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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
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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. |
format | Online Article Text |
id | pubmed-4817993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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