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A time since onset of injection model for hepatitis C spread amongst injecting drug users

Corson, Stephen and Greenhalgh, David and Hutchinson, Sharon (2012) A time since onset of injection model for hepatitis C spread amongst injecting drug users. Journal of Mathematical Biology, 66 (4-5). pp. 935-978. ISSN 0303-6812

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Abstract

Studies of hepatitis C virus (HCV) infection amongst injecting drug users (IDUs) have suggested that this population can be separated into two risk groups (naive and experienced) with different injecting risk behaviours. Understanding the differences between these two groups and how they interact could lead to a better allocation of prevention measures designed to reduce the burden of HCV in this population. In this paper we develop a deterministic, compartmental mathematical model for the spread of HCV in an IDU population that has been separated into two groups (naive and experienced) by time since onset of injection. We will first describe the model. After deriving the system of governing equations, we will examine the basic reproductive number R0, the existence and uniqueness of equilibrium solutions and the global stability of the disease free equilibrium (DFE) solution. The model behaviour is determined by the basic reproductive number, with R0=1 a critical threshold for endemic HCV prevalence. We will show that when R01, and HCV is initially present in the population, the system will tend towards the globally asymptotically stable DFE where HCV has been eliminated from the population. We also show that when R01 there exists a unique non-zero equilibrium solution. Then we estimate the value of R0 from epidemiological data for Glasgow and verify our theoretical results using simulations with realistic parameter values. The numerical results suggest that if R01 and the disease is initially present then the system will tend to the unique endemic equilibrium.

Item type: Article
ID code: 41313
Keywords: time since onset of injection, Hepatitis C, injecting drug users, basic reproductive number, HCV, mathematical model, Probabilities. Mathematical statistics, Pharmacy and materia medica, Modelling and Simulation, Applied Mathematics, Agricultural and Biological Sciences (miscellaneous)
Subjects: Science > Mathematics > Probabilities. Mathematical statistics
Medicine > Pharmacy and materia medica
Department: Faculty of Science > Mathematics and Statistics
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 01 Oct 2012 15:57
    Last modified: 27 Mar 2014 10:31
    URI: http://strathprints.strath.ac.uk/id/eprint/41313

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