Optimal control of multi-strain epidemic processes in complex networks

Elena Gubar; Quanyan Zhu; Vladislav Taynitskiy

doi:10.1007/978-3-319-67540-4_10

Optimal control of multi-strain epidemic processes in complex networks

Elena Gubar, Quanyan Zhu, Vladislav Taynitskiy

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	Game Theory for Networks - 7th International EAI Conference, GameNets 2017, Proceedings
Editors	Rachid Elazouzi, Xu Chen, Lingjie Duan, Anibal Sanjab, Donatello Materassi, Husheng Li
Publisher	Springer Verlag
Pages	108-117
Number of pages	10
ISBN (Print)	9783319675398
DOIs	https://doi.org/10.1007/978-3-319-67540-4_10
State	Published - 2017
Event	7th EAI International Conference on Game Theory for Networks, GameNets 2017 - Knoxville, United States Duration: May 9 2017 → May 9 2017

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	212
ISSN (Print)	1867-8211

Other

Other	7th EAI International Conference on Game Theory for Networks, GameNets 2017
Country/Territory	United States
City	Knoxville
Period	5/9/17 → 5/9/17

Keywords

Bi-virus models
Epidemic process
Optimal control
Structured population

ASJC Scopus subject areas

Computer Networks and Communications

Access to Document

10.1007/978-3-319-67540-4_10

Cite this

Gubar, E., Zhu, Q., & Taynitskiy, V. (2017). Optimal control of multi-strain epidemic processes in complex networks. In R. Elazouzi, X. Chen, L. Duan, A. Sanjab, D. Materassi, & H. Li (Eds.), Game Theory for Networks - 7th International EAI Conference, GameNets 2017, Proceedings (pp. 108-117). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 212). Springer Verlag. https://doi.org/10.1007/978-3-319-67540-4_10

Optimal control of multi-strain epidemic processes in complex networks. / Gubar, Elena; Zhu, Quanyan; Taynitskiy, Vladislav.
Game Theory for Networks - 7th International EAI Conference, GameNets 2017, Proceedings. ed. / Rachid Elazouzi; Xu Chen; Lingjie Duan; Anibal Sanjab; Donatello Materassi; Husheng Li. Springer Verlag, 2017. p. 108-117 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 212).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Gubar, E, Zhu, Q & Taynitskiy, V 2017, Optimal control of multi-strain epidemic processes in complex networks. in R Elazouzi, X Chen, L Duan, A Sanjab, D Materassi & H Li (eds), Game Theory for Networks - 7th International EAI Conference, GameNets 2017, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 212, Springer Verlag, pp. 108-117, 7th EAI International Conference on Game Theory for Networks, GameNets 2017, Knoxville, United States, 5/9/17. https://doi.org/10.1007/978-3-319-67540-4_10

Gubar E, Zhu Q, Taynitskiy V. Optimal control of multi-strain epidemic processes in complex networks. In Elazouzi R, Chen X, Duan L, Sanjab A, Materassi D, Li H, editors, Game Theory for Networks - 7th International EAI Conference, GameNets 2017, Proceedings. Springer Verlag. 2017. p. 108-117. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-67540-4_10

Gubar, Elena ; Zhu, Quanyan ; Taynitskiy, Vladislav. / Optimal control of multi-strain epidemic processes in complex networks. Game Theory for Networks - 7th International EAI Conference, GameNets 2017, Proceedings. editor / Rachid Elazouzi ; Xu Chen ; Lingjie Duan ; Anibal Sanjab ; Donatello Materassi ; Husheng Li. Springer Verlag, 2017. pp. 108-117 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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Optimal control of multi-strain epidemic processes in complex networks

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Keywords

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