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.
Original language | English |
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Pages (from-to) | 935-978 |
Number of pages | 44 |
Journal | Journal of Mathematical Biology |
Volume | 66 |
Issue number | 4-5 |
Early online date | 28 Aug 2012 |
DOIs | |
Publication status | Published - Mar 2013 |
Keywords
- hepatitis C
- mathematical model
- injecting drug users
- HCV