Document Server@UHasselt >
Research publications >
Please use this identifier to cite or link to this item:
|Title: ||OutbreakTools: A new platform for disease outbreak analysis using the R software|
|Authors: ||Jombart, Thibaut|
Aanensen, David M.
Suchardo, Marc A.
|Issue Date: ||2014|
|Citation: ||Epidemics, 7, p. 28-34|
|Abstract: ||The investigation of infectious disease outbreaks relies on the analysis of increasingly complex and diverse data, which offer new prospects for gaining insights into disease transmission processes and informing public health policies. However, the potential of such data can only be harnessed using a number of different, complementary approaches and tools, and a unified platform for the analysis of disease outbreaks is still lacking. In this paper, we present the new R package OutbreakTools, which aims to provide a basis for outbreak data management and analysis in R. OutbreakTools is developed by a community of epidemiologists, statisticians, modellers and bioinformaticians, and implements classes and methods for storing, handling and visualizing outbreak data. It includes real and simulated outbreak datasets. Together with a number of tools for infectious disease epidemiology recently made available in R, OutbreakTools contributes to the emergence of a new, free and open-source platform for the analysis of disease outbreaks.|
|Notes: ||Jombart, T (reprint author), Univ London Imperial Coll Sci Technol & Med, Sch Publ Hlth, Dept Infect Dis Epidemiol, MRC Ctr Outbreak Anal & Modelling, St Marys Campus,Norfolk Pl, London W2 1PG, England.
|ISI #: ||000338704900005|
|Type: ||Journal Contribution|
|Validation: ||ecoom, 2015|
|Appears in Collections: ||Research publications|
Files in This Item:
|published version||1.8 MB||Adobe PDF|
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.