Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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 |
---|---|
Title of host publication | Game Theory for Networks - 7th International EAI Conference, GameNets 2017, Proceedings |
Place of Publication | Springer International Publishing |
Publisher | Springer Nature |
Pages | 108-117 |
Number of pages | 10 |
Volume | 212 |
ISBN (Electronic) | 978-3-319-67540-4 |
ISBN (Print) | 978-3-319-67539-8 |
DOIs | |
State | Published - 2017 |
Event | 7th EAI International Conference on Game Theory for Networks, GameNets 2017 - Knoxville, United States Duration: 8 May 2017 → 8 May 2017 |
Name | Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST |
---|---|
Volume | 212 |
ISSN (Print) | 1867-8211 |
Conference | 7th EAI International Conference on Game Theory for Networks, GameNets 2017 |
---|---|
Country/Territory | United States |
City | Knoxville |
Period | 8/05/17 → 8/05/17 |
ID: 9170251