The modeling of global epidemics: Stochastic dynamics and predictability

被引：86

作者：

Colizza V. ^{[1
]}

Barrat A. ^{[2
]}

Barthélemy M. ^{[1
,3
]}

Vespignani A. ^{[1
]}

机构：

[1] School of Informatics, Center for Biocomplexity, Indiana University, Bloomington

[2] Unité Mixte de Recherche du CNRS 8627, LPT, Université de Paris-Sud

来源：

Bulletin of Mathematical Biology | 2006年 / 68卷 / 8期

关键词：

Complex networks; Epidemiology;

D O I：

10.1007/s11538-006-9077-9

中图分类号：

学科分类号：

摘要：

The global spread of emergent diseases is inevitably entangled with the structure of the population flows among different geographical regions. The airline transportation network in particular shrinks the geographical space by reducing travel time between the world's most populated areas and defines the main channels along which emergent diseases will spread. In this paper, we investigate the role of the large-scale properties of the airline transportation network in determining the global propagation pattern of emerging diseases. We put forward a stochastic computational framework for the modeling of the global spreading of infectious diseases that takes advantage of the complete International Air Transport Association 2002 database complemented with census population data. The model is analyzed by using for the first time an information theory approach that allows the quantitative characterization of the heterogeneity level and the predictability of the spreading pattern in presence of stochastic fluctuations. In particular we are able to assess the reliability of numerical forecast with respect to the intrinsic stochastic nature of the disease transmission and travel flows. The epidemic pattern predictability is quantitatively determined and traced back to the occurrence of epidemic pathways defining a backbone of dominant connections for the disease spreading. The presented results provide a general computational framework for the analysis of containment policies and risk forecast of global epidemic outbreaks. © 2006 Springer Science+Business Media, Inc.

引用

页码：1893 / 1921

页数：28

共 38 条

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