Natural Human Mobility Patterns and Spatial Spread of Infectious Diseases

We investigate a model for spatial epidemics explicitly taking into account bidirectional movements between base and destination locations on individual mobility networks. We provide a systematic analysis of generic dynamical features of the model on regular and complex metapopulation network topolo...

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Main Authors: Vitaly Belik, Theo Geisel, Dirk Brockmann
Format: Article
Language:English
Published: American Physical Society 2011-08-01
Series:Physical Review X
Online Access:http://doi.org/10.1103/PhysRevX.1.011001
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spelling doaj-72ea93891de04505a3efc5251720f33b2020-11-24T21:51:23ZengAmerican Physical SocietyPhysical Review X2160-33082011-08-011101100110.1103/PhysRevX.1.011001Natural Human Mobility Patterns and Spatial Spread of Infectious DiseasesVitaly BelikTheo GeiselDirk BrockmannWe investigate a model for spatial epidemics explicitly taking into account bidirectional movements between base and destination locations on individual mobility networks. We provide a systematic analysis of generic dynamical features of the model on regular and complex metapopulation network topologies and show that significant dynamical differences exist to ordinary reaction-diffusion and effective force of infection models. On a lattice we calculate an expression for the velocity of the propagating epidemic front and find that, in contrast to the diffusive systems, our model predicts a saturation of the velocity with an increasing traveling rate. Furthermore, we show that a fully stochastic system exhibits a novel threshold for the attack ratio of an outbreak that is absent in diffusion and force of infection models. These insights not only capture natural features of human mobility relevant for the geographical epidemic spread, they may serve as a starting point for modeling important dynamical processes in human and animal epidemiology, population ecology, biology, and evolution.http://doi.org/10.1103/PhysRevX.1.011001
collection DOAJ
language English
format Article
sources DOAJ
author Vitaly Belik
Theo Geisel
Dirk Brockmann
spellingShingle Vitaly Belik
Theo Geisel
Dirk Brockmann
Natural Human Mobility Patterns and Spatial Spread of Infectious Diseases
Physical Review X
author_facet Vitaly Belik
Theo Geisel
Dirk Brockmann
author_sort Vitaly Belik
title Natural Human Mobility Patterns and Spatial Spread of Infectious Diseases
title_short Natural Human Mobility Patterns and Spatial Spread of Infectious Diseases
title_full Natural Human Mobility Patterns and Spatial Spread of Infectious Diseases
title_fullStr Natural Human Mobility Patterns and Spatial Spread of Infectious Diseases
title_full_unstemmed Natural Human Mobility Patterns and Spatial Spread of Infectious Diseases
title_sort natural human mobility patterns and spatial spread of infectious diseases
publisher American Physical Society
series Physical Review X
issn 2160-3308
publishDate 2011-08-01
description We investigate a model for spatial epidemics explicitly taking into account bidirectional movements between base and destination locations on individual mobility networks. We provide a systematic analysis of generic dynamical features of the model on regular and complex metapopulation network topologies and show that significant dynamical differences exist to ordinary reaction-diffusion and effective force of infection models. On a lattice we calculate an expression for the velocity of the propagating epidemic front and find that, in contrast to the diffusive systems, our model predicts a saturation of the velocity with an increasing traveling rate. Furthermore, we show that a fully stochastic system exhibits a novel threshold for the attack ratio of an outbreak that is absent in diffusion and force of infection models. These insights not only capture natural features of human mobility relevant for the geographical epidemic spread, they may serve as a starting point for modeling important dynamical processes in human and animal epidemiology, population ecology, biology, and evolution.
url http://doi.org/10.1103/PhysRevX.1.011001
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