Immunization Dynamics on a 2-layer Network Model
Disordered Systems and Neural Networks
2007-05-23 v1 Populations and Evolution
Abstract
We introduce a 2-layer network model for the study of the immunization dynamics in epidemics. Spreading of an epidemic is modeled as an excitatory process in a small-world network (body layer) while immunization by prevention for the disease as a dynamic process in a scale-free network (head layer). It is shown that prevention indeed turns periodic rages of an epidemic into small fluctuation. The study also reveals that, in a certain situation, prevention actually plays an adverse role and helps the disease survive. We argue that the presence of two different characteristic time scales contributes to the immunization dynamics observed.
Cite
@article{arxiv.cond-mat/0310372,
title = {Immunization Dynamics on a 2-layer Network Model},
author = {Hang-Hyun Jo and Hie-Tae Moon and Seung Ki Baek},
journal= {arXiv preprint arXiv:cond-mat/0310372},
year = {2007}
}
Comments
5 pages, 7 figures