A Markov model for the spread of Hepatitis C
Probability
2010-02-19 v3
Abstract
We propose a Markov model for the spread of Hepatitis C virus (HCV) among drug users who use injections. We then proceed to an asymptotic analysis (large initial population) and show that the Markov process is close to the solution of a non linear autonomous differential system. We prove both a law of large numbers and functional central limit theorem to precise the speed of convergence towards the limiting system. The deterministic system itself converges, as time goes to infinity, to an equilibrium point. This corroborates the empirical observations about the prevalence of HCV.
Cite
@article{arxiv.0809.1824,
title = {A Markov model for the spread of Hepatitis C},
author = {Laure Coutin and Laurent Decreusefond and Jean-Stephane Dhersin},
journal= {arXiv preprint arXiv:0809.1824},
year = {2010}
}
Comments
New section on sensitivity analysis