Issue |
Math. Model. Nat. Phenom.
Volume 12, Number 5, 2017
Mathematical models in physiology
|
|
---|---|---|
Page(s) | 33 - 47 | |
DOI | https://doi.org/10.1051/mmnp/201712503 | |
Published online | 13 October 2017 |
Dynamics of Hepatitis C Virus Infection: Mathematical Modeling and Parameter Estimation
1
Department of Mathematical Sciences, College of Science, UAE University, Al-Ain 15551, UAE
2
Institute of Public Health, College of Medicine and Health Sciences, UAE University, Al-Ain, UAE
3
Ibnou Zohr University, Polydisciplinary Faculty of Ouarzazate, 638, Ouarzazate, Morocco
* Corresponding author. E-mail: frihan@uaeu.ac.ae
In this paper, we provide a differential mathematical model with non-integer order derivative (fractional-order) to investigate the dynamics of Hepatitis-C Virus (HCV) replication, in presence of interferon-α (IFN) treatment. The fractional-order is considered to represent the intermediate cellular interactions and intracellular delay of the viral life cycle. We mathematically analyze and characterize the steady states and dynamical behavior of the model in presence of interferon-α treatment. 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. We also provide a numerical technique for solving the fractional-order model and fitting the model to real data during treatment. The numerical simulations confirm that the fractional-order differential models have the ability to provide accurate descriptions of nonlinear biological systems with memory. The analyses presented here give an insight to understand the dynamics of HCV infection.
Mathematics Subject Classification: 34 / 34C / 34A08 / 34C60 / 92 / 92C / 92C42 / 65 / 65L05
Key words: Fractional calculus / Hepatitis C virus / Interferon-α / Parameter estimation / Viral dynamics models / Stability
© EDP Sciences, 2017
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.