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Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

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author: Cesar Payan-Gomez  Raymond Boadi Frempong  John Jamir Benzon Aruta  Mariola Paruzel-Czachura  Gustav Tinghög  Hallgeir Sjåstad  Elena Kantorowicz-Reznichenko  Koustav De  Julián Camilo Riaño Moreno  Michael J. Bernstein  Kristina Stoyanova  Edmunds Vanags  Ali Fenwick  John B. Nezlek  Marina Maglić  Jaroslaw Kantorowicz  Mark Alfano  Zoran Pavlović  Christian T. Elbaek  Caroline Leygue  Mohammad Sabbir Mansoor  Waqas Ejaz  Lewend Mayiwar  Honorata Mazepus  Roberto Di Paolo  Panagiotis Mitkidis  Aleksandra Cisłak  Jo Cutler  Patricio Donnelly-Kehoe  Waldir Sampaio  Michael Bang Petersen  Tomislav Pavlović  Hom Nath Chalise  Koen Abts  Yucheng Zhang  Agustín Ibáñez  Valerio Capraro  Alexander C Walker  Jonathan E Booth  Guanxiong Huang  Arhan Ertan  Benno Torgler  Madalina Vlasceanu  Philip Pärnamets  Antoine Marie  Biljana Gjoneska  Eva Lermer  Michèle Denise Birtel  Flavio Azevedo  Sylvain Delouvée  Theofilos Gkinopoulos  Alexander Bor  Jussi Palomäki  Jan-Willem van Prooijen  André Krouwel  Daniel Västfjäll  Robert M Ross  Manos Tsakiris  Patricia L Lockwood  Jonas P Nitschke 

Publication date July 2022
Language English
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