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Phylodynamic modelling of FMDV sequence data: from sequences to prevalence
Reference
BBS/E/I/00001642
Principal Investigator / Supervisor
Dr Donald King
Co-Investigators /
Co-Supervisors
Mr Nicholas Knowles
Institution
The Pirbright Institute
Department
The Pirbright Institute Department
Funding type
Research
Value (£)
12,964
Status
Current
Type
Institute Project
Start date
03/10/2011
End date
02/10/2015
Duration
48 months
Abstract
This project will examine the potential applications of ABC Bayesian model frameworks based on Sequential Monte Carlo (SMC) method for reconstructing the spatial,ecological and genetic processes that drive the dynamics of FMDV epidemiology. It is crucial the method will fully integrate patterns of viral dynamics and evolution across multiple epidemiological scales, from between hosts, to local outbreaks and on to regional levels. Therefore, in order to address and test the research hypotheses, the methodology approach will be built by adding layers of complexity over the course of the project.
Summary
unavailable
Committee
Not funded via Committee
Research Topics
Animal Health, Microbiology
Research Priority
X – Research Priority information not available
Research Initiative
X - not in an Initiative
Funding Scheme
X – not Funded via a specific Funding Scheme
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