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Infections on Temporal Networks—A Matrix-Based Approach

We extend the concept of accessibility in temporal networks to model infections with a finite infectious period such as the susceptible-infected-recovered (SIR) model. This approach is entirely based on elementary matrix operations and unifies the disease and network dynamics within one algebraic fr...

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Autores principales: Koher, Andreas, Lentz, Hartmut H. K., Hövel, Philipp, Sokolov, Igor M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4817993/
https://www.ncbi.nlm.nih.gov/pubmed/27035128
http://dx.doi.org/10.1371/journal.pone.0151209
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author Koher, Andreas
Lentz, Hartmut H. K.
Hövel, Philipp
Sokolov, Igor M.
author_facet Koher, Andreas
Lentz, Hartmut H. K.
Hövel, Philipp
Sokolov, Igor M.
author_sort Koher, Andreas
collection PubMed
description We extend the concept of accessibility in temporal networks to model infections with a finite infectious period such as the susceptible-infected-recovered (SIR) model. This approach is entirely based on elementary matrix operations and unifies the disease and network dynamics within one algebraic framework. We demonstrate the potential of this formalism for three examples of networks with high temporal resolution: networks of social contacts, sexual contacts, and livestock-trade. Our investigations provide a new methodological framework that can be used, for instance, to estimate the epidemic threshold, a quantity that determines disease parameters, for which a large-scale outbreak can be expected.
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spelling pubmed-48179932016-04-19 Infections on Temporal Networks—A Matrix-Based Approach Koher, Andreas Lentz, Hartmut H. K. Hövel, Philipp Sokolov, Igor M. PLoS One Research Article We extend the concept of accessibility in temporal networks to model infections with a finite infectious period such as the susceptible-infected-recovered (SIR) model. This approach is entirely based on elementary matrix operations and unifies the disease and network dynamics within one algebraic framework. We demonstrate the potential of this formalism for three examples of networks with high temporal resolution: networks of social contacts, sexual contacts, and livestock-trade. Our investigations provide a new methodological framework that can be used, for instance, to estimate the epidemic threshold, a quantity that determines disease parameters, for which a large-scale outbreak can be expected. Public Library of Science 2016-04-01 /pmc/articles/PMC4817993/ /pubmed/27035128 http://dx.doi.org/10.1371/journal.pone.0151209 Text en © 2016 Koher et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Koher, Andreas
Lentz, Hartmut H. K.
Hövel, Philipp
Sokolov, Igor M.
Infections on Temporal Networks—A Matrix-Based Approach
title Infections on Temporal Networks—A Matrix-Based Approach
title_full Infections on Temporal Networks—A Matrix-Based Approach
title_fullStr Infections on Temporal Networks—A Matrix-Based Approach
title_full_unstemmed Infections on Temporal Networks—A Matrix-Based Approach
title_short Infections on Temporal Networks—A Matrix-Based Approach
title_sort infections on temporal networks—a matrix-based approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4817993/
https://www.ncbi.nlm.nih.gov/pubmed/27035128
http://dx.doi.org/10.1371/journal.pone.0151209
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