Effects of diffusion rates on epidemic spreads in metapopulation networks

Naoki Masuda*

*この研究の対応する著者

研究成果: Article査読

37 被引用数 (Scopus)

抄録

It is often useful to represent the infectious dynamics of mobile agents by metapopulation models. In such a model, metapopulations form a static network, and individuals migrate from one metapopulation to another. It is known that heterogeneous degree distributions of metapopulation networks decrease the epidemic threshold above which epidemic spreads can occur. We investigate the combined effect of heterogeneous degree distributions and diffusion on epidemics in metapopulation networks. We show that for arbitrary heterogeneous networks, diffusion suppresses epidemics in the sense of an increase in the epidemic threshold. On the other hand, some diffusion rates are needed to elicit epidemic spreads on a global scale. As a result of these opposing effects of diffusion, epidemic spreading near the epidemic threshold is most pronounced at an intermediate diffusion rate. The result that diffusion can suppress epidemics contrasts with that for diffusive SIS dynamics and its variants when individuals are fixed at nodes on static networks.

本文言語English
論文番号093009
ジャーナルNew Journal of Physics
12
DOI
出版ステータスPublished - 2010 9月 6
外部発表はい

ASJC Scopus subject areas

  • 物理学および天文学(全般)

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