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.

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
• 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: https://theses.gla.ac.uk/id/eprint/7558