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Article: Universal trends in human cough airflows at large distances.

Prasanna Simha, Padmanabha / Mohan Rao, Prasanna Simha

Physics of fluids (Woodbury, N.Y. : 1994)

2020  Volume 32, Issue 8, Page(s) 81905

Abstract: Coughs are one of the primary means of transmission of diseases such as influenza and SARS-CoV-2 (COVID-19). Disease spreading occurs by the expulsion of pathogen containing aerosol droplets. Fine droplets can pass through layers of masks and are carried ...

Abstract Coughs are one of the primary means of transmission of diseases such as influenza and SARS-CoV-2 (COVID-19). Disease spreading occurs by the expulsion of pathogen containing aerosol droplets. Fine droplets can pass through layers of masks and are carried away by the exhaled airflow unlike larger droplets that settle down due to gravity. Hence, it is important to quantitatively assess the maximum distance of travel of typical human coughs with and without different types of masks. Even though near field data are available near the mouth, far field data are scarce. In this study, the schlieren method that is a highly sensitive, non-intrusive flow visualization technique is used. It can directly image weak density gradients produced by coughs. An assessment of different methods of covering the mouth while coughing is arrived at by using observations from high speed schlieren images. The effectiveness of coughing into the elbow is examined. The velocity of propagation of coughs and the distance of propagation with and without masks are quantified. It is also found that normalizing the distance-velocity profiles causes all the data to collapse onto a universal non-dimensional curve irrespective of the usage of different types of masks or test subjects. Visualization of cough flow fields and analysis of experimental data reveal that the flow physics is governed by the propagation of viscous vortex rings.
Keywords covid19
Language English
Publishing date 2020-08-25
Publishing country United States
Document type Journal Article
ZDB-ID 1472743-2
ISSN 1089-7666 ; 1070-6631
ISSN (online) 1089-7666
ISSN 1070-6631
DOI 10.1063/5.0021666
Database MEDical Literature Analysis and Retrieval System OnLINE

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