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Computational characterization of inhaled droplet transport to the nasopharynx
How human respiratory physiology and the transport phenomena associated with inhaled airflow in the upper airway proceed to impact transmission of SARS-CoV-2, leading to the initial infection, stays an open question. An answer can help determine the susceptibility of an individual on exposure to a C...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988116/ https://www.ncbi.nlm.nih.gov/pubmed/33758241 http://dx.doi.org/10.1038/s41598-021-85765-7 |
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author | Basu, Saikat |
author_facet | Basu, Saikat |
author_sort | Basu, Saikat |
collection | PubMed |
description | How human respiratory physiology and the transport phenomena associated with inhaled airflow in the upper airway proceed to impact transmission of SARS-CoV-2, leading to the initial infection, stays an open question. An answer can help determine the susceptibility of an individual on exposure to a COVID-2019 carrier and can also provide a preliminary projection of the still-unknown infectious dose for the disease. Computational fluid mechanics enabled tracking of respiratory transport in medical imaging-based anatomic domains shows that the regional deposition of virus-laden inhaled droplets at the initial nasopharyngeal infection site peaks for the droplet size range of approximately 2.5–19 [Formula: see text] . Through integrating the numerical findings on inhaled transmission with sputum assessment data from hospitalized COVID-19 patients and earlier measurements of ejecta size distribution generated during regular speech, this study further reveals that the number of virions that may go on to establish the SARS-CoV-2 infection in a subject could merely be in the order of hundreds. |
format | Online Article Text |
id | pubmed-7988116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-79881162021-03-25 Computational characterization of inhaled droplet transport to the nasopharynx Basu, Saikat Sci Rep Article How human respiratory physiology and the transport phenomena associated with inhaled airflow in the upper airway proceed to impact transmission of SARS-CoV-2, leading to the initial infection, stays an open question. An answer can help determine the susceptibility of an individual on exposure to a COVID-2019 carrier and can also provide a preliminary projection of the still-unknown infectious dose for the disease. Computational fluid mechanics enabled tracking of respiratory transport in medical imaging-based anatomic domains shows that the regional deposition of virus-laden inhaled droplets at the initial nasopharyngeal infection site peaks for the droplet size range of approximately 2.5–19 [Formula: see text] . Through integrating the numerical findings on inhaled transmission with sputum assessment data from hospitalized COVID-19 patients and earlier measurements of ejecta size distribution generated during regular speech, this study further reveals that the number of virions that may go on to establish the SARS-CoV-2 infection in a subject could merely be in the order of hundreds. Nature Publishing Group UK 2021-03-23 /pmc/articles/PMC7988116/ /pubmed/33758241 http://dx.doi.org/10.1038/s41598-021-85765-7 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Basu, Saikat Computational characterization of inhaled droplet transport to the nasopharynx |
title | Computational characterization of inhaled droplet transport to the nasopharynx |
title_full | Computational characterization of inhaled droplet transport to the nasopharynx |
title_fullStr | Computational characterization of inhaled droplet transport to the nasopharynx |
title_full_unstemmed | Computational characterization of inhaled droplet transport to the nasopharynx |
title_short | Computational characterization of inhaled droplet transport to the nasopharynx |
title_sort | computational characterization of inhaled droplet transport to the nasopharynx |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7988116/ https://www.ncbi.nlm.nih.gov/pubmed/33758241 http://dx.doi.org/10.1038/s41598-021-85765-7 |
work_keys_str_mv | AT basusaikat computationalcharacterizationofinhaleddroplettransporttothenasopharynx |