Modelling aerosol-based exposure to SARS-CoV-2 by an agent based Monte Carlo method: Risk estimates in a shop and bar.
Present day risk assessment on the spreading of airborne viruses is often based on the classical Wells-Riley model assuming immediate mixing of the aerosol into the studied environment. Here, we improve on this approach and the underlying assumptions by modeling the space-time dependency of the aero...
Guardado en:
Autores principales: | Henri Salmenjoki, Marko Korhonen, Antti Puisto, Ville Vuorinen, Mikko J Alava |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Public Library of Science (PLoS)
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/f261fa3da9f54b7a860c6b0a5dce9f65 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Machine learning plastic deformation of crystals
por: Henri Salmenjoki, et al.
Publicado: (2018) -
Monte Carlo methods and applications
Publicado: (1995) -
Frequency-resolved Monte Carlo
por: Juan Camilo López Carreño, et al.
Publicado: (2018) -
Key Factors for Improving the Carcinogenic Risk Assessment of PAH Inhalation Exposure by Monte Carlo Simulation
por: Ning Qin, et al.
Publicado: (2021) -
Adaptive Magnetic Hamiltonian Monte Carlo
por: Wilson Tsakane Mongwe, et al.
Publicado: (2021)