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Breaking beta: deconstructing the parasite transmission function

Transmission is a fundamental step in the life cycle of every parasite but it is also one of the most challenging processes to model and quantify. In most host–parasite models, the transmission process is encapsulated by a single parameter β. Many different biological processes and interactions, act...

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Autores principales: McCallum, Hamish, Fenton, Andy, Hudson, Peter J., Lee, Brian, Levick, Beth, Norman, Rachel, Perkins, Sarah E., Viney, Mark, Wilson, Anthony J., Lello, Joanne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5352811/
https://www.ncbi.nlm.nih.gov/pubmed/28289252
http://dx.doi.org/10.1098/rstb.2016.0084
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author McCallum, Hamish
Fenton, Andy
Hudson, Peter J.
Lee, Brian
Levick, Beth
Norman, Rachel
Perkins, Sarah E.
Viney, Mark
Wilson, Anthony J.
Lello, Joanne
author_facet McCallum, Hamish
Fenton, Andy
Hudson, Peter J.
Lee, Brian
Levick, Beth
Norman, Rachel
Perkins, Sarah E.
Viney, Mark
Wilson, Anthony J.
Lello, Joanne
author_sort McCallum, Hamish
collection PubMed
description Transmission is a fundamental step in the life cycle of every parasite but it is also one of the most challenging processes to model and quantify. In most host–parasite models, the transmission process is encapsulated by a single parameter β. Many different biological processes and interactions, acting on both hosts and infectious organisms, are subsumed in this single term. There are, however, at least two undesirable consequences of this high level of abstraction. First, nonlinearities and heterogeneities that can be critical to the dynamic behaviour of infections are poorly represented; second, estimating the transmission coefficient β from field data is often very difficult. In this paper, we present a conceptual model, which breaks the transmission process into its component parts. This deconstruction enables us to identify circumstances that generate nonlinearities in transmission, with potential implications for emergent transmission behaviour at individual and population scales. Such behaviour cannot be explained by the traditional linear transmission frameworks. The deconstruction also provides a clearer link to the empirical estimation of key components of transmission and enables the construction of flexible models that produce a unified understanding of the spread of both micro- and macro-parasite infectious disease agents. This article is part of the themed issue ‘Opening the black box: re-examining the ecology and evolution of parasite transmission’.
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spelling pubmed-53528112017-03-30 Breaking beta: deconstructing the parasite transmission function McCallum, Hamish Fenton, Andy Hudson, Peter J. Lee, Brian Levick, Beth Norman, Rachel Perkins, Sarah E. Viney, Mark Wilson, Anthony J. Lello, Joanne Philos Trans R Soc Lond B Biol Sci Articles Transmission is a fundamental step in the life cycle of every parasite but it is also one of the most challenging processes to model and quantify. In most host–parasite models, the transmission process is encapsulated by a single parameter β. Many different biological processes and interactions, acting on both hosts and infectious organisms, are subsumed in this single term. There are, however, at least two undesirable consequences of this high level of abstraction. First, nonlinearities and heterogeneities that can be critical to the dynamic behaviour of infections are poorly represented; second, estimating the transmission coefficient β from field data is often very difficult. In this paper, we present a conceptual model, which breaks the transmission process into its component parts. This deconstruction enables us to identify circumstances that generate nonlinearities in transmission, with potential implications for emergent transmission behaviour at individual and population scales. Such behaviour cannot be explained by the traditional linear transmission frameworks. The deconstruction also provides a clearer link to the empirical estimation of key components of transmission and enables the construction of flexible models that produce a unified understanding of the spread of both micro- and macro-parasite infectious disease agents. This article is part of the themed issue ‘Opening the black box: re-examining the ecology and evolution of parasite transmission’. The Royal Society 2017-05-05 2017-03-13 /pmc/articles/PMC5352811/ /pubmed/28289252 http://dx.doi.org/10.1098/rstb.2016.0084 Text en © 2017 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
McCallum, Hamish
Fenton, Andy
Hudson, Peter J.
Lee, Brian
Levick, Beth
Norman, Rachel
Perkins, Sarah E.
Viney, Mark
Wilson, Anthony J.
Lello, Joanne
Breaking beta: deconstructing the parasite transmission function
title Breaking beta: deconstructing the parasite transmission function
title_full Breaking beta: deconstructing the parasite transmission function
title_fullStr Breaking beta: deconstructing the parasite transmission function
title_full_unstemmed Breaking beta: deconstructing the parasite transmission function
title_short Breaking beta: deconstructing the parasite transmission function
title_sort breaking beta: deconstructing the parasite transmission function
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5352811/
https://www.ncbi.nlm.nih.gov/pubmed/28289252
http://dx.doi.org/10.1098/rstb.2016.0084
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