Using WHO Tuberculosis data to forecast future incidence rates
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This repository explores various methods to forecast future Tuberculosis incidence rates. It uses data from the WHO, using the getTBinR package.
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.
Content type
Image
Digest
Size
1.3 GB
Last updated
about 5 years ago
docker pull seabbs/forecastingglobaltb