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Bioscience to battle ash dieback
Date:3/7/2013

predict the spread of ash dieback in the UK, to improve strategies for surveillance and monitoring of the disease, and to inform ways to stop or delay the spread.

The models will build on preliminary work by the Cambridge group to model the initial incursion of ash dieback and other diseases. Models of the patterns, causes, and effects of the disease will link with geographical information systems to predict the spread of disease across the UK landscapes. The modelling will be closely linked to the Nornex project so that the epidemiological models evolve as knowledge of the fungus unfolds and our understanding of the biology of the disease, and the trees it affects, improves.

The research will help to answer key questions about where the disease is most likely to occur, where it will spread most rapidly and cause most damage, and where and when mitigation strategies should be most effectively used to slow or halt the spread.

The research will help to answer key questions about monitoring the disease, such as: how to detect the disease in new areas early enough to control it; where to sample to find new outbreaks efficiently; and how we know if the disease is absent from an area.

The project will also look at how diseases might spread due to industries and trades involving trees and through atmospheric dispersal.


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Contact: Rob Dawson
rob.dawson@bbsrc.ac.uk
01-793-413-204
Biotechnology and Biological Sciences Research Council
Source:Eurekalert

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