期刊
JOURNAL OF NONLINEAR SCIENCE
卷 23, 期 1, 页码 113-127出版社
SPRINGER
DOI: 10.1007/s00332-012-9146-1
关键词
Complex networks; Epidemic dynamics; Linear stability analysis; Superinfection
This paper considers the epidemiology of two strains (I,J) of a disease spreading through a population represented by a scale-free network. The epidemiological model is SIS and the two strains have different reproductive numbers. Superinfection means that strain I can infect individuals already infected with strain J, replacing the strain J infection. Individuals infected with strain I cannot be infected with strain J. The model is set up as a system of ordering differential equations and stability of the disease free, marginal strain I and strain J, and coexistence equilibria are assessed using linear stability analysis, supported by simulations. The main conclusion is that superinfection, as modeled in this paper, can allow strain I to coexist with strain J even when it has a lower basic reproductive number. Most strikingly, it can allow strain I to persist even when its reproductive number is less than 1.
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