Frössling, Jenny
- Department of Applied Animal Science and Welfare, Swedish University of Agricultural Sciences
Conference paper2012Peer reviewedOpen access
Application of network analysis parameters in risk-based surveillance - Examples based on cattle trade data and bovine infections in Sweden
Frössling, Jenny; Ohlson, Anna; Björkman, Camilla; Håkansson, Nina; Nöremark, Maria
Abstract
Financial resources may limit the number of samples that can be collected and analysed in disease surveillance programmes. When the aim of surveillance is disease detection and identification of case herds, a risk-based approach can increase the sensitivity of the surveillance system. In this paper, the association between two network analysis measures, i.e. 'in-degree' and 'ingoing infection chain', and signs of infection is investigated. It is shown that based on regression analysis of combined data from a recent cross-sectional study for endemic viral infections and network analysis of animal movements, a positive serological result for bovine coronavirus (BCV) and bovine respiratory syncytial virus (BRSV) is significantly associated with the purchase of animals. For BCV, this association was significant also when accounting for herd size and regional cattle density, but not for BRSV. Examples are given for different approaches to include cattle movement data in risk-based surveillance by selecting herds based on network analysis measures. 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. (C) 2011 Elsevier B.V. All rights reserved.
Keywords
In-degree; Ingoing infection chain; Bovine coronavirus; Bovine respiratory syncytial virus
Published in
Preventive Veterinary Medicine
2012, volume: 105, number: 3, pages: 202-208
Publisher: Elsevier Science BV
Conference
1st International Conference on Animal Health Surveillance (ICAHS)
SLU Authors
Ohlson, Anna
- Department of Clinical Sciences, Swedish University of Agricultural Sciences
- Department of Clinical Sciences, Swedish University of Agricultural Sciences
Björkman, Camilla
- Department of Clinical Sciences, Swedish University of Agricultural Sciences
- Department of Clinical Sciences, Swedish University of Agricultural Sciences
UKÄ Subject classification
Other Veterinary Science
Publication identifier
- DOI: https://doi.org/10.1016/j.prevetmed.2011.12.011
Permanent link to this page (URI)
https://res.slu.se/id/publ/40999