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Investigation of Coronavirus Deposition in Realistic Human Nasal Cavity and Impact of Social Distancing to Contain COVID-19: A Computational Fluid Dynamic Approach

Mohammad Zuber1, John Valerian Corda1, Milad Ahmadi2, B. Satish Shenoy1, Irfan Anjum Badruddin3,*, Ali E. Anqi3, Kamarul Arifin Ahmad4, S. M. Abdul Khader5, Leslie Lewis6, Mohammad Anas Khan7, Sarfaraz Kamangar3

1 Department of Aeronautical & Automobile Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India
2 Department of Mechanics of Solids, Surfaces and Systems, Faculty of Engineering Technology, University of Twente, Enschede, 7522, The Netherlands
3 Mechanical Engineering Department, College of Engineering, King Khalid University, Abha, 61421, Saudi Arabia
4 Department of Aerospace Engineering, Universiti Putra Malaysia, Serdang, 43400, Malaysia
5 Department of Mechanical and Manufacturing Engineering, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal, 576104, India
6 Department of Paediatrics, Kasturba Medical College & Hospital, Manipal, 576104, India
7 Department of Mechanical Engineering, Jamia Millia Islamia, Delhi, 110025, India

* Corresponding Author: Irfan Anjum Badruddin. Email: email

(This article belongs to the Special Issue: Computer Modelling of Transmission, Spread, Control and Diagnosis of COVID-19)

Computer Modeling in Engineering & Sciences 2020, 125(3), 1185-1199. https://doi.org/10.32604/cmes.2020.015015

Abstract

The novel coronavirus responsible for COVID-19 has spread to several countries within a considerably short period. The virus gets deposited in the human nasal cavity and moves to the lungs that might be fatal. As per safety guidelines by the World Health Organization (WHO), social distancing has emerged as one of the major factors to avoid the spread of infection. However, different guidelines are being followed across the countries with regards to what should be the safe distance. Thus, the current work is an attempt to understand the virus deposition pattern in the realistic human nasal cavity and also to find the impact of distance that could be termed as a safety measure. This study is performed using Computational Fluid Dynamics as a solution tool to investigate the impact of COVID-19 deposition (i) On a realistic 3D human upper airway model and (ii) 2D social distancing protocol for a distance of 0.6, 1.2, 1.8, and 2.4 m. The results revealed that the regional deposition flux within the nasal cavity was predominantly observed in the external nasal cavity and nasopharyngeal section. Frequent flushing of these regions with saltwater substitutes can limit contamination in healthy individuals. The safe distancing limit estimated with 1 m/s airflow was about 1.8 m. The extensive deposition was observed for distances less than 1.8 m in this study, emphasizing the fact that social distancing advisories are not useful and do not take into account the external dynamics associated with airflow.

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APA Style
Zuber, M., Corda, J.V., Ahmadi, M., Shenoy, B.S., Badruddin, I.A. et al. (2020). Investigation of coronavirus deposition in realistic human nasal cavity and impact of social distancing to contain COVID-19: A computational fluid dynamic approach. Computer Modeling in Engineering & Sciences, 125(3), 1185-1199. https://doi.org/10.32604/cmes.2020.015015
Vancouver Style
Zuber M, Corda JV, Ahmadi M, Shenoy BS, Badruddin IA, Anqi AE, et al. Investigation of coronavirus deposition in realistic human nasal cavity and impact of social distancing to contain COVID-19: A computational fluid dynamic approach. Comput Model Eng Sci. 2020;125(3):1185-1199 https://doi.org/10.32604/cmes.2020.015015
IEEE Style
M. Zuber et al., “Investigation of Coronavirus Deposition in Realistic Human Nasal Cavity and Impact of Social Distancing to Contain COVID-19: A Computational Fluid Dynamic Approach,” Comput. Model. Eng. Sci., vol. 125, no. 3, pp. 1185-1199, 2020. https://doi.org/10.32604/cmes.2020.015015

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cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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