ArticlePreventive veterinary medicine2012
Application of network analysis parameters in risk-based surveillance - examples based on cattle trade data and bovine infections in Sweden.
Article in Preventive veterinary medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.
- A Systematic Review of Beef Meat Quantitative Microbial Risk Assessment Models.International journal of environmental research and public health · 2020Pooled it
- Risk of exotic disease introduction and propagation in the Austrian swine trade network.iScience · 2026Article
- Descriptive network analysis of Ontario, Canada equine competitions: implications for disease control.BMC veterinary research · 2025Article
- Allocating limited surveillance effort for outbreak detection of endemic foot and mouth disease.PLoS computational biology · 2025Article
- Welfare of cattle during transport.EFSA journal. European Food Safety Authority · 2022Article
- Characterization of potential superspreader farms for bovine tuberculosis: A review.Veterinary medicine and science · 2021Review
- Modelling spread and surveillance of Mycobacterium avium subsp. paratuberculosis in the Swedish cattle trade network.Preventive veterinary medicine · 2020Article
- Herd level estimation of probability of disease freedom applied on the Norwegian control program for bovine respiratory syncytial virus and bovine coronavirus.Preventive veterinary medicine · 2020Article
- Descriptive network analysis of a Standardbred horse training facility contact network: Implications for disease transmission.The Canadian veterinary journal = La revue veterinaire canadienne · 2020Article
- Illustration of Different Disease Transmission Routes in a Pig Trade Network by Monopartite and Bipartite Representation.Animals : an open access journal from MDPI · 2020Article
- Effects of trading networks on the risk of bovine tuberculosis incidents on cattle farms in Great Britain.Royal Society open science · 2020Article
- Using Biosecurity Measures to Combat Respiratory Disease in Cattle: The Norwegian Control Program for Bovine Respiratory Syncytial Virus and Bovine Coronavirus.Frontiers in veterinary science · 2020Review
- Contact chains of cattle farms in Great Britain.Royal Society open science · 2019Article
- Implications of Cattle Trade for the Spread and Control of Infectious Diseases in Slovenia.Frontiers in veterinary science · 2019Article
- Dynamic network measures reveal the impact of cattle markets and alpine summering on the risk of epidemic outbreaks in the Swiss cattle population.BMC veterinary research · 2018Article
- Combining network analysis with epidemiological data to inform risk-based surveillance: Application to hepatitis E virus (HEV) in pigs.Preventive veterinary medicine · 2018Article
- Pig movements in France: Designing network models fitting the transmission route of pathogens.PloS one · 2017Article
- Role of Cattle Movements in Bovine Tuberculosis Spread in France between 2005 and 2014.PloS one · 2016Article
- Q fever infection in dairy cattle herds: increased risk with high wind speed and low precipitation.Epidemiology and infection · 2015Article
- Evaluation of farm-level parameters derived from animal movements for use in risk-based surveillance programmes of cattle in Switzerland.BMC veterinary research · 2015Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.