I've taken data from the CFR on vaccine-preventable outbreaks to create maps showing the likelihood of other outbreaks using maximum entropy modeling. Currently the range of predictors is climatic but I hope to add socioeconomic ones as well such as population density.
They Shiny app can be run with the command runGitHub() using the shiny package, everything should be handled automatically from there with regards to downloading and unpacking data. You'll need the shiny and shinyBS packages installed along with dismo before running. The model does take a while to run (it's a Java backend and it depends on number of predictors chosen).
Note: Installing/running dismo::maxent can be an cumbersome, see the documentation for more guidance. You will need to provide information at the provider's site in order to download the .jar file which will be then placed in the system.file("java", package="dismo") directory.
library(shiny)
library(shinyBS)
shiny::runGitHub("TomNash/CFR-outbreaks", launch.browser = TRUE)