4.2 Article

Thirteen challenges in modelling plant diseases

Journal

EPIDEMICS
Volume 10, Issue -, Pages 6-10

Publisher

ELSEVIER
DOI: 10.1016/j.epidem.2014.06.002

Keywords

Plant disease model; Plant epidemiology; Compartmental models; Stochastic models; Landscape-scale models

Funding

  1. NERC [NE/K00879X/1] Funding Source: UKRI
  2. Biotechnology and Biological Sciences Research Council [BB/B502379/1] Funding Source: researchfish
  3. Natural Environment Research Council [NE/K00879X/1] Funding Source: researchfish
  4. Biotechnology and Biological Sciences Research Council [BB/B502379/1] Funding Source: Medline

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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. (C) 2014 The Authors. Published by Elsevier B.V.

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