ArticleScientific reports2017
Modelling farm-to-farm disease transmission through personnel movements: from visits to contacts, and back.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 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
- Are Visitor and Personnel Downtime Restrictions an Effective Biosecurity Measure to Prevent the Indirect Transmission of Pathogens to Livestock?Animals : an open access journal from MDPI · 2026Review
- Article
- Biosecurity Implications, Transmission Routes and Modes of Economically Important Diseases in Domestic Fowl and Turkey.Veterinary sciences · 2025Review
- The effect of temporal resolution and contact duration on Real-Time location system-based contact networks for confined feedlot cattle.Preventive veterinary medicine · 2025Article
- Identifying effective surveillance measures for swine pathogens using contact networks and mathematical modeling.PloS one · 2025Article
- Analysis of within-pen and between-pen fenceline temporal contact networks in confined feedlot cattle.Preventive veterinary medicine · 2024Article
- Herd-Level Modeling of Bovine Viral Diarrhea Virus (BVDV) Transmission in Cattle Herds in Southern Chile: Linking Within and Between-Herd Dynamics.Transboundary and emerging diseases · 2024Article
- Article
- Genome-associations of extended-spectrum ß-lactamase producing (ESBL) or AmpC producing E. coli in small and medium pig farms from Khon Kaen province, Thailand.BMC microbiology · 2022Article
- Modelling and assessing additional transmission routes for porcine reproductive and respiratory syndrome virus: Vehicle movements and feed ingredients.Transboundary and emerging diseases · 2022Article
- On the optimal control of SIR model with Erlang-distributed infectious period: isolation strategies.Journal of mathematical biology · 2021Article
- Simulating human behavioral changes in livestock production systems during an epidemic: The case of the US beef cattle industry.PloS one · 2021Article
- Risk factors for the incursion, spread and persistence of the foot and mouth disease virus in Eastern Rwanda.BMC veterinary research · 2020Article
- Risk Assessment Program of Highly Pathogenic Avian Influenza with Deep Learning Algorithm.Osong public health and research perspectives · 2020Article
- Seroprevalences of multi-pathogen and description of farm movement in pigs in two provinces in Vietnam.BMC veterinary research · 2020Article
- Impact of truck contamination and information sharing on foot-and-mouth disease spreading in beef cattle production systems.PloS one · 2020Article
- Analysing livestock network data for infectious disease control: an argument for routine data collection in emerging economies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019Article
- Contact chains of cattle farms in Great Britain.Royal Society open science · 2019Article
- When resolution does matter: Modelling indirect contacts in dairy farms at different levels of detail.PloS one · 2019Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infectious diseases in livestock can be transmitted through fomites: objects able to convey infectious agents. Between-farm spread of infections through fomites is mostly due to indirect contacts generated by on-farm visits of personnel that can carry pathogens on their clothes, equipment, or vehicles. However, data on farm visitors are often difficult to obtain because of the heterogeneity of their nature and privacy issues. Thus, models simulating disease spread between farms usually rely on strong assumptions about the contribution of indirect contacts on infection spread. By using data on veterinarian on-farm visits in a dairy farm system, we built a simple simulation model to assess the role of indirect contacts on epidemic dynamics compared to cattle movements (i.e. direct contacts). We showed that including in the simulation model only specific subsets of the information available on indirect contacts could lead to outputs widely different from those obtained with the full-information model. Then, we provided a simple preferential attachment algorithm based on the probability to observe consecutive on-farm visits from the same operator that allows overcoming the information gaps. Our results suggest the importance of detailed data and a deeper understanding of visit dynamics for the prevention and control of livestock diseases.
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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.