Impact of regulatory perturbations to disease spread through cattle movements in Great Britain

• Published in: Preventive veterinary medicine Vol. 105; no. 1-2; pp. 110 - 117
• Main Authors: Vernon, Matthew C., Keeling, Matt J.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.06.2012; Elsevier Scientific Publishing
• Subjects: Animal Husbandry; Animal Husbandry - economics; Animal Husbandry - legislation & jurisprudence; Animals; Cattle; Cattle Diseases; Cattle Diseases - epidemiology; Cattle Diseases - prevention & control; Cattle Diseases - transmission; control methods; disease control; Disease control policy; disease outbreaks; economics; epidemiology; farmers; farms; Government Regulation; Great Britain; Incidence; Infectious disease epidemiology; infectious diseases; issues and policy; laws and regulations; legislation & jurisprudence; livestock and meat industry; markets; Models, Biological; pathogens; Prevalence; prevention & control; profitability; radar; risk; Risk Assessment; Seasons; Simulation; slaughterhouses; Stochastic Processes; transmission; Transportation; Transportation - legislation & jurisprudence; United Kingdom - epidemiology; Great Britain; Simulation; Disease control policy; Infectious disease epidemiology
• ISSN: 0167-5877; 1873-1716; 1873-1716
• DOI: 10.1016/j.prevetmed.2011.12.016

During the past decade the British livestock industry has suffered from several major pathogen outbreaks, and a variety of regulatory and disease control measures have been applied to the movement of livestock with the express aim of mitigating the spread of infection. The Rapid Analysis and Detection of Animal-related Risks (RADAR) project, which has been collecting data on the movement of cattle since 1998, provides a relatively comprehensive record of how these policies have influenced the movement of cattle between animal holdings, markets, and slaughterhouses in Britain. Many previous studies have focused on the properties of the network that can be derived from these movements – treating farms as nodes and movements as directed (and potentially weighted) edges in the network. However, of far greater importance is how these policy changes have influenced the potential spread of infectious diseases. Here we use a stochastic fully individual-based model of cattle in Britain to assess how the epidemic potential has varied from 2000 to 2009 as the pattern of movements has changed in response to legislation and market forces. Our simulations show that the majority of policy changes lead to significant decreases in the epidemic potential (measured in multiple ways), but that this potential then increases through time as cattle farmers modify their behaviour in response. Our results suggest that the cattle industry is likely to experience boom-bust dynamics, with the actions that farmers take during epidemic-free periods to maximise their profitability likely to increase the potential for large-scale epidemics to occur.