Abstract
In this paper, an SIR model with birth and death on complex networks is analyzed, where infected individuals are divided into m groups according to their infection and contact between human is treated as a scale-free social network. We obtain the basic reproduction number R0 as well as the effects of various immunization schemes. The results indicate that the disease-free equilibrium is locally and globally asymptotically stable in some conditions, otherwise disease-free equilibrium is unstable and exists an unique endemic equilibrium that is globally asymptotically stable. Our theoretical results are confirmed by numerical simulations and a promising way for infectious diseases control is suggested.
| Original language | English |
|---|---|
| Pages (from-to) | 443-456 |
| Number of pages | 14 |
| Journal | Physica A: Statistical Mechanics and its Applications |
| Volume | 499 |
| DOIs | |
| Publication status | Published - 1 Jun 2018 |
Keywords
- Complex networks
- Differential infectivity
- Global stability
- SIR model
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