Eight challenges in modelling disease ecology in multi-host, multi-agent systems

Many disease systems exhibit complexities not captured by current theoretical and empirical work. In particular, systems with multiple host species and multiple infectious agents (i.e., multi-host, multi-agent systems) require novel methods to extend the wealth of knowledge acquired studying primari...

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Main Authors: Michael G. Buhnerkempe, Mick G. Roberts, Andrew P. Dobson, Hans Heesterbeek, Peter J. Hudson, James O. Lloyd-Smith
Format: Article
Language:English
Published: Elsevier 2015-03-01
Series:Epidemics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436514000693
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author Michael G. Buhnerkempe
Mick G. Roberts
Andrew P. Dobson
Hans Heesterbeek
Peter J. Hudson
James O. Lloyd-Smith
author_facet Michael G. Buhnerkempe
Mick G. Roberts
Andrew P. Dobson
Hans Heesterbeek
Peter J. Hudson
James O. Lloyd-Smith
author_sort Michael G. Buhnerkempe
collection DOAJ
description Many disease systems exhibit complexities not captured by current theoretical and empirical work. In particular, systems with multiple host species and multiple infectious agents (i.e., multi-host, multi-agent systems) require novel methods to extend the wealth of knowledge acquired studying primarily single-host, single-agent systems. We outline eight challenges in multi-host, multi-agent systems that could substantively increase our knowledge of the drivers and broader ecosystem effects of infectious disease dynamics.
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spelling doaj.art-fb086a1b5d4d48a9b2e789b1985353ee2022-12-22T00:25:11ZengElsevierEpidemics1755-43651878-00672015-03-0110C263010.1016/j.epidem.2014.10.001Eight challenges in modelling disease ecology in multi-host, multi-agent systemsMichael G. Buhnerkempe0Mick G. Roberts1Andrew P. Dobson2Hans Heesterbeek3Peter J. Hudson4James O. Lloyd-Smith5Department of Ecology and Evolutionary Biology, University of California—Los Angeles, Los Angeles, CA, USAInstitute of Natural & Mathematical Sciences, New Zealand Institute for Advanced Study and Infectious Disease Research Centre, Massey University, Auckland, New ZealandDepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, USAFaculty of Veterinary Medicine, University of Utrecht, Utrecht, NetherlandsFogarty International Center, National Institutes of Health, Bethesda, MD, USADepartment of Ecology and Evolutionary Biology, University of California—Los Angeles, Los Angeles, CA, USAMany disease systems exhibit complexities not captured by current theoretical and empirical work. In particular, systems with multiple host species and multiple infectious agents (i.e., multi-host, multi-agent systems) require novel methods to extend the wealth of knowledge acquired studying primarily single-host, single-agent systems. We outline eight challenges in multi-host, multi-agent systems that could substantively increase our knowledge of the drivers and broader ecosystem effects of infectious disease dynamics.http://www.sciencedirect.com/science/article/pii/S1755436514000693Multiple hostsMultiple pathogensCommunity ecologyMaintenanceFood webs
spellingShingle Michael G. Buhnerkempe
Mick G. Roberts
Andrew P. Dobson
Hans Heesterbeek
Peter J. Hudson
James O. Lloyd-Smith
Eight challenges in modelling disease ecology in multi-host, multi-agent systems
Epidemics
Multiple hosts
Multiple pathogens
Community ecology
Maintenance
Food webs
title Eight challenges in modelling disease ecology in multi-host, multi-agent systems
title_full Eight challenges in modelling disease ecology in multi-host, multi-agent systems
title_fullStr Eight challenges in modelling disease ecology in multi-host, multi-agent systems
title_full_unstemmed Eight challenges in modelling disease ecology in multi-host, multi-agent systems
title_short Eight challenges in modelling disease ecology in multi-host, multi-agent systems
title_sort eight challenges in modelling disease ecology in multi host multi agent systems
topic Multiple hosts
Multiple pathogens
Community ecology
Maintenance
Food webs
url http://www.sciencedirect.com/science/article/pii/S1755436514000693
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