Heath, M. Fred, Vernon, Matthew C. and Webb, Cerian R. (2008) Construction of networks with intrinsic temporal structure from UK cattle movement data. BMC Veterinary Research, Vol.4 (No.11). doi:10.1186/1746-6148-4-11

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Abstract

Background: The implementation of national systems for recording the movements of cattle between agricultural holdings in the UK has enabled the development and parameterisation of network-based models for disease spread. These data can be used to form a network in which each cattle-holding location is represented by a single node and links between nodes are formed if there
is a movement of cattle between them in the time period selected. However, this approach loses information on the time sequence of events thus reducing the accuracy of model predictions. In this paper, we propose an alternative way of structuring the data which retains information on the
sequence of events but which still enables analysis of the structure of the network. The fundamental feature of this network is that nodes are not individual cattle-holding locations but are instead direct movements between pairs of locations. Links are made between nodes when the second
node is a subsequent movement from the location that received the first movement.
Results: Two networks are constructed assuming (i) a 7-day and (ii) a 14-day infectious period using British Cattle Movement Service (BCMS) data from 2004 and 2005. During this time period there were 4,183,670 movements that could be derived from the database. In both networks over
98% of the connected nodes formed a single giant weak component. Degree distributions show scale-free behaviour over a limited range only, due to the heterogeneity of locations: farms, markets, shows, abattoirs. Simulation of the spread of disease across the networks demonstrates
that this approach to restructuring the data enables efficient comparison of the impact of transmission rates on disease spread.
Conclusion: The redefinition of what constitutes a node has provided a means to simulate disease spread using all the information available in the BCMS database whilst providing a network that can be described analytically. This will enable the construction of generic networks with similar
properties with which to assess the impact of small changes in network structure on disease dynamics.

Item Type:	Journal Article
Subjects:	S Agriculture > SF Animal culture Q Science > QL Zoology
Divisions:	Faculty of Science > Life Sciences (2010- ) > Biological Sciences ( -2010)
Library of Congress Subject Headings (LCSH):	Cattle -- Statistics, Cattle -- Databases, Cattle trade, Vector control, Animals as carriers of disease, Communicable diseases -- Transmission
Journal or Publication Title:	BMC Veterinary Research
Publisher:	BioMed Central Ltd.
ISSN:	1746-6148
Official Date:	20 March 2008
Dates:	Date Event 20 March 2008 Published
Volume:	Vol.4
Number:	No.11
DOI:	10.1186/1746-6148-4-11
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access
Funder:	Tetra-Laval Research Fund, Isaac Newton Trust, Cambridge Infectious Diseases Consortium

Data sourced from Thomson Reuters' Web of Knowledge

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