Title: The impact of vaccine failure rate on epidemic dynamics in responsive networks
Authors: Liang, Yu-Hao
Juang, Jonq
Department of Applied Mathematics
Graduate Program of Mathematical Modeling and Scientific Computing, Department of Applied Mathematics
Issue Date: 1-Apr-2015
Abstract: An SIS model based on the microscopic Markov-chain approximation is considered in this paper. It is assumed that the individual vaccination behavior depends on the contact awareness, local and global information of an epidemic. To better simulate the real situation, the vaccine failure rate is also taken into consideration. Our main conclusions are given in the following. First, we show that if the vaccine failure rate alpha is zero, then the epidemic eventually dies out regardless of what the network structure is or how large the effective spreading rate and the immunization response rates of an epidemic are. Second, we show that for any positive alpha, there exists a positive epidemic threshold depending on an adjusted network structure, which is only determined by the structure of the original network, the positive vaccine failure rate and the immunization response rate for contact awareness. Moreover, the epidemic threshold increases with respect to the strength of the immunization response rate for contact awareness. Finally, if the vaccine failure rate and the immunization response rate for contact awareness are positive, then there exists a critical vaccine failure rate alpha(c) > 0 so that the disease free equilibrium (DFE) is stable (resp., unstable) if alpha < alpha(c) (resp., alpha > alpha(c)). Numerical simulations to see the effectiveness of our theoretical results are also provided. (C) 2015 AIP Publishing LLC.
URI: http://dx.doi.org/10.1063/1.4919245
ISSN: 1054-1500
DOI: 10.1063/1.4919245
Journal: CHAOS
Volume: 25
Appears in Collections:Articles