Cargando…
Epidemic curves made easy using the R package incidence
The epidemiological curve (epicurve) is one of the simplest yet most useful tools used by field epidemiologists, modellers, and decision makers for assessing the dynamics of infectious disease epidemics. Here, we present the free, open-source package incidence for the R programming language, which a...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509961/ https://www.ncbi.nlm.nih.gov/pubmed/31119031 http://dx.doi.org/10.12688/f1000research.18002.1 |
_version_ | 1783417354370154496 |
---|---|
author | Kamvar, Zhian N. Cai, Jun Pulliam, Juliet R.C. Schumacher, Jakob Jombart, Thibaut |
author_facet | Kamvar, Zhian N. Cai, Jun Pulliam, Juliet R.C. Schumacher, Jakob Jombart, Thibaut |
author_sort | Kamvar, Zhian N. |
collection | PubMed |
description | The epidemiological curve (epicurve) is one of the simplest yet most useful tools used by field epidemiologists, modellers, and decision makers for assessing the dynamics of infectious disease epidemics. Here, we present the free, open-source package incidence for the R programming language, which allows users to easily compute, handle, and visualise epicurves from unaggregated linelist data. This package was built in accordance with the development guidelines of the R Epidemics Consortium (RECON), which aim to ensure robustness and reliability through extensive automated testing, documentation, and good coding practices. As such, it fills an important gap in the toolbox for outbreak analytics using the R software, and provides a solid building block for further developments in infectious disease modelling. incidence is available from https://www.repidemicsconsortium.org/incidence. |
format | Online Article Text |
id | pubmed-6509961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-65099612019-05-21 Epidemic curves made easy using the R package incidence Kamvar, Zhian N. Cai, Jun Pulliam, Juliet R.C. Schumacher, Jakob Jombart, Thibaut F1000Res Software Tool Article The epidemiological curve (epicurve) is one of the simplest yet most useful tools used by field epidemiologists, modellers, and decision makers for assessing the dynamics of infectious disease epidemics. Here, we present the free, open-source package incidence for the R programming language, which allows users to easily compute, handle, and visualise epicurves from unaggregated linelist data. This package was built in accordance with the development guidelines of the R Epidemics Consortium (RECON), which aim to ensure robustness and reliability through extensive automated testing, documentation, and good coding practices. As such, it fills an important gap in the toolbox for outbreak analytics using the R software, and provides a solid building block for further developments in infectious disease modelling. incidence is available from https://www.repidemicsconsortium.org/incidence. F1000 Research Limited 2019-01-31 /pmc/articles/PMC6509961/ /pubmed/31119031 http://dx.doi.org/10.12688/f1000research.18002.1 Text en Copyright: © 2019 Kamvar ZN 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 Kamvar, Zhian N. Cai, Jun Pulliam, Juliet R.C. Schumacher, Jakob Jombart, Thibaut Epidemic curves made easy using the R package incidence |
title | Epidemic curves made easy using the R package
incidence
|
title_full | Epidemic curves made easy using the R package
incidence
|
title_fullStr | Epidemic curves made easy using the R package
incidence
|
title_full_unstemmed | Epidemic curves made easy using the R package
incidence
|
title_short | Epidemic curves made easy using the R package
incidence
|
title_sort | epidemic curves made easy using the r package
incidence |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6509961/ https://www.ncbi.nlm.nih.gov/pubmed/31119031 http://dx.doi.org/10.12688/f1000research.18002.1 |
work_keys_str_mv | AT kamvarzhiann epidemiccurvesmadeeasyusingtherpackageincidence AT caijun epidemiccurvesmadeeasyusingtherpackageincidence AT pulliamjulietrc epidemiccurvesmadeeasyusingtherpackageincidence AT schumacherjakob epidemiccurvesmadeeasyusingtherpackageincidence AT jombartthibaut epidemiccurvesmadeeasyusingtherpackageincidence |