Computational characterization of inhaled droplet transport to the nasopharynx

Abstract 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 exposu...

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Autor principal:	Saikat Basu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/517d6e3dbc504caab9a12cb3179f71e5
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spelling	oai:doaj.org-article:517d6e3dbc504caab9a12cb3179f71e52021-12-02T11:45:04ZComputational characterization of inhaled droplet transport to the nasopharynx10.1038/s41598-021-85765-72045-2322https://doaj.org/article/517d6e3dbc504caab9a12cb3179f71e52021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85765-7https://doaj.org/toc/2045-2322Abstract 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 $$\upmu $$ μ . 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.Saikat BasuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Saikat Basu Computational characterization of inhaled droplet transport to the nasopharynx
description	Abstract 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 $$\upmu $$ μ . 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	article
author	Saikat Basu
author_facet	Saikat Basu
author_sort	Saikat Basu
title	Computational characterization of inhaled droplet transport to the nasopharynx
title_short	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_sort	computational characterization of inhaled droplet transport to the nasopharynx
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/517d6e3dbc504caab9a12cb3179f71e5
work_keys_str_mv	AT saikatbasu computationalcharacterizationofinhaleddroplettransporttothenasopharynx
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Computational characterization of inhaled droplet transport to the nasopharynx

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