Balancing capacity and epidemic spread in the global airline network

Abstract The structure of complex networks has long been understood to play a role in transmission and spreading phenomena on a graph. Such networks form an important part of the structure of society, including transportation networks. As society fights to control the COVID-19 pandemic, an important...

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Autores principales: Robert Harper, Philip Tee
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Lenguaje:EN
Publicado: SpringerOpen 2021
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Acceso en línea:https://doaj.org/article/8754e08ce81d46bf9ce2e4051c1029c8
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spelling oai:doaj.org-article:8754e08ce81d46bf9ce2e4051c1029c82021-11-28T12:10:03ZBalancing capacity and epidemic spread in the global airline network10.1007/s41109-021-00432-02364-8228https://doaj.org/article/8754e08ce81d46bf9ce2e4051c1029c82021-11-01T00:00:00Zhttps://doi.org/10.1007/s41109-021-00432-0https://doaj.org/toc/2364-8228Abstract The structure of complex networks has long been understood to play a role in transmission and spreading phenomena on a graph. Such networks form an important part of the structure of society, including transportation networks. As society fights to control the COVID-19 pandemic, an important question is how to choose the optimum balance between the full opening of transport networks and the control of epidemic spread. In this work we investigate the interplay between network dismantling and epidemic spread rate as a proxy for the imposition of travel restrictions to control disease spread. For network dismantling we focus on the weighted and unweighted forms of metrics that capture the topological and informational structure of the network. Our results indicate that there is benefit to a directed approach to imposing travel restrictions, but we identify that more detailed models of the transport network are necessary for definitive results.Robert HarperPhilip TeeSpringerOpenarticleCOVID-19Epidemic spreadVertex entropyComplex networksTransport networksApplied mathematics. Quantitative methodsT57-57.97ENApplied Network Science, Vol 6, Iss 1, Pp 1-26 (2021)
institution DOAJ
collection DOAJ
language EN
topic COVID-19
Epidemic spread
Vertex entropy
Complex networks
Transport networks
Applied mathematics. Quantitative methods
T57-57.97
spellingShingle COVID-19
Epidemic spread
Vertex entropy
Complex networks
Transport networks
Applied mathematics. Quantitative methods
T57-57.97
Robert Harper
Philip Tee
Balancing capacity and epidemic spread in the global airline network
description Abstract The structure of complex networks has long been understood to play a role in transmission and spreading phenomena on a graph. Such networks form an important part of the structure of society, including transportation networks. As society fights to control the COVID-19 pandemic, an important question is how to choose the optimum balance between the full opening of transport networks and the control of epidemic spread. In this work we investigate the interplay between network dismantling and epidemic spread rate as a proxy for the imposition of travel restrictions to control disease spread. For network dismantling we focus on the weighted and unweighted forms of metrics that capture the topological and informational structure of the network. Our results indicate that there is benefit to a directed approach to imposing travel restrictions, but we identify that more detailed models of the transport network are necessary for definitive results.
format article
author Robert Harper
Philip Tee
author_facet Robert Harper
Philip Tee
author_sort Robert Harper
title Balancing capacity and epidemic spread in the global airline network
title_short Balancing capacity and epidemic spread in the global airline network
title_full Balancing capacity and epidemic spread in the global airline network
title_fullStr Balancing capacity and epidemic spread in the global airline network
title_full_unstemmed Balancing capacity and epidemic spread in the global airline network
title_sort balancing capacity and epidemic spread in the global airline network
publisher SpringerOpen
publishDate 2021
url https://doaj.org/article/8754e08ce81d46bf9ce2e4051c1029c8
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