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Frequency: Quarterly
ISSN: 1553-6203 (Print)
ISSN: 1558-6340 (Online)
Research Article Open Access

Virus Dynamics in Vivo

Guang Wu1 and Shaomin Yan1
  • 1 Guangdong Province, China

Abstract

In this study, we model the interaction among antibody, virus, host cell, immune cell and normal cell as random collisions, because antibody and virus are unlikely to have efficient driving systems. Then we use the model II of waiting times to analyze the collision between antibody and virus with a certain number of normal cells, and use the Monte-Carlo simulation to analyze the random collision process with respect to different numbers of viruses, antibodies, normal, immune and host cells, and whether normal and host cells are fixed or free to move. Finally, we estimate the ratio of antibodies to viruses, which can prevent the host cells from virus infection at two endpoints, by means of the Monte Carlo simulation.

American Journal of Infectious Diseases
Volume 1 No. 4, 2005, 156-161

DOI: https://doi.org/10.3844/ajidsp.2005.156.161

Submitted On: 15 August 2005 Published On: 31 December 2005

How to Cite: Wu, G. & Yan, S. (2005). Virus Dynamics in Vivo. American Journal of Infectious Diseases, 1(4), 156-161. https://doi.org/10.3844/ajidsp.2005.156.161

Open AccessCopyright: © 2005 Guang Wu and Shaomin Yan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Antibody
  • dynamics
  • Monte Carlo simulation
  • Lanchester (Osipov) equation
  • random collision
  • Virus