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...

Descripción completa

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

Internet

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

Ejemplares similares