期刊
JOURNAL OF BIOLOGICAL DYNAMICS
卷 17, 期 1, 页码 -出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/17513758.2023.2182373
关键词
Virus spread dynamics; blood flow transport; Stokes flow; Basset force
In this paper, a mathematical model was developed to simulate the transport of viruses in a viscous background flow driven by natural pumping. The model considered two types of respiratory pathogens viruses (SARS-CoV-2 and Influenza A). The virus spread in axial and transverse directions was examined using the Eulerian-Lagrangian approach. Effects of gravity, virtual mass, Basset force, and drag forces on virus transport velocity were studied using the Basset-Boussinesq-Oseen equation. The results highlighted the significant role of forces acting on spherical and non-spherical particles in the virus transmission process. High viscosity was found to slow down virus transport dynamics, while small-sized viruses were identified as highly dangerous and capable of rapid propagation through blood vessels. The mathematical model presented in this study contributes to a better understanding of virus spread dynamics in blood flow.
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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