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Journal article
High‑fidelity simulation of pathogen propagation, transmission and mitigation in the built environment
Archives of Computational Methods in Engineering, pp.1-26
2021
PMCID: PMC8256653
PMID: 34248352
Web of Science ID: WOS:000669754000002
Abstract
An overview of high-fidelity modeling of pathogen propagation, transmission and mitigation in the built environment is given. In order to derive the required physical and numerical models, the current understanding of pathogen, and in particular virus transmission and mitigation is summarized. The ordinary and partial differential equations that describe the flow, the particles and possibly the UV radiation loads in rooms or HVAC ducts are presented, as well as proper numerical methods to solve them in an expedient way. Thereafter, the motion of pedestrians, as well as proper ways to couple computational fluid dynamics and computational crowd dynamics to enable high-fidelity pathogen transmission and infection simulations is treated. The present review shows that high-fidelity simulations of pathogen propagation, transmission and mitigation in the built environment have reached a high degree of sophistication, offering a quantum leap in accuracy from simpler probabilistic models. This is particularly the case when considering the propagation of pathogens via aerosols in the presence
of moving pedestrians.
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Details
- Title
- High‑fidelity simulation of pathogen propagation, transmission and mitigation in the built environment
- Publication Details
- Archives of Computational Methods in Engineering, pp.1-26
- Resource Type
- Journal article
- Publisher
- Springer Netherlands; Netherlands
- Copyright
- This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. CIMNE, Barcelona, Spain 2021
- Identifiers
- WOS:000669754000002; 99380090891006600
- Academic Unit
- Computer Science; Hal Marcus College of Science and Engineering
- Language
- English