TY - JOUR
T1 - Eight challenges in modelling disease ecology in multi-host, multi-agent systems
AU - Buhnerkempe, Michael G.
AU - Roberts, Mick G.
AU - Dobson, Andrew P.
AU - Heesterbeek, Hans
AU - Hudson, Peter J.
AU - Lloyd-Smith, James O.
N1 - Funding Information:
Ideas for this paper were conceived at the Isaac Newton Institute for Mathematical Sciences programme on Infectious Disease Dynamics. M.G.B., J.O.L.-S., and P.J.H. are supported by the Research and Policy for Infectious Disease Dynamics (RAPIDD) program of the Science and Technology Directory, Department of Homeland Security , and Fogarty International Center, National Institutes of Health . M.G.B. and J.O.L.-S. are also supported by the National Science Foundation ( OCE-1335657 ). M.G.R is supported by the Marsden Fund under contract MAU1106 . A.P.D. is supported by the James S. McDonnell Foundation and the NSF-NIH Ecology of Infectious Diseases program.
Publisher Copyright:
© 2014 The Authors.
PY - 2015/3/1
Y1 - 2015/3/1
N2 - 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.
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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U2 - 10.1016/j.epidem.2014.10.001
DO - 10.1016/j.epidem.2014.10.001
M3 - Article
C2 - 25843378
AN - SCOPUS:84939997360
SN - 1755-4365
VL - 10
SP - 26
EP - 30
JO - Epidemics
JF - Epidemics
ER -