Sheep Movement Networks and the Transmission of Infectious Diseases

Victoriya V Volkova,Mark E J Woolhouse,Nicholas J Savill,Richard Howey,Alison P Galvani

doi:10.1371/journal.pone.0011185

Victoriya V Volkova, Mark E J Woolhouse + Show 3 more

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https://doi.org/10.1371/journal.pone.0011185

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Journal: PloS one	Publication Date: Jun 17, 2010
Citations: 105	License type: CC BY 4.0

Affiliation: University of Edinburgh

Abstract

Background and MethodologyVarious approaches have been used to investigate how properties of farm contact networks impact on the transmission of infectious diseases. The potential for transmission of an infection through a contact network can be evaluated in terms of the basic reproduction number, R 0. The magnitude of R 0 is related to the mean contact rate of a host, in this case a farm, and is further influenced by heterogeneities in contact rates of individual hosts. The latter can be evaluated as the second order moments of the contact matrix (variances in contact rates, and co-variance between contacts to and from individual hosts). Here we calculate these quantities for the farms in a country-wide livestock network: >15,000 Scottish sheep farms in each of 4 years from July 2003 to June 2007. The analysis is relevant to endemic and chronic infections with prolonged periods of infectivity of affected animals, and uses different weightings of contacts to address disease scenarios of low, intermediate and high animal-level prevalence.Principal Findings and ConclusionsAnalysis of networks of Scottish farms via sheep movements from July 2003 to June 2007 suggests that heterogeneities in movement patterns (variances and covariances of rates of movement on and off the farms) make a substantial contribution to the potential for the transmission of infectious diseases, quantified as R 0, within the farm population. A small percentage of farms (<20%) contribute the bulk of the transmission potential (>80%) and these farms could be efficiently targeted by interventions aimed at reducing spread of diseases via animal movement.

Highlights

Understanding the structure of contact networks is important for predicting and controlling the spread of infectious diseases [1,2,3,4]
The movement-record data have been used in studies of the epidemiology of a variety of diseases, for example, foot-and-mouth disease in cattle and sheep [6], bovine tuberculosis in cattle [7,8], and scrapie in sheep [9,10]
In parallel with the disease-specific studies there have been a number of studies of the generic properties of livestock movement networks relating to the spread of infectious disease

Summary

Introduction

Understanding the structure of contact networks is important for predicting and controlling the spread of infectious diseases [1,2,3,4]. In parallel with the disease-specific studies there have been a number of studies of the generic properties of livestock movement networks relating to the spread of infectious disease. These have taken two approaches to characterising the movement networks. The magnitude of R0 is related to the mean contact rate of a host, in this case a farm, and is further influenced by heterogeneities in contact rates of individual hosts The latter can be evaluated as the second order moments of the contact matrix (variances in contact rates, and co-variance between contacts to and from individual hosts).

Methods

Results

Conclusion