Imperial College London
Michael J Jeger

Michael J Jeger

Faculty of Natural Sciences, Department of Life Sciences (Silwood Park)

Emeritus Professor of Horticulture
 
 
 
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Contact

 

+44 (0)1398 332 941m.jeger Website

 
 
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Location

 

Home working 13 Brook Street, Bampton, Devon EX16 9LUSilwood ParkSilwood Park

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Summary

 

Publications

Citation

BibTex format

@article{Jeger:2018:10.1094/PDIS-04-17-0612-FE,
author = {Jeger, MJ and Madden, LV and van, den Bosch F},
doi = {10.1094/PDIS-04-17-0612-FE},
journal = {Plant Disease},
title = {Plant virus epidemiology: applications and prospects for mathematical modelling and analysis to improve understanding and disease control},
url = {http://dx.doi.org/10.1094/PDIS-04-17-0612-FE},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - In recent years mathematical modelling has increasingly been used to complement experimental and observational studies of biological phenomena across different levels of organization (Chew et al. 2014). 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 modelling has played a major and perhaps greater part in the epidemiology of other plant pathogen taxa, including vector-borne bacteria and phytoplasmas.
AU  - Jeger,MJ
AU  - Madden,LV
AU  - van,den Bosch F
DO  - 10.1094/PDIS-04-17-0612-FE
PY  - 2018///
SN  - 0191-2917
TI  - Plant virus epidemiology: applications and prospects for mathematical modelling and analysis to improve understanding and disease control
T2  - Plant Disease
UR  - http://dx.doi.org/10.1094/PDIS-04-17-0612-FE
ER  -
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