Research Article
Optimal Control of Multi-strain Epidemic Processes in Complex Networks
@INPROCEEDINGS{10.1007/978-3-319-67540-4_10, author={Elena Gubar and Quanyan Zhu and Vladislav Taynitskiy}, title={Optimal Control of Multi-strain Epidemic Processes in Complex Networks}, proceedings={Game Theory for Networks. 7th International EAI Conference, GameNets 2017 Knoxville, TN, USA, May 9, 2017, Proceedings}, proceedings_a={GAMENETS}, year={2017}, month={9}, keywords={Bi-virus models Epidemic process Optimal control Structured population}, doi={10.1007/978-3-319-67540-4_10} }- Elena Gubar
Quanyan Zhu
Vladislav Taynitskiy
Year: 2017
Optimal Control of Multi-strain Epidemic Processes in Complex Networks
GAMENETS
Springer
DOI: 10.1007/978-3-319-67540-4_10
Abstract
The emergence of new diseases, such as HIV/AIDS, SARS, and Ebola, represent serious problems for the public health and medical science research to address. Despite the rapid development of vaccines and drugs, one challenge in disease control is the fact that one pathogen sometimes generates many strains with different spreading features. Hence it is of critical importance to investigate multi-strain epidemic dynamics and its associated epidemic control strategies. In this paper, we investigate two controlled multi-strain epidemic models for heterogeneous populations over a large complex network and obtain the structure of optimal control policies for both models. Numerical examples are used to corroborate the analytical results.