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

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 self-prote...

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Detalles Bibliográficos
Autores principales: Taye, Alemayehu D., Borga, Liyousew G., Greiff, Samuel, Vögele, Claus, D’Ambrosio, Conchita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103659/
https://www.ncbi.nlm.nih.gov/pubmed/37059871
http://dx.doi.org/10.1038/s41598-023-33033-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10103659/
https://www.ncbi.nlm.nih.gov/pubmed/37059871
http://dx.doi.org/10.1038/s41598-023-33033-1

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