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epicontacts: Handling, visualisation and analysis of epidemiological contacts
Epidemiological outbreak data is often captured in line list and contact format to facilitate contact tracing for outbreak control. epicontacts is an R package that provides a unique data structure for combining these data into a single object in order to facilitate more efficient visualisation and...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572866/ https://www.ncbi.nlm.nih.gov/pubmed/31240097 http://dx.doi.org/10.12688/f1000research.14492.2 |
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author | Nagraj, VP Randhawa, Nistara Campbell, Finlay Crellen, Thomas Sudre, Bertrand Jombart, Thibaut |
author_facet | Nagraj, VP Randhawa, Nistara Campbell, Finlay Crellen, Thomas Sudre, Bertrand Jombart, Thibaut |
author_sort | Nagraj, VP |
collection | PubMed |
description | Epidemiological outbreak data is often captured in line list and contact format to facilitate contact tracing for outbreak control. epicontacts is an R package that provides a unique data structure for combining these data into a single object in order to facilitate more efficient visualisation and analysis. The package incorporates interactive visualisation functionality as well as network analysis techniques. Originally developed as part of the Hackout3 event, it is now developed, maintained and featured as part of the R Epidemics Consortium (RECON). The package is available for download from the Comprehensive R Archive Network (CRAN) and GitHub. |
format | Online Article Text |
id | pubmed-6572866 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-65728662019-06-24 epicontacts: Handling, visualisation and analysis of epidemiological contacts Nagraj, VP Randhawa, Nistara Campbell, Finlay Crellen, Thomas Sudre, Bertrand Jombart, Thibaut F1000Res Software Tool Article Epidemiological outbreak data is often captured in line list and contact format to facilitate contact tracing for outbreak control. epicontacts is an R package that provides a unique data structure for combining these data into a single object in order to facilitate more efficient visualisation and analysis. The package incorporates interactive visualisation functionality as well as network analysis techniques. Originally developed as part of the Hackout3 event, it is now developed, maintained and featured as part of the R Epidemics Consortium (RECON). The package is available for download from the Comprehensive R Archive Network (CRAN) and GitHub. F1000 Research Limited 2018-10-11 /pmc/articles/PMC6572866/ /pubmed/31240097 http://dx.doi.org/10.12688/f1000research.14492.2 Text en Copyright: © 2018 Nagraj V et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Nagraj, VP Randhawa, Nistara Campbell, Finlay Crellen, Thomas Sudre, Bertrand Jombart, Thibaut epicontacts: Handling, visualisation and analysis of epidemiological contacts |
title | epicontacts: Handling, visualisation and analysis of epidemiological contacts |
title_full | epicontacts: Handling, visualisation and analysis of epidemiological contacts |
title_fullStr | epicontacts: Handling, visualisation and analysis of epidemiological contacts |
title_full_unstemmed | epicontacts: Handling, visualisation and analysis of epidemiological contacts |
title_short | epicontacts: Handling, visualisation and analysis of epidemiological contacts |
title_sort | epicontacts: handling, visualisation and analysis of epidemiological contacts |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572866/ https://www.ncbi.nlm.nih.gov/pubmed/31240097 http://dx.doi.org/10.12688/f1000research.14492.2 |
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