getTBinR 0.7.0 should now be available on CRAN. This release includes some new experimental data (TB incidence by age and sex) that for now is only partly supported by {getTBinR}. It also brings {getTBinR} into line with new (or new to me) {ggplot2} best practices. This involved two major changes (plans are also afoot for an S3 plot method):
Moving from a full @import of {ggplot2} to only using @importFrom for required functions (something that I had previously been too lazy to do…).
Bacillus Calmette–Guérin (BCG) remains the only licensed vaccine against Tuberculosis (TB). In 2005, England changed from universal vaccination of school-age children to targeted vaccination of high-risk neonates. Little work has been done to assess the impact of this policy change. This thesis evaluates the impact of this change.
Last week the UK pledged to contribute £467m a year for three years to the Global Fund. The money will be spent on: providing tuberculosis (TB) treatment for more than two million people; 90 million mosquito nets to protect people from malaria; and treatment for more than three million people living with HIV. This funding will drastically improve many peoples lives and needs to be celebrated even if it comes from a broadly unpopular source.
getTBinR 0.6.0 is now on CRAN and should be available on a mirror near you shortly! This update includes multiple new Tuberculosis datasets - increasing the available number of variables through getTBinR from 80 to over 450. To help support these new datasets the package now contains a dataframe listing the available datasets and search_data_dict can now also be used to search the data dictionary for variables by dataset. On top of this, this update contains suggested changes by reviewers (@rrrlw and @strengejacke) from JOSS (see here for the review thread).
getTBinR 0.5.7 is now on CRAN and should be available on a mirror near you shortly! This update mainly focussed on building out new country level Tuberculosis (TB) report functionality but along the way this led to a new summary plotting function that quickly and easily shows TB trends across regions and globally. I also had some fun developing a hexsticker (Tweet at me with something you made using the package to get a physical version - whilst my postage money lasts…), reducing the dependencies with itdepends and pkgnet and dealing with some breaking changes from an uncoming dplyr update (my own fault for missing a function import).
getTBinR 0.5.5 is now on CRAN and should be available on a mirror near you shortly! This update is mainly about highlighting the availability of TB data for 2017, although some small behind the scenes changes were required to get the code set up going forward for yearly updates. A few more plotting options have been added, along with the corresponding tests (definitely the most exciting news). The full changelog is below along with a short example highlighting some of the changes in the 2017 data.
getTBinR 0.5.4 is now on CRAN and should be available on a mirror near you shortly! This update includes an additional data set for 2016 containing variables related to drug resistant Tuberculosis, some aesthetic updates to mapping functionality and a new summarise_tb_burden function for summarising TB metrics. Behind the scenes there has been an extensive test overhaul, with vdiffr being used to test images, and several bugs fixes. See below for a full list of changes and some example code exploring the new functionality.