Dynamics of hepatitis C virus infection

Fathalla A. Rihan; Bassel F. Rihan

Dynamics of hepatitis C virus infection

Fathalla A. Rihan
, Bassel F. Rihan

United Arab Emirates University

Ain Shams University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018
Editors	Hisham Al-Mubaid, Oliver Eulenstein, Qin Ding
Publisher	The International Society for Computers and Their Applications (ISCA)
ISBN (Electronic)	9781943436118
State	Published - 2018
Event	10th International Conference on Bioinformatics and Computational Biology, BICOB 2018 - Las Vegas, United States Duration: 19 Mar 2018 → 21 Mar 2018

Publication series

Name	Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018
Volume	2018-March

Conference

Conference	10th International Conference on Bioinformatics and Computational Biology, BICOB 2018
Country/Territory	United States
City	Las Vegas
Period	19/03/18 → 21/03/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Hepatitis C virus
Interferon-α
Mathematical modeling
Stability
Viral dynamics

Cite this

Rihan, F. A., & Rihan, B. F. (2018). Dynamics of hepatitis C virus infection. In H. Al-Mubaid, O. Eulenstein, & Q. Ding (Eds.), Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018 (Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018; Vol. 2018-March). The International Society for Computers and Their Applications (ISCA).

Rihan, Fathalla A. ; Rihan, Bassel F. / Dynamics of hepatitis C virus infection. Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018. editor / Hisham Al-Mubaid ; Oliver Eulenstein ; Qin Ding. The International Society for Computers and Their Applications (ISCA), 2018. (Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018).

@inproceedings{cecdbcefa9534f23bac658198d98d8c8,

title = "Dynamics of hepatitis C virus infection",

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.",

keywords = "Hepatitis C virus, Interferon-α, Mathematical modeling, Stability, Viral dynamics",

author = "Rihan, \{Fathalla A.\} and Rihan, \{Bassel F.\}",

note = "Publisher Copyright: {\textcopyright} 2018 ISCA, BICOB.; 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018 ; Conference date: 19-03-2018 Through 21-03-2018",

year = "2018",

language = "English",

series = "Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018",

publisher = "The International Society for Computers and Their Applications (ISCA)",

editor = "Hisham Al-Mubaid and Oliver Eulenstein and Qin Ding",

booktitle = "Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018",

}

Rihan, FA & Rihan, BF 2018, Dynamics of hepatitis C virus infection. in H Al-Mubaid, O Eulenstein & Q Ding (eds), Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018. Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018, vol. 2018-March, The International Society for Computers and Their Applications (ISCA), 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018, Las Vegas, United States, 19/03/18.

Dynamics of hepatitis C virus infection. / Rihan, Fathalla A.; Rihan, Bassel F.
Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018. ed. / Hisham Al-Mubaid; Oliver Eulenstein; Qin Ding. The International Society for Computers and Their Applications (ISCA), 2018. (Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018; Vol. 2018-March).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Dynamics of hepatitis C virus infection

AU - Rihan, Fathalla A.

AU - Rihan, Bassel F.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Hepatitis C virus

KW - Interferon-α

KW - Mathematical modeling

KW - Stability

KW - Viral dynamics

UR - https://www.scopus.com/pages/publications/85048526246

M3 - Conference contribution

AN - SCOPUS:85048526246

T3 - Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018

BT - Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018

A2 - Al-Mubaid, Hisham

A2 - Eulenstein, Oliver

A2 - Ding, Qin

PB - The International Society for Computers and Their Applications (ISCA)

T2 - 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018

Y2 - 19 March 2018 through 21 March 2018

ER -

Rihan FA, Rihan BF. Dynamics of hepatitis C virus infection. In Al-Mubaid H, Eulenstein O, Ding Q, editors, Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018. The International Society for Computers and Their Applications (ISCA). 2018. (Proceedings of the 10th International Conference on Bioinformatics and Computational Biology, BICOB 2018).

Dynamics of hepatitis C virus infection

Abstract

Publication series

Conference

UN SDGs

Keywords

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