Author: Lin WANG; Xiang Li
Title: Spatial epidemiology of networked metapopulation: An overview Document date: 2014_6_4
ID: i9tbix2v_25
Snippet: Subsequently, comparing the effect of non-local human anomalous diffusion with that of the ordinary diffusion behavior, Brockmann et al. unraveled that long-range human mobility and interactions generate novel irregular spreading patterns without an apparent wavefront [87] . Such complex dynamical features require a mathematical description of fractional diffusion equations, and they are also well captured by the networked metapopulations. Colizz.....
Document: Subsequently, comparing the effect of non-local human anomalous diffusion with that of the ordinary diffusion behavior, Brockmann et al. unraveled that long-range human mobility and interactions generate novel irregular spreading patterns without an apparent wavefront [87] . Such complex dynamical features require a mathematical description of fractional diffusion equations, and they are also well captured by the networked metapopulations. Colizza et al. [69] developed a global stochastic metapopulation model in, using the data of worldwide scheduled flights and census populations to establish a complete worldwide air transportation network (more than 3000 airports). They studied the predictability and the reliability of the pandemic forecast with respect to the intrinsic stochasticity, and declared that the topological heterogeneity reduces the predictability, whereas author/funder. All rights reserved. No reuse allowed without permission.
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