ArticleRoyal Society open science2019
Contact chains of cattle farms in Great Britain.
Article in Royal Society open science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Simulating contact networks for livestock disease epidemiology: a systematic review.Journal of the Royal Society, Interface · 2023Pooled it
- The spectral underpinnings of pathogen spread on animal networks.Proceedings. Biological sciences · 2023Article
- Multiple species animal movements: network properties, disease dynamics and the impact of targeted control actions.Veterinary research · 2022Article
- Bovine tuberculosis in youngstock cattle: A narrative review.Frontiers in veterinary science · 2022Review
- Generative models of network dynamics provide insight into the effects of trade on endemic livestock disease.Royal Society open science · 2021Article
- Characterization of potential superspreader farms for bovine tuberculosis: A review.Veterinary medicine and science · 2021Review
- Use of Network Analysis and Spread Models to Target Control Actions for Bovine Tuberculosis in a State from Brazil.Microorganisms · 2021Article
- The role of social structure and dynamics in the maintenance of endemic disease.Behavioral ecology and sociobiology · 2021Review
- Article
- Effects of trading networks on the risk of bovine tuberculosis incidents on cattle farms in Great Britain.Royal Society open science · 2020Article
- Variation in Mycobacterium bovis genetic richness suggests that inwards cattle movements are a more important source of infection in beef herds than in dairy herds.BMC microbiology · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Network analyses can assist in predicting the course of epidemics. Time-directed paths or 'contact chains' provide a measure of host-connectedness across specified timeframes, and so represent potential pathways for spread of infections with different epidemiological characteristics. We analysed networks and contact chains of cattle farms in Great Britain using Cattle Tracing System data from 2001 to 2015. We focused on the potential for between-farm transmission of bovine tuberculosis, a chronic infection with potential for hidden spread through the network. Networks were characterized by scale-free type properties, where individual farms were found to be influential 'hubs' in the network. We found a markedly bimodal distribution of farms with either small or very large ingoing and outgoing contact chains (ICCs and OCCs). As a result of their cattle purchases within 12-month periods, 47% of British farms were connected by ICCs to more than 1000 other farms and 16% were connected to more than 10 000 other farms. As a result of their cattle sales within 12-month periods, 66% of farms had OCCs that reached more than 1000 other farms and 15% reached more than 10 000 other farms. Over 19 000 farms had both ICCs and OCCs reaching more than 10 000 farms for two or more years. While farms with more contacts in their ICCs
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