Modeling the spatial spread of infectious diseases: The GLobal Epidemic and Mobility computational model

被引：309

作者：

Balcan, Duygu ^{[1
,2
]}

Goncalves, Bruno ^{[1
,2
]}

Hu, Hao ^{[3
]}

Ramasco, Jose J. ^{[4
]}

Colizza, Vittoria ^{[4
]}

Vespignani, Alessandro ^{[1
,2
,4
]}

机构：

[1] Indiana Univ, Ctr Complex Networks & Syst Res CNetS, Sch Informat & Comp, Bloomington, IN 47408 USA

[2] Indiana Univ, Pervas Technol Inst, Bloomington, IN 47406 USA

[3] Indiana Univ, Dept Phys, Bloomington, IN 47406 USA

[4] Inst Sci Interchange, Computat Epidemiol Lab, Turin, Italy

来源：

JOURNAL OF COMPUTATIONAL SCIENCE | 2010年 / 1卷 / 03期

关键词：

Computational epidemiology; Complex networks; Multiscale phenomena; Human mobility; Infectious diseases; PANDEMIC INFLUENZA; STRATEGIES; NETWORK; TRAVEL;

D O I：

10.1016/j.jocs.2010.07.002

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Here we present the Global Epidemic and Mobility (GLEaM) model that integrates sociodemographic and population mobility data in a spatially structured stochastic disease approach to simulate the spread of epidemics at the worldwide scale. We discuss the flexible structure of the model that is open to the inclusion of different disease structures and local intervention policies. This makes GLEaM suitable for the computational modeling and anticipation of the spatio-temporal patterns of global epidemic spreading, the understanding of historical epidemics, the assessment of the role of human mobility in shaping global epidemics, and the analysis of mitigation and containment scenarios. (C) 2010 Elsevier B.V. All rights reserved.

引用

页码：132 / 145

页数：14

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