ArticleBMC veterinary research2015
Evaluation of farm-level parameters derived from animal movements for use in risk-based surveillance programmes of cattle in Switzerland.
Article in BMC veterinary research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Evolution of the Swiss pork production systems and logistics: the impact on infectious disease resilience.Scientific reports · 2025Article
- Improved cattle farm classification: leveraging machine learning and linked national datasets.Frontiers in veterinary science · 2025Article
- Investigating the use of machine learning algorithms to support risk-based animal welfare inspections of cattle and pig farms.Frontiers in veterinary science · 2024Article
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- Transmission Dynamics of Bovine Viral Diarrhea Virus in Hokkaido, Japan by Phylogenetic and Epidemiological Network Approaches.Pathogens (Basel, Switzerland) · 2021Article
- Eradication of Bovine Viral Diarrhoea (BVD) in Cattle in Switzerland: Lessons Taught by the Complex Biology of the Virus.Frontiers in veterinary science · 2021Review
- Limitations in the implementation of control measures for bovine paratuberculosis in infected Swiss dairy and beef herds.PloS one · 2021Article
- Article
- The Use of Sheep Movement Data to Inform Design and Interpretation of Slaughterhouse-Based Surveillance Activities.Frontiers in veterinary science · 2020Article
- Contact chains of cattle farms in Great Britain.Royal Society open science · 2019Article
- Spreading dynamics in a cattle trade network: Size, speed, typical profile and consequences on epidemic control strategies.PloS one · 2019Article
- Complex System Approaches for Animal Health Surveillance.Frontiers in veterinary science · 2019Review
- Article
- The value of necropsy reports for animal health surveillance.BMC veterinary research · 2018Article
- 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
- Article
- Influence of border disease virus (BDV) on serological surveillance within the bovine virus diarrhea (BVD) eradication program in Switzerland.BMC veterinary research · 2017Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study focused on the descriptive analysis of cattle movements and farm-level parameters derived from cattle movements, which are considered to be generically suitable for risk-based surveillance systems in Switzerland for diseases where animal movements constitute an important risk pathway.
methodsA framework was developed to select farms for surveillance based on a risk score summarizing 5 parameters. The proposed framework was validated using data from the bovine viral diarrhoea (BVD) surveillance programme in 2013.
resultsA cumulative score was calculated per farm, including the following parameters; the maximum monthly ingoing contact chain (in 2012), the average number of animals per incoming movement, use of mixed alpine pastures and the number of weeks in 2012 a farm had movements registered. The final score for the farm depended on the distribution of the parameters. Different cut offs; 50, 90, 95 and 99%, were explored. The final scores ranged between 0 and 5. Validation of the scores against results from the BVD surveillance programme 2013 gave promising results for setting the cut off for each of the five selected farm level criteria at the 50th percentile. Restricting testing to farms with a score ≥ 2 would have resulted in the same number of detected BVD positive farms as testing all farms, i.e., the outcome of the 2013 surveillance programme could have been reached with a smaller survey.
conclusionsThe seasonality and time dependency of the activity of single farms in the networks requires a careful assessment of the actual time period included to determine farm level criteria. However, selecting farms in the sample for risk-based surveillance can be optimized with the proposed scoring system. The system was validated using data from the BVD eradication program. The proposed method is a promising framework for the selection of farms according to the risk of infection based on animal movements.
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