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Forecasting future global Tuberculosis incidence

This repository explores various methods to forecast future Tuberculosis incidence rates. It uses data from the WHO, using the getTBinR package.

Docker

This analysis was developed in a docker container based on the tidyverse docker image. To run the docker image run:

docker pull seabbs/forecastingglobaltb
docker run -d -p 8787:8787 -p 54321:54321 -e USER=ForecastingGlobalTB -e PASSWORD=ForecastingGlobalTB --name ForecastingGlobalTB seabbs/forecastingglobaltb

The rstudio client can be found on port :8787 at your local machines ip. The default username:password is seabbs:seabbs, set the user with -e USER=username, and the password with - e PASSWORD=newpasswordhere. For me details see the rocker/tidyverse docker image.