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Title: On the analysis of livestock networks and the modelling of foot-and-mouth disease
Author: Dawson, Peter Michael
ISNI:       0000 0004 6062 0623
Awarding Body: University of Warwick
Current Institution: University of Warwick
Date of Award: 2016
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Foot-and-mouth disease (FMD) is a highly infectious disease affecting cloven-hoofed ruminants. FMD is endemic across Asia, Africa and South America and, as demonstrated by the 2001 outbreak in the UK, can cause devastating epidemics in FMD free countries. A comprehensive dataset comprising the births, deaths and farm-to-farm movements of almost fifty million cattle was made available to us by the Turkish authorities. In chapter 2 we discuss the processing, cleaning and analysis of this dataset. Cattle movement networks were built using farms as nodes and the farm-to-farm movements as edges before performing a network analysis. The richness and completeness of the Turkish data set is not generally available to modellers. In chapter 3 we implement various sampling strategies to determine the quantity of network data required to give accurate epidemiological predictions, using the British cattle trade network as a case study. In chapter 4 we introduce community detection as a method for analysing the cattle movement networks of both the UK and Turkey. This analysis goes beyond the calculation of the farm level statistics calculated in chapter 2 and seeks to find higher order structures in these networks. Chapter 5 develops a within farm model of FMD by drawing on outbreak data from two farms of different sizes in Turkey. This model is parametrised by running a Bayesian inference scheme on the smaller of the two farms. Simulations were then performed on both farms using the inferred posterior parameter distributions.
Supervisor: Not available Sponsor: Engineering and Physical Sciences Research Council
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: SF Animal culture