Skip to main content

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

Author(s): Buhnerkempe, Michael G.; Roberts, Mick G.; Dobson, Andrew P.; Heesterbeek, Hans; Hudson, Peter J.; et al

Download
To refer to this page use: http://arks.princeton.edu/ark:/88435/pr1j42k
Full metadata record
DC FieldValueLanguage
dc.contributor.authorBuhnerkempe, Michael G.-
dc.contributor.authorRoberts, Mick G.-
dc.contributor.authorDobson, Andrew P.-
dc.contributor.authorHeesterbeek, Hans-
dc.contributor.authorHudson, Peter J.-
dc.contributor.authorLloyd-Smith, James O.-
dc.date.accessioned2019-05-30T15:55:06Z-
dc.date.available2019-05-30T15:55:06Z-
dc.date.issued2015-03en_US
dc.identifier.citationBuhnerkempe, Michael G, Roberts, Mick G, Dobson, Andrew P, Heesterbeek, Hans, Hudson, Peter J, Lloyd-Smith, James O. (2015). Eight challenges in modelling disease ecology in multi-host, multi-agent systems. Epidemics, 10 (26 - 30). doi:10.1016/j.epidem.2014.10.001en_US
dc.identifier.issn1755-4365-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1j42k-
dc.description.abstractMany 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.en_US
dc.format.extent26 - 30en_US
dc.language.isoen_USen_US
dc.relation.ispartofEpidemicsen_US
dc.rightsAuthor's manuscripten_US
dc.titleEight challenges in modelling disease ecology in multi-host, multi-agent systemsen_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1016/j.epidem.2014.10.001-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

Files in This Item:
File Description SizeFormat 
nihms656573.pdf75.05 kBAdobe PDFView/Download


Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.