Skip to main content
Article thumbnail
Location of Repository

Representing the UK's cattle herd as static and dynamic networks\ud

By Matthew C. Vernon and Matthew James Keeling


Network models are increasingly being used to understand the spread of diseases through sparsely connected populations, with particular interest in the impact of animal movements upon the dynamics of infectious diseases. Detailed data collected by the UK government on the movement of cattle may be represented as a network, where animal holdings are nodes, and an edge is drawn between nodes where a movement of animals has occurred. These network representations may vary from a simple static representation, to a more complex, fully dynamic one where daily movements are explicitly captured. Using stochastic disease simulations, a wide range of network representations of the UK cattle herd are compared. We find that the simpler static network representations are often deficient when compared with a fully dynamic representation, and should therefore be used only with caution in epidemiological modelling. In particular, due to temporal structures within the dynamic network, static networks consistently fail to capture the predicted epidemic behaviour associated with dynamic networks even when parameterized to match early growth rates. \ud \u

Topics: QL, QA
Publisher: The Royal Society Publishing
Year: 2009
OAI identifier:

Suggested articles


  1. (2000). A dynamic model of social network formation. doi
  2. (2005). Cattle movements and bovine tuberculosis in Great Britain. doi
  3. (2007). CONTAGION: free software for network analysis & generation, and disease simulation. See
  4. (2007). Department for Environment Food and Rural Affairs. (Presented to Ben Bradshaw (Parliamentary Under-Secretary Commons).
  5. (1999). Emergence of scaling in random networks. doi
  6. (2006). Empirical analysis of an evolving social network. doi
  7. (1991). Infectious diseases of humans. doi
  8. (2002). Mapping bovine tuberculosis in Great Britain using environmental data. doi
  9. (2005). Network analysis of cattle movements in Great Britain.
  10. (1999). Practical nonparametric statistics. doi
  11. (2007). Progress with enhancing veterinary surveillance in the United Kingdom. doi
  12. (2006). Review of the livestock movement controls.
  13. (1994). Social network analysis. Structural analysis in the social sciences, doi
  14. (2003). Socialnetwork analysis of Mycobacterium bovis transmission among captive brushtail possums (Trichosurus vulpecula). doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.