Plant virus epidemiology: applications and prospects for mathematical modeling and analysis to improve understanding and disease control

A - Papers appearing in refereed journals

Jeger, M. J., Madden, L. V. and Van Den Bosch, F. 2017. Plant virus epidemiology: applications and prospects for mathematical modeling and analysis to improve understanding and disease control. Plant Disease. 102 (5), pp. 837-854.

AuthorsJeger, M. J., Madden, L. V. and Van Den Bosch, F.
Abstract

In recent years, mathematical modeling has increasingly been used to complement experimental and observational studies of biological phenomena across different levels of organization. In this article, we consider the contribution of mathematical models developed using a wide range of techniques and uses to the study of plant virus disease epidemics. Our emphasis is on the extent to which models have contributed to answering biological questions and indeed raised questions related to the epidemiology and ecology of plant viruses and the diseases caused. In some cases, models have led to direct applications in disease control, but arguably their impact is better judged through their influence in guiding research direction and improving understanding across the characteristic spatiotemporal scales of plant virus epidemics. We restrict this article to plant virus diseases for reasons of length and to maintain focus even though we recognize that modeling has played a major and perhaps greater part in the epidemiology of other plant pathogen taxa, including vector-borne bacteria and phytoplasmas.

Year of Publication2017
JournalPlant Disease
Journal citation102 (5), pp. 837-854
Digital Object Identifier (DOI)doi:10.1094/PDIS-04-17-0612-FE
PubMed ID30673389
Open accessPublished as bronze (free) open access
Publisher's version
Publication dates
Online30 Mar 2018
Publication process dates
Accepted27 Nov 2017
PublisherAmerican Phytopathological Society (APS)
ISSN0191-2917

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