217 Research paper – Frossling – 2012 – Application of network analysis parameters in risk-based surveillance – Examples based on cattle trade data and bovine infections in SwedenClick here for resource
In Significant Impact Groups:
Pathogen management \
Species targeted: Dairy;
Where to find the original material:
Financial resources may limit the number of samples that can be collected and analysed in disease surveillance programmes. In this paper, the association between two network analysis measures, i.e. ‘in-degree’ and ‘ingoing infection chain’, and signs of infection is investigated. Results show that compared to completely random sampling these approaches increase the number of detected positives, both for BCV and BRSV in our study population. It is concluded that network measures for the relevant time period based on updated databases of animal movements can provide a simple and straight forward tool for risk-based sampling.