Dynamics of hepatitis C virus infection

Fathalla A. Rihan, Bassel F. Rihan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Herein, we provide a mathematical model to investigate the dynamics of Hepatitis-C Virus (HCV) replication, in presence of interferon-α (IFN) treatment. We consider a fractional-order in the model to represent the intermediate cellular interactions and intracellular delay of the viral life cycle. We analyze the steady states and dynamical behavior of the model. We deduce a threshold parameter R0 (average number of newly infected cells produced by a single infected cell) in terms of the treatment efficacy parameter 0 ≤ ϵ < 1 and other parameters. The suggested model has the ability to provide accurate descriptions of nonlinear biological systems with memory. The obtained results give an insight to understand the dynamics of HCV infection.

Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018
EditorsHisham Al-Mubaid, Oliver Eulenstein, Qin Ding
PublisherThe International Society for Computers and Their Applications (ISCA)
ISBN (Electronic)9781943436118
Publication statusPublished - 2018
Event10th International Conference on Bioinformatics and Computational Biology, BICOB 2018 - Las Vegas, United States
Duration: Mar 19 2018Mar 21 2018

Publication series

NameProceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018
Volume2018-March

Other

Other10th International Conference on Bioinformatics and Computational Biology, BICOB 2018
Country/TerritoryUnited States
CityLas Vegas
Period3/19/183/21/18

Keywords

  • Hepatitis C virus
  • Interferon-α
  • Mathematical modeling
  • Stability
  • Viral dynamics

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Information Management
  • Computer Science Applications

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