- Phase transition in spatial epidemics using cellular automata with noise
- 点击次数：
- 发表刊物：ECOLOGICAL RESEARCH
- 关键字：Cellular automata; Noise; Epidemiology; Coherence resonance; Extinction
- 摘要：One of the central issues in studying the complex population patterns observed in nature is the role of stochasticity. In this paper, the effects of additive spatiotemporal random variations-noise-are introduced to an epidemic model. The no-noise model exhibits a phase transition from a disease-free state to an endemic state. However, this phase transition can revert in a resonance-like manner depending on noise intensity when introducing nonzero random variations to the model. On the other hand, given a regime where disease can persist, noise can induce disappearance of the phase transition. The results obtained show that noise plays a tremendous role in the spread of the disease state, which has implications for how we try to prevent, and eventually eradicate, disease.
- 全部作者： Song Li-Peng, Chakraborty Amit, Li Bai-Lian
- 第一作者：Sun Gui-Quan
- 通讯作者：Jin Zhen
- 卷号：26
- 期号：2
- 页面范围：333-340
- ISSN号：0912-3814
- 是否译文：否
- 发表时间：2011-05-01
