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Modeling virus transport and dynamics in viscous flow medium.
Tripathi, Dharmendra; Bhandari, Dinesh; Kumar, Rakesh; Aboelkassem, Yasser.
  • Tripathi D; Department of Mathematics, National Institute of Technology Uttarakhand, Srinagar, India.
  • Bhandari D; Department of Mathematics, National Institute of Technology Uttarakhand, Srinagar, India.
  • Kumar R; Department of Mechanical Engineering, Manipal University, Manipal, India.
  • Aboelkassem Y; College of Innovation and Technology, University of Michigan, Flint, MI, USA.
J Biol Dyn ; 17(1): 2182373, 2023 12.
Article in English | MEDLINE | ID: covidwho-2284511
ABSTRACT
In this paper, we developed a mathematical model to simulate virus transport through a viscous background flow driven by the natural pumping mechanism. Two types of respiratory pathogens viruses (SARS-Cov-2 and Influenza-A) are considered in this model. The Eulerian-Lagrangian approach is adopted to examine the virus spread in axial and transverse directions. The Basset-Boussinesq-Oseen equation is considered to study the effects of gravity, virtual mass, Basset force, and drag forces on the viruses transport velocity. The results indicate that forces acting on the spherical and non-spherical particles during the motion play a significant role in the transmission process of the viruses. It is observed that high viscosity is responsible for slowing the virus transport dynamics. Small sizes of viruses are found to be highly dangerous and propagate rapidly through the blood vessels. Furthermore, the present mathematical model can help to better understand the viruses spread dynamics in a blood flow.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Limits: Humans Language: English Journal: J Biol Dyn Journal subject: Biology Year: 2023 Document Type: Article Affiliation country: 17513758.2023.2182373

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Limits: Humans Language: English Journal: J Biol Dyn Journal subject: Biology Year: 2023 Document Type: Article Affiliation country: 17513758.2023.2182373