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Quantifying changes in the British cattle movement network.

Andrew J Duncan1, Aaron Reeves2, George J Gunn2

  • 1Inverness College UHI, 1 Inverness Campus, Inverness IV2 5NA, UK; Epidemiology Research Unit, Department of Veterinary and Animal Science, Northern Faculty, Scotland's Rural College (SRUC), An Lòchran, 10 Inverness Campus, Inverness IV2 5NA, UK.

Preventive Veterinary Medicine
|November 14, 2021
PubMed
Summary
This summary is machine-generated.

Network analysis of UK cattle movements reveals significant structural changes between 2004-2006 and 2015-2017. Using the Cattle Tracing System data, researchers found network metrics changed, emphasizing the need for current data in disease spread modeling.

Keywords:
CTSCattle Tracing SystemGSCCGWCCMovement networkNetwork metricsSocial network analysis

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Area of Science:

  • Veterinary Epidemiology
  • Network Science
  • Agricultural Economics

Background:

  • Disease spread modeling is vital for the farming industry and policymakers.
  • Animal movement data and network analysis offer insights into disease transmission dynamics.
  • The UK's Cattle Tracing System provides extensive data on cattle movements.

Purpose of the Study:

  • To quantify changes in the UK cattle movement network structure over time.
  • To assess the impact of these changes on disease spread modeling.
  • To determine the optimal data recency for accurate network modeling.

Main Methods:

  • Construction of weighted, directed monthly cattle movement networks for 2004-2006 and 2015-2017.
  • Analysis of 13 network metrics, including node degree, network components, and centrality measures.
  • Application of mixed-effects models to identify statistically significant changes between time periods.

Main Results:

  • Nine out of 13 network metrics showed statistically significant changes between the two periods.
  • A 19% decrease in median total degree was observed.
  • Analysis of data updates indicated improvements in data quality over time.

Conclusions:

  • Substantial changes in cattle movement network structure necessitate the use of recent data for accurate disease modeling.
  • Outdated network data can lead to inaccurate risk assessments and policy decisions.
  • Prioritizing the most current Cattle Tracing System data ensures representative network descriptions for effective policy informing.