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Interacting Epidemics and Coinfection on Contact Networks

The spread of certain diseases can be promoted, in some cases substantially, by prior infection with another disease. One example is that of HIV, whose immunosuppressant effects significantly increase the chances of infection with other pathogens. Such coinfection processes, when combined with nontr...

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Detalles Bibliográficos
Autores principales: Newman, M. E. J., Ferrario, Carrie R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3738632/
https://www.ncbi.nlm.nih.gov/pubmed/23951134
http://dx.doi.org/10.1371/journal.pone.0071321
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author Newman, M. E. J.
Ferrario, Carrie R.
author_facet Newman, M. E. J.
Ferrario, Carrie R.
author_sort Newman, M. E. J.
collection PubMed
description The spread of certain diseases can be promoted, in some cases substantially, by prior infection with another disease. One example is that of HIV, whose immunosuppressant effects significantly increase the chances of infection with other pathogens. Such coinfection processes, when combined with nontrivial structure in the contact networks over which diseases spread, can lead to complex patterns of epidemiological behavior. Here we consider a mathematical model of two diseases spreading through a single population, where infection with one disease is dependent on prior infection with the other. We solve exactly for the sizes of the outbreaks of both diseases in the limit of large population size, along with the complete phase diagram of the system. Among other things, we use our model to demonstrate how diseases can be controlled not only by reducing the rate of their spread, but also by reducing the spread of other infections upon which they depend.
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spelling pubmed-37386322013-08-15 Interacting Epidemics and Coinfection on Contact Networks Newman, M. E. J. Ferrario, Carrie R. PLoS One Research Article The spread of certain diseases can be promoted, in some cases substantially, by prior infection with another disease. One example is that of HIV, whose immunosuppressant effects significantly increase the chances of infection with other pathogens. Such coinfection processes, when combined with nontrivial structure in the contact networks over which diseases spread, can lead to complex patterns of epidemiological behavior. Here we consider a mathematical model of two diseases spreading through a single population, where infection with one disease is dependent on prior infection with the other. We solve exactly for the sizes of the outbreaks of both diseases in the limit of large population size, along with the complete phase diagram of the system. Among other things, we use our model to demonstrate how diseases can be controlled not only by reducing the rate of their spread, but also by reducing the spread of other infections upon which they depend. Public Library of Science 2013-08-08 /pmc/articles/PMC3738632/ /pubmed/23951134 http://dx.doi.org/10.1371/journal.pone.0071321 Text en © 2013 Newman, Ferrario 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
Newman, M. E. J.
Ferrario, Carrie R.
Interacting Epidemics and Coinfection on Contact Networks
title Interacting Epidemics and Coinfection on Contact Networks
title_full Interacting Epidemics and Coinfection on Contact Networks
title_fullStr Interacting Epidemics and Coinfection on Contact Networks
title_full_unstemmed Interacting Epidemics and Coinfection on Contact Networks
title_short Interacting Epidemics and Coinfection on Contact Networks
title_sort interacting epidemics and coinfection on contact networks
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3738632/
https://www.ncbi.nlm.nih.gov/pubmed/23951134
http://dx.doi.org/10.1371/journal.pone.0071321
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