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Spatial Pattern Switching Enables Cyclic Evolution in Spatial Epidemics

Infectious diseases often spread as spatial epidemic outbreak waves. A number of model studies have shown that such spatial pattern formation can have important consequences for the evolution of pathogens. Here, we show that such spatial patterns can cause cyclic evolutionary dynamics in selection f...

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Autores principales: Boerlijst, Maarten Chris, van Ballegooijen, Willem Marijn
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3000349/
https://www.ncbi.nlm.nih.gov/pubmed/21151577
http://dx.doi.org/10.1371/journal.pcbi.1001030
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author Boerlijst, Maarten Chris
van Ballegooijen, Willem Marijn
author_facet Boerlijst, Maarten Chris
van Ballegooijen, Willem Marijn
author_sort Boerlijst, Maarten Chris
collection PubMed
description Infectious diseases often spread as spatial epidemic outbreak waves. A number of model studies have shown that such spatial pattern formation can have important consequences for the evolution of pathogens. Here, we show that such spatial patterns can cause cyclic evolutionary dynamics in selection for the length of the infectious period. The necessary reversal in the direction of selection is enabled by a qualitative change in the spatial pattern from epidemic waves to irregular local outbreaks. The spatial patterns are an emergent property of the epidemic system, and they are robust against changes in specific model assumptions. Our results indicate that emergent spatial patterns can act as a rich source for complexity in pathogen evolution.
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spelling pubmed-30003492010-12-13 Spatial Pattern Switching Enables Cyclic Evolution in Spatial Epidemics Boerlijst, Maarten Chris van Ballegooijen, Willem Marijn PLoS Comput Biol Research Article Infectious diseases often spread as spatial epidemic outbreak waves. A number of model studies have shown that such spatial pattern formation can have important consequences for the evolution of pathogens. Here, we show that such spatial patterns can cause cyclic evolutionary dynamics in selection for the length of the infectious period. The necessary reversal in the direction of selection is enabled by a qualitative change in the spatial pattern from epidemic waves to irregular local outbreaks. The spatial patterns are an emergent property of the epidemic system, and they are robust against changes in specific model assumptions. Our results indicate that emergent spatial patterns can act as a rich source for complexity in pathogen evolution. Public Library of Science 2010-12-09 /pmc/articles/PMC3000349/ /pubmed/21151577 http://dx.doi.org/10.1371/journal.pcbi.1001030 Text en This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Boerlijst, Maarten Chris
van Ballegooijen, Willem Marijn
Spatial Pattern Switching Enables Cyclic Evolution in Spatial Epidemics
title Spatial Pattern Switching Enables Cyclic Evolution in Spatial Epidemics
title_full Spatial Pattern Switching Enables Cyclic Evolution in Spatial Epidemics
title_fullStr Spatial Pattern Switching Enables Cyclic Evolution in Spatial Epidemics
title_full_unstemmed Spatial Pattern Switching Enables Cyclic Evolution in Spatial Epidemics
title_short Spatial Pattern Switching Enables Cyclic Evolution in Spatial Epidemics
title_sort spatial pattern switching enables cyclic evolution in spatial epidemics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3000349/
https://www.ncbi.nlm.nih.gov/pubmed/21151577
http://dx.doi.org/10.1371/journal.pcbi.1001030
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