Immunization Dynamics on a 2-layer Network Model

Physics – Condensed Matter – Disordered Systems and Neural Networks

Scientific paper

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5 pages, 7 figures

Scientific paper

10.1016/j.physa.2005.06.074

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.

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