Phylodynamic modelling of foot-and-mouth disease virus sequence data

Di Nardo, Antonello (2016) Phylodynamic modelling of foot-and-mouth disease virus sequence data. PhD thesis, University of Glasgow.

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Abstract

The under-reporting of cases of infectious diseases is a substantial impediment to the control and management of infectious diseases in both epidemic and endemic contexts. Information about infectious disease dynamics can be recovered from sequence data using time-varying coalescent approaches, and phylodynamic models have been developed in order to reconstruct demographic changes of the numbers of infected hosts through time. In this study I have demonstrated the general concordance between empirically observed epidemiological incidence data and viral demography inferred through analysis of foot-and-mouth disease virus VP1 coding sequences belonging to the CATHAY topotype over large temporal and spatial scales. However a more precise and robust relationship between the effective population size (

Item Type: Thesis (PhD)
Qualification Level: Postdoctoral
Keywords: Foot-and-mouth disease, molecular epidemiology, phylodynamics, population genetics.
Subjects: Q Science > QH Natural history > QH301 Biology
Q Science > QH Natural history > QH426 Genetics
Q Science > QR Microbiology > QR355 Virology
S Agriculture > SF Animal culture > SF600 Veterinary Medicine
Colleges/Schools: College of Medical Veterinary and Life Sciences > Institute of Biodiversity Animal Health and Comparative Medicine
Funder's Name: UNSPECIFIED
Supervisor's Name: Haydon, Prof Daniel
Date of Award: 2016
Depositing User: Dr Antonello Di Nardo
Unique ID: glathesis:2016-7558
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 07 Sep 2016 13:22
Last Modified: 09 Dec 2016 16:47
URI: http://theses.gla.ac.uk/id/eprint/7558

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