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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| 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 |