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Simulating near‐field enhancement in transmission of airborne viruses with a quadrature‐based model
Some infectious diseases, such as influenza, tuberculosis, and SARS‐CoV‐2, may be transmitted when virus‐laden particles expelled from an infectious person are inhaled by someone else, which is known as the airborne transmission route. These virus‐laden particles are more concentrated in the expirat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8447483/ https://www.ncbi.nlm.nih.gov/pubmed/34297863 http://dx.doi.org/10.1111/ina.12900 |
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author | Fierce, Laura Robey, Alison J. Hamilton, Cathrine |
author_facet | Fierce, Laura Robey, Alison J. Hamilton, Cathrine |
author_sort | Fierce, Laura |
collection | PubMed |
description | Some infectious diseases, such as influenza, tuberculosis, and SARS‐CoV‐2, may be transmitted when virus‐laden particles expelled from an infectious person are inhaled by someone else, which is known as the airborne transmission route. These virus‐laden particles are more concentrated in the expiratory jet of an infectious person than elsewhere in a well‐mixed room, but this near‐field enhancement in virion exposure has not been well quantified. Transmission of airborne viruses depends on factors that are inherently variable and, in many cases, poorly constrained, and quantifying this uncertainty requires large ensembles of model simulations that span the variability in input parameters. However, models that are well‐suited to simulate the near‐field evolution of respiratory particles are also computationally expensive, which limits the exploration of parametric uncertainty. In order to perform many simulations that span the wide variability in factors governing airborne transmission, we developed the Quadrature‐based model of Respiratory Aerosol and Droplets (QuaRAD). QuaRAD is an efficient framework for simulating the evolution of virus‐laden particles after they are expelled from an infectious person, their deposition to the nasal cavity of a susceptible person, and the subsequent risk of initial infection. We simulated 10 000 scenarios to quantify the risk of initial infection by a particular virus, SARS‐CoV‐2. The predicted risk of infection was highly variable among scenarios and, in each scenario, was strongly enhanced near the infectious individual. In more than 50% of scenarios, the physical distancing needed to avoid near‐field enhancements in airborne transmission was beyond the recommended safe distance of two meters (six feet) if the infectious person is not wearing a mask, though this distance defining the near‐field extent was also highly variable among scenarios; the variability in the near‐field extent is explained predominantly by variability in expiration velocity. Our findings suggest that maintaining at least two meters of distance from an infectious person greatly reduces exposure to airborne virions; protections against airborne transmission, such as N95 respirators, should be available when distancing is not possible. |
format | Online Article Text |
id | pubmed-8447483 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84474832021-09-17 Simulating near‐field enhancement in transmission of airborne viruses with a quadrature‐based model Fierce, Laura Robey, Alison J. Hamilton, Cathrine Indoor Air Original Articles Some infectious diseases, such as influenza, tuberculosis, and SARS‐CoV‐2, may be transmitted when virus‐laden particles expelled from an infectious person are inhaled by someone else, which is known as the airborne transmission route. These virus‐laden particles are more concentrated in the expiratory jet of an infectious person than elsewhere in a well‐mixed room, but this near‐field enhancement in virion exposure has not been well quantified. Transmission of airborne viruses depends on factors that are inherently variable and, in many cases, poorly constrained, and quantifying this uncertainty requires large ensembles of model simulations that span the variability in input parameters. However, models that are well‐suited to simulate the near‐field evolution of respiratory particles are also computationally expensive, which limits the exploration of parametric uncertainty. In order to perform many simulations that span the wide variability in factors governing airborne transmission, we developed the Quadrature‐based model of Respiratory Aerosol and Droplets (QuaRAD). QuaRAD is an efficient framework for simulating the evolution of virus‐laden particles after they are expelled from an infectious person, their deposition to the nasal cavity of a susceptible person, and the subsequent risk of initial infection. We simulated 10 000 scenarios to quantify the risk of initial infection by a particular virus, SARS‐CoV‐2. The predicted risk of infection was highly variable among scenarios and, in each scenario, was strongly enhanced near the infectious individual. In more than 50% of scenarios, the physical distancing needed to avoid near‐field enhancements in airborne transmission was beyond the recommended safe distance of two meters (six feet) if the infectious person is not wearing a mask, though this distance defining the near‐field extent was also highly variable among scenarios; the variability in the near‐field extent is explained predominantly by variability in expiration velocity. Our findings suggest that maintaining at least two meters of distance from an infectious person greatly reduces exposure to airborne virions; protections against airborne transmission, such as N95 respirators, should be available when distancing is not possible. John Wiley and Sons Inc. 2021-07-23 2021-11 /pmc/articles/PMC8447483/ /pubmed/34297863 http://dx.doi.org/10.1111/ina.12900 Text en © 2021 The Authors. Indoor Air published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Original Articles Fierce, Laura Robey, Alison J. Hamilton, Cathrine Simulating near‐field enhancement in transmission of airborne viruses with a quadrature‐based model |
title | Simulating near‐field enhancement in transmission of airborne viruses with a quadrature‐based model |
title_full | Simulating near‐field enhancement in transmission of airborne viruses with a quadrature‐based model |
title_fullStr | Simulating near‐field enhancement in transmission of airborne viruses with a quadrature‐based model |
title_full_unstemmed | Simulating near‐field enhancement in transmission of airborne viruses with a quadrature‐based model |
title_short | Simulating near‐field enhancement in transmission of airborne viruses with a quadrature‐based model |
title_sort | simulating near‐field enhancement in transmission of airborne viruses with a quadrature‐based model |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8447483/ https://www.ncbi.nlm.nih.gov/pubmed/34297863 http://dx.doi.org/10.1111/ina.12900 |
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