Immunization dynamics on a two-layer network model
Abstract
We introduced a two-layer network model for the study of the immunization dynamics in epidemics. Spreading of an epidemic is modeled as an excitatory process in a Watts-Strogatz small-world network (infection layer) while immunization by prevention of the disease as a dynamic process in a Barabási-Albert scale-free network (prevention layer). It is shown that prevention indeed turns periodic rages of an epidemic into small fluctuations, and in a certain situation, 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.
- Publication:
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Physica A Statistical Mechanics and its Applications
- Pub Date:
- March 2006
- DOI:
- 10.1016/j.physa.2005.06.074
- arXiv:
- arXiv:cond-mat/0310372
- Bibcode:
- 2006PhyA..361..534J
- Keywords:
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- Condensed Matter - Disordered Systems and Neural Networks;
- Quantitative Biology - Populations and Evolution
- E-Print:
- 5 pages, 7 figures