Literature DB >> 33758453

Can CFD establish a connection to a milder COVID-19 disease in younger people? Aerosol deposition in lungs of different age groups based on Lagrangian particle tracking in turbulent flow.

Jana Wedel1, Paul Steinmann1,2, Mitja Štrakl3, Matjaž Hriberšek3, Jure Ravnik3.   

Abstract

To respond to the ongoing pandemic of SARS-CoV-2, this contribution deals with recently highlighted COVID-19 transmission through respiratory droplets in form of aerosols. Unlike other recent studies that focused on airborne transmission routes, this work addresses aerosol transport and deposition in a human respiratory tract. The contribution therefore conducts a computational study of aerosol deposition in digital replicas of human airways, which include the oral cavity, larynx and tracheobronchial airways down to the 12th generation of branching. Breathing through the oral cavity allows the air with aerosols to directly impact the larynx and tracheobronchial airways and can be viewed as one of the worst cases in terms of inhalation rate and aerosol load. The implemented computational model is based on Lagrangian particle tracking in Reynolds-Averaged Navier-Stokes resolved turbulent flow. Within this framework, the effects of different flow rates, particle diameters and lung sizes are investigated to enable new insights into local particle deposition behavior and therefore virus loads among selected age groups. We identify a signicant increase of aerosol deposition in the upper airways and thus a strong reduction of virus load in the lower airways for younger individuals. Based on our findings, we propose a possible relation between the younger age related fluid mechanical protection of the lower lung regions due to the airway size and a reduced risk of developing a severe respiratory illness originating from COVID-19 airborne transmission.
© The Author(s) 2021.

Entities:  

Keywords:  Aerosol; CFD; OpenFOAM; SARS-CoV-2

Year:  2021        PMID: 33758453      PMCID: PMC7977503          DOI: 10.1007/s00466-021-01988-5

Source DB:  PubMed          Journal:  Comput Mech        ISSN: 0178-7675            Impact factor:   4.014


  5 in total

1.  Anatomy matters: The role of the subject-specific respiratory tract on aerosol deposition - A CFD study.

Authors:  Jana Wedel; Paul Steinmann; Mitja Štrakl; Matjaž Hriberšek; Yan Cui; Jure Ravnik
Journal:  Comput Methods Appl Mech Eng       Date:  2022-07-28       Impact factor: 6.588

2.  Computer Added Simulation of the Spread of Multidrug-Resistant Bacteria in an Radiation Therapy Shelter Based on Computational Fluid Dynamics.

Authors:  Kuan Wu; Xiadong Li; Xiaoyan Miu; Huichun Feng
Journal:  Comput Math Methods Med       Date:  2022-07-06       Impact factor: 2.809

3.  COVID-19: respiratory disease diagnosis with regularized deep convolutional neural network using human respiratory sounds.

Authors:  Lella Kranthi Kumar; P J A Alphonse
Journal:  Eur Phys J Spec Top       Date:  2022-08-10       Impact factor: 2.891

4.  Risk Assessment of Infection by Airborne Droplets and Aerosols at Different Levels of Cardiovascular Activity.

Authors:  Jana Wedel; Paul Steinmann; Mitja Štrakl; Matjaž Hriberšek; Jure Ravnik
Journal:  Arch Comput Methods Eng       Date:  2021-07-01       Impact factor: 7.302

5.  A Multiscale Approach for the Numerical Simulation of Turbulent Flows with Droplets.

Authors:  Juan M Gimenez; Sergio R Idelsohn; Eugenio Oñate; Rainald Löhner
Journal:  Arch Comput Methods Eng       Date:  2021-06-26       Impact factor: 7.302

  5 in total

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