ArticleVeterinary research2015
Modelling of paratuberculosis spread between dairy cattle farms at a regional scale.
Article in 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.
- High Molecular Diversity ofInternational journal of molecular sciences · 2025Article
- Rewiring cattle movements to limit infection spread.Veterinary research · 2024Article
- Computing Geographical Networks Generated by Air-Mass Movement.GeoHealth · 2023Article
- Modelling transmission of Mycobacterium avium subspecies paratuberculosis between Irish dairy cattle herds.Veterinary research · 2022Article
- Quantitative Risk Assessment of Exposure toFoods (Basel, Switzerland) · 2022Article
- Modeling Paratuberculosis Transmission in a Small Dairy Herd Typical of Slovenia Suggests That Different Models Should Be Used to Study Disease Spread in Herds of Different Sizes.Animals : an open access journal from MDPI · 2022Article
- Towards a Framework for High-Performance Simulation of Livestock Disease Outbreak: A Case Study of Spread of African Swine Fever in Vietnam.Animals : an open access journal from MDPI · 2021Article
- Transmission Dynamics of Bovine Viral Diarrhea Virus in Hokkaido, Japan by Phylogenetic and Epidemiological Network Approaches.Pathogens (Basel, Switzerland) · 2021Article
- Modelling spread and surveillance of Mycobacterium avium subsp. paratuberculosis in the Swedish cattle trade network.Preventive veterinary medicine · 2020Article
- Article
- Neighbourhood contacts and trade movements drive the regional spread of bovine viral diarrhoea virus (BVDV).Veterinary research · 2019Article
- Implications of Cattle Trade for the Spread and Control of Infectious Diseases in Slovenia.Frontiers in veterinary science · 2019Article
- Control measures to prevent the increase of paratuberculosis prevalence in dairy cattle herds: an individual-based modelling approach.Veterinary research · 2018Article
- Predictive gravity models of livestock mobility in Mauritania: The effects of supply, demand and cultural factors.PloS one · 2018Article
- Combining network analysis with epidemiological data to inform risk-based surveillance: Application to hepatitis E virus (HEV) in pigs.Preventive veterinary medicine · 2018Article
- A modelling framework based on MDP to coordinate farmers' disease control decisions at a regional scale.PloS one · 2018Article
- Which phenotypic traits of resistance should be improved in cattle to control paratuberculosis dynamics in a dairy herd: a modelling approach.Veterinary research · 2017Article
- Complex responses to movement-based disease control: when livestock trading helps.Journal of the Royal Society, Interface · 2017Article
- Data-driven network modelling of disease transmission using complete population movement data: spread of VTEC O157 in Swedish cattle.Veterinary research · 2016Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mycobacterium avium subsp. paratuberculosis (Map) causes Johne's disease, with large economic consequences for dairy cattle producers worldwide. Map spread between farms is mainly due to animal movements. Locally, herd size and management are expected to influence infection dynamics. To provide a better understanding of Map spread between dairy cattle farms at a regional scale, we describe the first spatio-temporal model accounting simultaneously for population and infection dynamics and indirect local transmission within dairy farms, and between-farm transmission through animal trade. This model is applied to Brittany, a French region characterized by a high density of dairy cattle, based on data on animal trade, herd size and farm management (birth, death, renewal, and culling) from 2005 to 2013 for 12,857 dairy farms. In all simulated scenarios, Map infection highly persisted at the metapopulation scale. The characteristics of initially infected farms strongly impacted the regional Map spread. Network-related features of incident farms influenced their ability to contaminate disease-free farms. At the herd level, we highlighted a balanced effect of the number of animals purchased: when large, it led to a high probability of farm infection but to a low persistence. This effect was reduced when prevalence in initially infected farms increased. Implications of our findings in the current enzootic situation are that the risk of infection quickly becomes high for farms buying more than three animals per year. Even in regions with a low proportion of infected farms, Map spread will not fade out spontaneously without the use of effective control strategies.
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