Keywords: R, ggplot2, visualization, research, observational study
Webpages:
https://CRAN.R-project.org/package=ggplot2 In late 2013, Ebola Virus Disease began in Guinea; it later spread to Liberia and subsequently to Sierra Leone in early 2014. Although the three countries were declared Ebola-Free almost a year ago, Ebola survivors are still struggling with lingering issues. In order to better understand post-Ebola sequelae, a Liberian-US partnership called the Partnership for Research on Ebola Virus in Liberia (PREVAIL) is in the midst of a large observational study that plans to follow Ebola survivors and their close contacts for up to 5 years. In this lightning talk, we will use R’s visualization capabilities to guide you through the struggle of Ebola survivors as told by the data from the PREVAIL study. No crowded tables with a long list of symptoms and p-values, but rather beautiful visualizations created using the gglot2 package. At the end of this talk, it is hoped that you will be able to answer questions such as: Where in Liberia do survivors come from? What were their professions before the epidemic? How sick were they? Have they reached complete physical, social, and mental well-being? In the process, we hope you will be compelled to use ggplot2 to increase the overall quality of data visualizations in your reports.
