Open AccessThe impact of media converge on complex networks on disease transmission
Author(s) -
Mao Xing Liu,
Shu Shu He,
Yongzheng Sun
Publication year - 2019
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2019316
Subject(s) - transmission (telecommunications) , disease transmission , computer science , econometrics , mathematics , mathematical optimization , mathematical economics , statistical physics , biology , telecommunications , physics , virology
In this paper, we propose an epidemic disease model about the effect of media coverage on complex networks, where the contacts between nodes are treated as a social network. We calculate the basic reproduction number R 0 and get that the disease-free equilibrium is locally and globally asymptotically stable if R 0 < 1, otherwise disease-free equilibrium is unstable and there exists a unique endemic equilibrium, and the disease is permanent. And two immunization strategies are considered: proportional and target immunization. By comparing two immunization strategies, it is found that the target immunization is better than the proportional immunization. Finally, numerical simulations verify our results and some discussions of vaccination strategies are done in the control of infectious dseases.