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Modeling the load of SARS-CoV-2 virus in human expelled particles during coughing and speaking

Particle size is an essential factor when considering the fate and transport of virus-containing droplets expelled by human, because it determines the deposition pattern in the human respiratory system and the evolution of droplets by evaporation and gravitational settling. However, the evolution of...

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Autores principales: Wang, Yang, Xu, Guang, Huang, Yue-Wern
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7598485/
https://www.ncbi.nlm.nih.gov/pubmed/33125421
http://dx.doi.org/10.1371/journal.pone.0241539
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author Wang, Yang
Xu, Guang
Huang, Yue-Wern
author_facet Wang, Yang
Xu, Guang
Huang, Yue-Wern
author_sort Wang, Yang
collection PubMed
description Particle size is an essential factor when considering the fate and transport of virus-containing droplets expelled by human, because it determines the deposition pattern in the human respiratory system and the evolution of droplets by evaporation and gravitational settling. However, the evolution of virus-containing droplets and the size-dependent viral load have not been studied in detail. The lack of this information leads to uncertainties in understanding the airborne transmission of respiratory diseases, such as the COVID-19. In this study, through a set of differential equations describing the evolution of respiratory droplets and by using the SARS-CoV-2 virus as an example, we investigated the distribution of airborne virus in human expelled particles from coughing and speaking. More specifically, by calculating the vertical distances traveled by the respiratory droplets, we examined the number of viruses that can remain airborne and the size of particles carrying these airborne viruses after different elapsed times. From a single cough, a person with a high viral load in respiratory fluid (2.35 × 10(9) copies per ml) may generate as many as 1.23 × 10(5) copies of viruses that can remain airborne after 10 seconds, compared to 386 copies of a normal patient (7.00 × 10(6) copies per ml). Masking, however, can effectively block around 94% of the viruses that may otherwise remain airborne after 10 seconds. Our study found that no clear size boundary exists between particles that can settle and can remain airborne. The results from this study challenge the conventional understanding of disease transmission routes through airborne and droplet mechanisms. We suggest that a complete understanding of the respiratory droplet evolution is essential and needed to identify the transmission mechanisms of respiratory diseases.
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spelling pubmed-75984852020-11-03 Modeling the load of SARS-CoV-2 virus in human expelled particles during coughing and speaking Wang, Yang Xu, Guang Huang, Yue-Wern PLoS One Research Article Particle size is an essential factor when considering the fate and transport of virus-containing droplets expelled by human, because it determines the deposition pattern in the human respiratory system and the evolution of droplets by evaporation and gravitational settling. However, the evolution of virus-containing droplets and the size-dependent viral load have not been studied in detail. The lack of this information leads to uncertainties in understanding the airborne transmission of respiratory diseases, such as the COVID-19. In this study, through a set of differential equations describing the evolution of respiratory droplets and by using the SARS-CoV-2 virus as an example, we investigated the distribution of airborne virus in human expelled particles from coughing and speaking. More specifically, by calculating the vertical distances traveled by the respiratory droplets, we examined the number of viruses that can remain airborne and the size of particles carrying these airborne viruses after different elapsed times. From a single cough, a person with a high viral load in respiratory fluid (2.35 × 10(9) copies per ml) may generate as many as 1.23 × 10(5) copies of viruses that can remain airborne after 10 seconds, compared to 386 copies of a normal patient (7.00 × 10(6) copies per ml). Masking, however, can effectively block around 94% of the viruses that may otherwise remain airborne after 10 seconds. Our study found that no clear size boundary exists between particles that can settle and can remain airborne. The results from this study challenge the conventional understanding of disease transmission routes through airborne and droplet mechanisms. We suggest that a complete understanding of the respiratory droplet evolution is essential and needed to identify the transmission mechanisms of respiratory diseases. Public Library of Science 2020-10-30 /pmc/articles/PMC7598485/ /pubmed/33125421 http://dx.doi.org/10.1371/journal.pone.0241539 Text en © 2020 Wang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Wang, Yang
Xu, Guang
Huang, Yue-Wern
Modeling the load of SARS-CoV-2 virus in human expelled particles during coughing and speaking
title Modeling the load of SARS-CoV-2 virus in human expelled particles during coughing and speaking
title_full Modeling the load of SARS-CoV-2 virus in human expelled particles during coughing and speaking
title_fullStr Modeling the load of SARS-CoV-2 virus in human expelled particles during coughing and speaking
title_full_unstemmed Modeling the load of SARS-CoV-2 virus in human expelled particles during coughing and speaking
title_short Modeling the load of SARS-CoV-2 virus in human expelled particles during coughing and speaking
title_sort modeling the load of sars-cov-2 virus in human expelled particles during coughing and speaking
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7598485/
https://www.ncbi.nlm.nih.gov/pubmed/33125421
http://dx.doi.org/10.1371/journal.pone.0241539
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