Computational characterization of inhaled droplet transport to the nasopharynx

被引:42
作者
Basu, Saikat [1 ,2 ]
机构
[1] South Dakota State Univ, Dept Mech Engn, Brookings, SD 57007 USA
[2] Univ N Carolina, Sch Med, Dept Otolaryngol Head & Neck Surg, Chapel Hill, NC 27599 USA
关键词
AIR-FLOW; SARS-COV-2; DEPOSITION; PREDICTIONS; SPEECH;
D O I
10.1038/s41598-021-85765-7
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 mu. 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.
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页数:13
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