Abbott, S, Bekker-Nielsen Dunbar, M and Smith, A. 2020. seabbs/getTBinR. [Online]. Zenodo. Available from: https://doi.org/10.5281/zenodo.2547405
Abbott, S, Bekker-Nielsen Dunbar, M and Smith, A. seabbs/getTBinR [Internet]. Zenodo; 2020. Available from: https://doi.org/10.5281/zenodo.2547405
Abbott, S, Bekker-Nielsen Dunbar, M and Smith, A (2020). seabbs/getTBinR. [Data Collection]. Zenodo. https://doi.org/10.5281/zenodo.2547405
Description
Quickly and easily import analysis ready Tuberculosis (TB) burden data, from the World Health Organization (WHO), into R. The aim of getTBinR is to allow researchers, and other interested individuals, to quickly and easily gain access to a detailed TB data set and to start using it to derive key insights. It provides a consistent set of tools that can be used to rapidly evaluate hypotheses on a widely used data set before they are explored further using more complex methods or more detailed data. These tools include: generic plotting and mapping functions; a data dictionary search tool; an interactive shiny dashboard; and an automated, country level, TB report. For newer R users, this package reduces the barrier to entry by handling data import, munging, and visualisation. All plotting and mapping functions are built with ggplot2 so can be readily extended. See here for the WHO data permissions. For help getting started see the Getting Started vignette and for a case study using the package see the Exploring Global Trends in Tuberculosis Incidence Rates vignette.
Keywords
Data capture method | Other |
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Date (Date published in a 3rd party system) | 11 June 2020 |
Language(s) of written materials | English |
Data Creators | Abbott, S, Bekker-Nielsen Dunbar, M and Smith, A |
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LSHTM Faculty/Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology |
Participating Institutions | London School of Hygiene & Tropical Medicine, London, United Kingdom |
Date Deposited | 16 Aug 2021 09:48 |
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Last Modified | 16 Aug 2021 09:48 |
Publisher | Zenodo |