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Spatial epidemiology of networked metapopulation: an overview

An emerging disease is one infectious epidemic caused by a newly transmissible pathogen, which has either appeared for the first time or already existed in human populations, having the capacity to increase rapidly in incidence as well as geographic range. Adapting to human immune system, emerging d...

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Detalles Bibliográficos
Autores principales: Wang, Lin, Li, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Science China Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088704/
https://www.ncbi.nlm.nih.gov/pubmed/32214746
http://dx.doi.org/10.1007/s11434-014-0499-8
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author Wang, Lin
Li, Xiang
author_facet Wang, Lin
Li, Xiang
author_sort Wang, Lin
collection PubMed
description An emerging disease is one infectious epidemic caused by a newly transmissible pathogen, which has either appeared for the first time or already existed in human populations, having the capacity to increase rapidly in incidence as well as geographic range. Adapting to human immune system, emerging diseases may trigger large-scale pandemic spreading, such as the transnational spreading of SARS, the global outbreak of A(H1N1), and the recent potential invasion of avian influenza A(H7N9). To study the dynamics mediating the transmission of emerging diseases, spatial epidemiology of networked metapopulation provides a valuable modeling framework, which takes spatially distributed factors into consideration. This review elaborates the latest progresses on the spatial metapopulation dynamics, discusses empirical and theoretical findings that verify the validity of networked metapopulations, and the sketches application in evaluating the effectiveness of disease intervention strategies as well.
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spelling pubmed-70887042020-03-23 Spatial epidemiology of networked metapopulation: an overview Wang, Lin Li, Xiang Chin Sci Bull Invited Review An emerging disease is one infectious epidemic caused by a newly transmissible pathogen, which has either appeared for the first time or already existed in human populations, having the capacity to increase rapidly in incidence as well as geographic range. Adapting to human immune system, emerging diseases may trigger large-scale pandemic spreading, such as the transnational spreading of SARS, the global outbreak of A(H1N1), and the recent potential invasion of avian influenza A(H7N9). To study the dynamics mediating the transmission of emerging diseases, spatial epidemiology of networked metapopulation provides a valuable modeling framework, which takes spatially distributed factors into consideration. This review elaborates the latest progresses on the spatial metapopulation dynamics, discusses empirical and theoretical findings that verify the validity of networked metapopulations, and the sketches application in evaluating the effectiveness of disease intervention strategies as well. Science China Press 2014-07-19 2014 /pmc/articles/PMC7088704/ /pubmed/32214746 http://dx.doi.org/10.1007/s11434-014-0499-8 Text en © Science China Press and Springer-Verlag Berlin Heidelberg 2014 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Invited Review
Wang, Lin
Li, Xiang
Spatial epidemiology of networked metapopulation: an overview
title Spatial epidemiology of networked metapopulation: an overview
title_full Spatial epidemiology of networked metapopulation: an overview
title_fullStr Spatial epidemiology of networked metapopulation: an overview
title_full_unstemmed Spatial epidemiology of networked metapopulation: an overview
title_short Spatial epidemiology of networked metapopulation: an overview
title_sort spatial epidemiology of networked metapopulation: an overview
topic Invited Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7088704/
https://www.ncbi.nlm.nih.gov/pubmed/32214746
http://dx.doi.org/10.1007/s11434-014-0499-8
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