ArticleScientific reports2016
Exploring pig trade patterns to inform the design of risk-based disease surveillance and control strategies.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.
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Who cites it
26 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Assessing the impact of mitigation measures on cattle movement patterns in Austria: bluetongue virus outbreaks as a case study.Frontiers in veterinary science · 2026Article
- Descriptive network analysis of Ontario, Canada equine competitions: implications for disease control.BMC veterinary research · 2025Article
- Data quality assessment of pig movements in the Norwegian Livestock Register reveals challenges for outbreak preparedness.BMC veterinary research · 2025Article
- Identifying effective surveillance measures for swine pathogens using contact networks and mathematical modeling.PloS one · 2025Article
- The swine market movement and structure in Mexico: Implications for animal welfare and environmental impact.PloS one · 2025Article
- Network Analysis of Small Ruminant Movements in Uganda: Implications for Control of Transboundary Animal Diseases.Transboundary and emerging diseases · 2025Article
- Mapping Small Ruminant Trade Networks in Ethiopia's Somali Region and Borena Zone: Implications for the Spread of Peste des Petits Ruminants Virus.Transboundary and emerging diseases · 2025Article
- Article
- Active querying approach to epidemic source detection on contact networks.Scientific reports · 2023Article
- Network analysis of pig movement data as an epidemiological tool: an Austrian case study.Scientific reports · 2023Article
- A methodology to assess indirect economic impacts of animal disease outbreaks: A case of hypothetical African swine fever outbreak in Switzerland.Transboundary and emerging diseases · 2022Article
- Coupling spatial statistics with social network analysis to estimate distinct risk areas of disease circulation to improve risk-based surveillance.Transboundary and emerging diseases · 2022Article
- African Swine Fever Virus: A Review.Life (Basel, Switzerland) · 2022Review
- Network analysis of live pig movements in North Macedonia: Pathways for disease spread.Frontiers in veterinary science · 2022Article
- Complex network analysis to understand trading partnership in French swine production.PloS one · 2022Article
- An investigation of transportation practices in an Ontario swine system using descriptive network analysis.PloS one · 2020Article
- The Use of Sheep Movement Data to Inform Design and Interpretation of Slaughterhouse-Based Surveillance Activities.Frontiers in veterinary science · 2020Article
- Article
- Descriptive analysis of horse movement networks during the 2015 equestrian season in Ontario, Canada.PloS one · 2019Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
An understanding of the patterns of animal contact networks provides essential information for the design of risk-based animal disease surveillance and control strategies. This study characterises pig movements throughout England and Wales between 2009 and 2013 with a view to characterising spatial and temporal patterns, network topology and trade communities. Data were extracted from the Animal and Plant Health Agency (APHA)'s RADAR (Rapid Analysis and Detection of Animal-related Risks) database, and analysed using descriptive and network approaches. A total of 61,937,855 pigs were moved through 872,493 movements of batches in England and Wales during the 5-year study period. Results show that the network exhibited scale-free and small-world topologies, indicating the potential for diseases to quickly spread within the pig industry. The findings also provide suggestions for how risk-based surveillance strategies could be optimised in the country by taking account of highly connected holdings, geographical regions and time periods with the greatest number of movements and pigs moved, as these are likely to be at higher risk for disease introduction. This study is also the first attempt to identify trade communities in the country, information which could be used to facilitate the pig trade and maintain disease-free status across the country in the event of an outbreak.
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