A machine learning approach to predict self-protecting behaviors during the early wave of the COVID-19 pandemic

Abstract Using a unique harmonized real‐time data set from the COME-HERE longitudinal survey that covers five European countries (France, Germany, Italy, Spain, and Sweden) and applying a non-parametric machine learning model, this paper identifies the main individual and macro-level predictors of s...

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Principais autores:	Alemayehu D. Taye, Liyousew G. Borga, Samuel Greiff, Claus Vögele, Conchita D’Ambrosio
Format:	Artigo
Jezik:	Inglês
Izdano:	Nature Portfolio 2023-04-01
Serija:	Scientific Reports
Online dostop:	https://doi.org/10.1038/s41598-023-33033-1
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