Application of network analysis parameters in risk-based surveillance - Examples based on cattle trade data and bovine infections in Sweden

Frössling, Jenny (author): Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för husdjurens miljö och hälsa (HMH),Department of Animal Environment and Health,SVA, Sweden Swedish University of Agriculture Science, Sweden,Department of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden / Department of Animal Environment and Health, Swedish University of Agricultural Sciences, Skara, Sweden

Ohlson, Anna (author): Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för kliniska vetenskaper (KV),Department of Clinical Sciences,SVA, Sweden Swedish University of Agriculture Science, Sweden,Department of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden / Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden

Björkman, Camilla (author): Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Institutionen för kliniska vetenskaper (KV),Department of Clinical Sciences,Department of Clinical Sciences, Swedish University of Agricultural Sciences, Uppsala, Sweden

Håkansson, Nina (author): Linköpings universitet,Högskolan i Skövde,Institutionen för vård och natur,Forskningscentrum för Systembiologi,Division of Theoretical Biology, IFM Theory and Modelling, Linköping University, Linköping, Sweden,Teoretisk Biologi,Tekniska högskolan

Nöremark, Maria (author): Department of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden,SVA, Sweden

(creator_code:org_t)

Elsevier, 2012
2012
English.
In: Preventive Veterinary Medicine. - : Elsevier. - 0167-5877 .- 1873-1716. ; 105:3, s. 202-208

Related links:: https://doi.org/10.1...; show more...; https://urn.kb.se/re...; https://doi.org/10.1...; https://res.slu.se/i...; https://urn.kb.se/re...; show less...

Abstract Subject headings

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.

LANTBRUKSVETENSKAPER -- Veterinärmedicin (hsv//swe)
AGRICULTURAL SCIENCES -- Veterinary Science (hsv//eng)
LANTBRUKSVETENSKAPER -- Veterinärmedicin -- Annan veterinärmedicin (hsv//swe)
AGRICULTURAL SCIENCES -- Veterinary Science -- Other Veterinary Science (hsv//eng)

By the author/editor: Frössling, Jenny; Ohlson, Anna; Björkman, Camill ...; Håkansson, Nina; Nöremark, Maria

About the subject

AGRICULTURAL SCIENCES: AGRICULTURAL SCI ...; and Veterinary Scien ...; and Other Veterinary ...

By the university: University of Skövde; Swedish University of Agricultural Sciences; Linköping University

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