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Cambridge Plant Epidemiology and Modelling Profile
Cambridge Plant Epidemiology and Modelling

@cam_plantepi

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385
Following
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Statuses
102

We develop epidemiological models to predict the spread of plant diseases and optimise strategies for disease management. A group member of @plantsci

Cambridge, England
Joined February 2019
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
30 days
How does landscape structure influence the rate and spread of crop diseases? See Suprunenko et al. Predicting the effect of landscape structure on epidemic invasion using an analytical estimate for infection rate @plantsci @LivUni_IVES @RSocPublishing
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
1 month
Early warning tool will help control huge #locust swarms across #climate vulnerable regions. Retkute et al., ‘A framework for modelling desert locust population dynamics and large-scale dispersal.’ @RenataRetkute @imthursty @FAOLocust @plantsci
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
7 months
RT @JacobwwwSmith: Very pleased to have published on proxy disease surveys from web scraping that can inform #wheat disease forecasts and a…
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
8 months
Good luck to Luke, Kate, Sally and all who are walking Hadrian's wall this week! 3 days done now, bring on day 4! Luke is raising £50,000 for @MNDoddie5 and @mndassoc. If you are able to, please donate what you can.
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
10 months
RT @JacobwwwSmith: Brilliant learning and discussion at the #International #wheat rust forecast and advisory workshop for South Asia. I exp…
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
1 year
RT @Cerian_W: Always good to work with @imthursty and Max Blake @Forest_Research - showing the power of interdisciplinary research in resp…
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
1 year
RT @RichardStutt: Read my latest open access #research on predicting aflatoxin contamination in maize supply chains, published with @Spring
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
1 year
Presenting a new method to analyse plant virus retention in insects – illustrated with whitefly-borne cassava mosaic begomovirus @GlobalFood @plantsci #PlantHealth #CropProtection
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
2 years
Developing a predictive model of the expanding range of #cassava brown streak disease in Sub-Saharan Africa to support management policy decisions. by @davidgodding and team. @plantsci @FoodSecurityUK @GlobalFood
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
2 years
New paper modelling pests and pathogen spread in urban forests. It is important to consider diverse transmission routes & tree stresses in parks, gardens & roadsides. Additionally, precise info on tree locations & species is vital. @Cerian_W @plantsci
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
2 years
See our new flexible epidemiological framework for landscape-scale disease management of a vector-borne pathogen 'Huanglongbing disease' in Citrus
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
2 years
Want to see how crop diseases and insect pests are transmitted by long-distance dispersal? In 3D!? Check the latest paper from @cam_plantepi and collaborators from @metoffice, @unihh and @FAOLocust
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
2 years
New software to boost farmers ability to test for Avocado Sunblotch Viroid. Read more
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
2 years
New paper from Daniel Bonnéry and team @PLOSONE on rational design of a survey protocol for avocado sunblotch viroid in commercial orchards
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
2 years
Congratulations! Our team member, Ruairí Donnelly @plantsci has won support from the BBSRC Flexible Talent Mobility program to translate his fundamental research in cassava virus epidemiology into practical management solutions. Photo credit H.Holmes CGIAR (CC BY 2.0).
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
2 years
RT @plantsci: The Department's Dr Cerian Webb (@cam_plantepi) was a member of the team that recently defined 100 important questions in Pla…
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
2 years
Congratulation to our group member @RenataRetkute on the new paper!
@FrontPlantSci
Frontiers - Plant Science
2 years
New Research: Photoacclimation and entrainment of photosynthesis by fluctuating light varies according to genotype in Arabidopsis thaliana: Acclimation of photosynthesis to light intensity (photoacclimation) takes days to achieve… #PlantScience #PlantSci
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
2 years
RT @plantsci: 📢Call for candidates alert !!📢 Do you have expertise in computational and mathematical modelling? If so, the amazing @cam_pl
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
2 years
RT @Cambridge_Uni: 🌍 How can mathematical modelling prevent crop devastation in climate-vulnerable regions around the world? Professor Chr…
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@cam_plantepi
Cambridge Plant Epidemiology and Modelling
2 years
RT @PhytopathologyJ: What is the effect of varying initial levels of resistance on optimal resistance management strategies for mixtures of…
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