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Masks and distancing during COVID-19: a causal framework for imputing value to public-health interventions

During the COVID-19 pandemic, the scientific community developed predictive models to evaluate potential governmental interventions. However, the analysis of the effects these interventions had is less advanced. Here, we propose a data-driven framework to assess these effects retrospectively. We use...

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Detalles Bibliográficos
Autores principales: Babino, Andres, Magnasco, Marcelo O.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7970858/
https://www.ncbi.nlm.nih.gov/pubmed/33664380
http://dx.doi.org/10.1038/s41598-021-84679-8