JJ
Patterns (New York, N.Y.) 20220309 4
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 suggest a limited set of predictors, machine-learning analyses can identify correlates from a larger pool of candidate predictors. We used random forests to rank 115 candidate correlates of infection-pr ...[more]
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