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A coupled Computational Fluid Dynamics and Wells-Riley model to predict COVID-19 infection probability for passengers on long-distance trains

Coupled Wells-Riley (WR) and Computational Fluid Dynamics (CFD) modelling (WR-CFD) facilitates a detailed analysis of COVID-19 infection probability (IP). This approach overcomes issues associated with the WR ‘well-mixed’ assumption. The WR-CFD model, which makes uses of a scalar approach to simulat...

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Detalles Bibliográficos
Autores principales:	Wang, Zhaozhi, Galea, Edwin R., Grandison, Angus, Ewer, John, Jia, Fuchen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier Ltd. 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8590932/ https://www.ncbi.nlm.nih.gov/pubmed/34803226 http://dx.doi.org/10.1016/j.ssci.2021.105572

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