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Hepatitis C Viral Dynamics Using a Combination Therapy of Interferon, Ribavirin, and Telaprevir: Mathematical Modeling and Model Validation

Aston, Philip, Cranfield, Katie, O'Farrell, Haley, Cassenote, Alex, Mendes-Correa, Cassia J, Segurado, Aluisio, Hoang, Phuong, Lankford, George and Tran, Hien (2018) Hepatitis C Viral Dynamics Using a Combination Therapy of Interferon, Ribavirin, and Telaprevir: Mathematical Modeling and Model Validation In: Hepatitis C - From Infection to Cure. IntechOpen, pp. 183-201. ISBN 978-1-78984-208-1

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Abstract

Groundbreaking new drugs called direct acting antivirals have been introduced recently for the treatment of chronic Hepatitis C virus infection.We introduce a mathematical model for Hepatitis C dynamics treated with the direct acting antiviral drug, telaprevir, alongside traditional interferon and ribavirin treatments to understand how this combination therapy affects the viral load of patients exhibiting different types of response.We use sensitivity and identifiability techniques to determine which model parameters can be best estimated from viral load data. Parameter estimationwith these best estimable parameters is then performed to give patient-specific fits of the model to partial virologic response, sustained virologic response and breakthrough patients.

Item Type: Book Section
Divisions : Faculty of Engineering and Physical Sciences > Mathematics
Authors :
NameEmailORCID
Aston, PhilipP.Aston@surrey.ac.uk
Cranfield, Katie
O'Farrell, Haley
Cassenote, Alex
Mendes-Correa, Cassia J
Segurado, Aluisio
Hoang, Phuong
Lankford, George
Tran, Hien
Date : 10 October 2018
DOI : 10.5772/intechopen.75761
Copyright Disclaimer : © 2018 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Uncontrolled Keywords : hepatitis C dynamics; inverse problem; subset selection; sensitivity analysis; identifiability analysis; automatic differentiation
Depositing User : Melanie Hughes
Date Deposited : 23 Oct 2018 08:13
Last Modified : 23 Oct 2018 08:13
URI: http://epubs.surrey.ac.uk/id/eprint/849750

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