NJ Cunniffe
Thirteen challenges in modelling plant diseases
Cunniffe, NJ; Koskella, B; Metcalf, JE; Parnell, SR; Gottwald, TR; Gilligan, CA
Authors
B Koskella
JE Metcalf
SR Parnell
TR Gottwald
CA Gilligan
Abstract
The underlying structure of epidemiological models, and the questions that models can be used to address, do not necessarily depend on the host organism in question. This means that certain preoccupations of plant disease modellers are similar to those of modellers of diseases in human, livestock and wild animal populations. However, a number of aspects of plant epidemiology are very distinctive, and this leads to specific challenges in modelling plant diseases, which in turn sets a certain agenda for modellers. Here we outline a selection of 13 challenges, specific to plant disease epidemiology, that we feel are important targets for future work.
Citation
Cunniffe, N., Koskella, B., Metcalf, J., Parnell, S., Gottwald, T., & Gilligan, C. (2015). Thirteen challenges in modelling plant diseases. Epidemics, 10, 6-10. https://doi.org/10.1016/j.epidem.2014.06.002
Journal Article Type | Article |
---|---|
Acceptance Date | Jun 23, 2014 |
Online Publication Date | Jul 1, 2014 |
Publication Date | Mar 1, 2015 |
Deposit Date | Feb 17, 2015 |
Publicly Available Date | Oct 9, 2018 |
Journal | Epidemics |
Print ISSN | 1755-4365 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 10 |
Pages | 6-10 |
DOI | https://doi.org/10.1016/j.epidem.2014.06.002 |
Publisher URL | http://dx.doi.org/10.1016/j.epidem.2014.06.002 |
Related Public URLs | http://www.journals.elsevier.com/epidemics/ |
Additional Information | Funders : Biotechnology and Biosciences Sciences Research Council (BBSRC) |
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http://creativecommons.org/licenses/by-nc-nd/4.0/
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