ArticleBMC veterinary research2014
EpiContactTrace: an R-package for contact tracing during livestock disease outbreaks and for risk-based surveillance.
Article in BMC veterinary research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of spatial decision support systems in public health informatics supporting the identification of high risk areas for zoonotic disease outbreaks.International journal of health geographics · 2018Pooled it
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- Network analysis of farmed Atlantic salmon movements in British Columbia, Canada.Frontiers in veterinary science · 2025Article
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- Leveraging Polio Geographic Information System Platforms in the African Region for Mitigating COVID-19 Contact Tracing and Surveillance Challenges: Viewpoint.JMIR mHealth and uHealth · 2022Article
- Multiple species animal movements: network properties, disease dynamics and the impact of targeted control actions.Veterinary research · 2022Article
- Complex network analysis to understand trading partnership in French swine production.PloS one · 2022Article
- Using machine learning improves predictions of herd-level bovine tuberculosis breakdowns in Great Britain.Scientific reports · 2021Article
- Effects of trading networks on the risk of bovine tuberculosis incidents on cattle farms in Great Britain.Royal Society open science · 2020Article
- An investigation of transportation practices in an Ontario swine system using descriptive network analysis.PloS one · 2020Article
- EpiExploreR: A Shiny Web Application for the Analysis of Animal Disease Data.Microorganisms · 2019Article
- Risk-based eradication as a control measure to limit the spread of LA-MRSA among Danish pig herds - a simulation study.Scientific reports · 2019Article
- Contact chains of cattle farms in Great Britain.Royal Society open science · 2019Article
- Spatio-temporal modelling of verotoxigenic Escherichia coli O157 in cattle in Sweden: exploring options for control.Veterinary research · 2018Article
- epicontacts: Handling, visualisation and analysis of epidemiological contacts.F1000Research · 2018Article
- Network analysis of pig movements: Loyalty patterns and contact chains of different holding types in Denmark.PloS one · 2017Article
- Bovine respiratory syncytial virus and bovine coronavirus antibodies in bulk tank milk - risk factors and spatial analysis.Preventive veterinary medicine · 2016Article
Corrections and comments
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2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDuring outbreak of livestock diseases, contact tracing can be an important part of disease control. Animal movements can also be of relevance for risk-based surveillance and sampling, i.e. both when assessing consequences of introduction or likelihood of introduction. In many countries, animal movement data are collected with one of the major objectives to enable contact tracing. However, often an analytical step is needed to retrieve appropriate information for contact tracing or surveillance.
resultsIn this study, an open source tool was developed to structure livestock movement data to facilitate contact-tracing in real time during disease outbreaks and for input in risk-based surveillance and sampling. The tool, EpiContactTrace, was written in the R-language and uses the network parameters in-degree, out-degree, ingoing contact chain and outgoing contact chain (also called infection chain), which are relevant for forward and backward tracing respectively. The time-frames for backward and forward tracing can be specified independently and search can be done on one farm at a time or for all farms within the dataset. Different outputs are available; datasets with network measures, contacts visualised in a map and automatically generated reports for each farm either in HTML or PDF-format intended for the end-users, i.e. the veterinary authorities, regional disease control officers and field-veterinarians. EpiContactTrace is available as an R-package at the R-project website (http://cran.r-project.org/web/packages/EpiContactTrace/).
conclusionsWe believe this tool can help in disease control since it rapidly can structure essential contact information from large datasets. The reproducible reports make this tool robust and independent of manual compilation of data. The open source makes it accessible and easily adaptable for different needs.
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