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The Stability Analyses of the Mathematical Models of Hepatitis C Virus Infection
Author(s) -
Maureen Siew Fang Chong,
Masitah Shahrill,
Laurie Crossley,
Anotida Madzvamuse
Publication year - 2015
Publication title -
modern applied science
Language(s) - English
Resource type - Journals
eISSN - 1913-1852
pISSN - 1913-1844
DOI - 10.5539/mas.v9n3p250
Subject(s) - stability (learning theory) , hepatitis c virus , virology , virus , antiviral therapy , mathematical model , mathematics , statistical physics , medicine , computer science , physics , chronic hepatitis , statistics , machine learning
There are two mathematical models of Hepatitis C virus (HCV) being discussed; the original model of HCV viral dynamics (Neumann et al., 1998) and its extended model (Dahari et al., 2007). The key aspects of the mathematical models have provided resources for analysing the stability of the uninfected and the infected steady states, in evaluating the antiviral effectiveness of therapy and for estimating the ranges of values of the parameters for clinical treatment. The original model is considered to be a deterministic model because of the predictive nature of the antiviral therapy within the constant target cells. Numerical simulations are carried out in the extended model, to explain the stability of the steady states in the absence or existence of migration in hepatocytes and, drug efficacy in treating HCV infection.

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