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How the Dynamics and Structure of Sexual Contact Networks Shape Pathogen Phylogenies
The characteristics of the host contact network over which a pathogen is transmitted affect both epidemic spread and the projected effectiveness of control strategies. Given the importance of understanding these contact networks, it is unfortunate that they are very difficult to measure directly. Th...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3688487/ https://www.ncbi.nlm.nih.gov/pubmed/23818840 http://dx.doi.org/10.1371/journal.pcbi.1003105 |
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author | Robinson, Katy Fyson, Nick Cohen, Ted Fraser, Christophe Colijn, Caroline |
author_facet | Robinson, Katy Fyson, Nick Cohen, Ted Fraser, Christophe Colijn, Caroline |
author_sort | Robinson, Katy |
collection | PubMed |
description | The characteristics of the host contact network over which a pathogen is transmitted affect both epidemic spread and the projected effectiveness of control strategies. Given the importance of understanding these contact networks, it is unfortunate that they are very difficult to measure directly. This challenge has led to an interest in methods to infer information about host contact networks from pathogen phylogenies, because in shaping a pathogen's opportunities for reproduction, contact networks also shape pathogen evolution. Host networks influence pathogen phylogenies both directly, through governing opportunities for evolution, and indirectly by changing the prevalence and incidence. Here, we aim to separate these two effects by comparing pathogen evolution on different host networks that share similar epidemic trajectories. This approach allows use to examine the direct effects of network structure on pathogen phylogenies, largely controlling for confounding differences arising from population dynamics. We find that networks with more heterogeneous degree distributions yield pathogen phylogenies with more variable cluster numbers, smaller mean cluster sizes, shorter mean branch lengths, and somewhat higher tree imbalance than networks with relatively homogeneous degree distributions. However, in particular for dynamic networks, we find that these direct effects are relatively modest. These findings suggest that the role of the epidemic trajectory, the dynamics of the network and the inherent variability of metrics such as cluster size must each be taken into account when trying to use pathogen phylogenies to understand characteristics about the underlying host contact network. |
format | Online Article Text |
id | pubmed-3688487 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-36884872013-07-01 How the Dynamics and Structure of Sexual Contact Networks Shape Pathogen Phylogenies Robinson, Katy Fyson, Nick Cohen, Ted Fraser, Christophe Colijn, Caroline PLoS Comput Biol Research Article The characteristics of the host contact network over which a pathogen is transmitted affect both epidemic spread and the projected effectiveness of control strategies. Given the importance of understanding these contact networks, it is unfortunate that they are very difficult to measure directly. This challenge has led to an interest in methods to infer information about host contact networks from pathogen phylogenies, because in shaping a pathogen's opportunities for reproduction, contact networks also shape pathogen evolution. Host networks influence pathogen phylogenies both directly, through governing opportunities for evolution, and indirectly by changing the prevalence and incidence. Here, we aim to separate these two effects by comparing pathogen evolution on different host networks that share similar epidemic trajectories. This approach allows use to examine the direct effects of network structure on pathogen phylogenies, largely controlling for confounding differences arising from population dynamics. We find that networks with more heterogeneous degree distributions yield pathogen phylogenies with more variable cluster numbers, smaller mean cluster sizes, shorter mean branch lengths, and somewhat higher tree imbalance than networks with relatively homogeneous degree distributions. However, in particular for dynamic networks, we find that these direct effects are relatively modest. These findings suggest that the role of the epidemic trajectory, the dynamics of the network and the inherent variability of metrics such as cluster size must each be taken into account when trying to use pathogen phylogenies to understand characteristics about the underlying host contact network. Public Library of Science 2013-06-20 /pmc/articles/PMC3688487/ /pubmed/23818840 http://dx.doi.org/10.1371/journal.pcbi.1003105 Text en © 2013 Robinson 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Robinson, Katy Fyson, Nick Cohen, Ted Fraser, Christophe Colijn, Caroline How the Dynamics and Structure of Sexual Contact Networks Shape Pathogen Phylogenies |
title | How the Dynamics and Structure of Sexual Contact Networks Shape Pathogen Phylogenies |
title_full | How the Dynamics and Structure of Sexual Contact Networks Shape Pathogen Phylogenies |
title_fullStr | How the Dynamics and Structure of Sexual Contact Networks Shape Pathogen Phylogenies |
title_full_unstemmed | How the Dynamics and Structure of Sexual Contact Networks Shape Pathogen Phylogenies |
title_short | How the Dynamics and Structure of Sexual Contact Networks Shape Pathogen Phylogenies |
title_sort | how the dynamics and structure of sexual contact networks shape pathogen phylogenies |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3688487/ https://www.ncbi.nlm.nih.gov/pubmed/23818840 http://dx.doi.org/10.1371/journal.pcbi.1003105 |
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