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

Michael G. Buhnerkempe; Mick G. Roberts; Andrew P. Dobson; Hans Heesterbeek; Peter J. Hudson; James O. Lloyd-Smith

doi:10.1016/j.epidem.2014.10.001

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

Michael G. Buhnerkempe
, Mick G. Roberts
, Andrew P. Dobson
, Hans Heesterbeek
, Peter J. Hudson
, James O. Lloyd-Smith

Research output: Contribution to journal › Article › peer-review

72 Scopus citations

Abstract

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.

Original language	English (US)
Pages (from-to)	26-30
Number of pages	5
Journal	Epidemics
Volume	10
DOIs	https://doi.org/10.1016/j.epidem.2014.10.001
State	Published - Mar 1 2015

All Science Journal Classification (ASJC) codes

Epidemiology
Parasitology
Microbiology
Public Health, Environmental and Occupational Health
Infectious Diseases
Virology

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10.1016/j.epidem.2014.10.001

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AU - Hudson, Peter J.

AU - Lloyd-Smith, James O.

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

Abstract

All Science Journal Classification (ASJC) codes

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