Thirteen challenges in modelling plant diseases

Nik J. Cunniffe, Britt Koskella, C. Jessica E. Metcalf, Stephen Parnell, Tim R. Gottwald, Christopher A. Gilligan

Research output: Contribution to journalArticle

58 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)6-10
Number of pages5
JournalEpidemics
Volume10
DOIs
StatePublished - Mar 1 2015
Externally publishedYes

All Science Journal Classification (ASJC) codes

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

Keywords

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

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  • Cite this

    Cunniffe, N. J., Koskella, B., E. Metcalf, C. J., Parnell, S., Gottwald, T. R., & Gilligan, C. A. (2015). Thirteen challenges in modelling plant diseases. Epidemics, 10, 6-10. https://doi.org/10.1016/j.epidem.2014.06.002