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Model-based assessment of the risks of viral transmission in non-confined crowds

This work assesses the risks of Covid-19 spread in diverse daily-life situations involving crowds of maskless pedestrians, mostly outdoors. More concretely, we develop a method to infer the global number of new infections from patchy observations, by coupling ad hoc spatial models for disease transm...

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Detalles Bibliográficos
Autores principales: Garcia, Willy, Mendez, Simon, Fray, Baptiste, Nicolas, Alexandre
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8418781/
https://www.ncbi.nlm.nih.gov/pubmed/34511728
http://dx.doi.org/10.1016/j.ssci.2021.105453