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Modeling and simulation of the infection zone from a cough

The pandemic of 2020 has led to a huge interest of modeling and simulation of infectious diseases. One of the central questions is the potential infection zone produced by a cough. In this paper, mathematical models are developed to simulate the progressive time-evolution of the distribution of loca...

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Autor principal: Zohdi, T. I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351557/
https://www.ncbi.nlm.nih.gov/pubmed/32836596
http://dx.doi.org/10.1007/s00466-020-01875-5
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author Zohdi, T. I.
author_facet Zohdi, T. I.
author_sort Zohdi, T. I.
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description The pandemic of 2020 has led to a huge interest of modeling and simulation of infectious diseases. One of the central questions is the potential infection zone produced by a cough. In this paper, mathematical models are developed to simulate the progressive time-evolution of the distribution of locations of particles produced by a cough. Analytical and numerical studies are undertaken. The models ascertain the range, distribution and settling time of the particles under the influence of gravity and drag from the surrounding air. Beyond qualitative trends that illustrate that large particles travel far and settle quickly, while small particles do not travel far and settle slowly, the models provide quantitative results for distances travelled and settling times, which are needed for constructing social distancing policies and workplace protocols.
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spelling pubmed-73515572020-07-13 Modeling and simulation of the infection zone from a cough Zohdi, T. I. Comput Mech Original Paper The pandemic of 2020 has led to a huge interest of modeling and simulation of infectious diseases. One of the central questions is the potential infection zone produced by a cough. In this paper, mathematical models are developed to simulate the progressive time-evolution of the distribution of locations of particles produced by a cough. Analytical and numerical studies are undertaken. The models ascertain the range, distribution and settling time of the particles under the influence of gravity and drag from the surrounding air. Beyond qualitative trends that illustrate that large particles travel far and settle quickly, while small particles do not travel far and settle slowly, the models provide quantitative results for distances travelled and settling times, which are needed for constructing social distancing policies and workplace protocols. Springer Berlin Heidelberg 2020-07-10 2020 /pmc/articles/PMC7351557/ /pubmed/32836596 http://dx.doi.org/10.1007/s00466-020-01875-5 Text en © Springer-Verlag GmbH Germany, part of Springer Nature 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Paper
Zohdi, T. I.
Modeling and simulation of the infection zone from a cough
title Modeling and simulation of the infection zone from a cough
title_full Modeling and simulation of the infection zone from a cough
title_fullStr Modeling and simulation of the infection zone from a cough
title_full_unstemmed Modeling and simulation of the infection zone from a cough
title_short Modeling and simulation of the infection zone from a cough
title_sort modeling and simulation of the infection zone from a cough
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7351557/
https://www.ncbi.nlm.nih.gov/pubmed/32836596
http://dx.doi.org/10.1007/s00466-020-01875-5
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