poliprep is an R package developed by the polio data science team at The World Health Organisation Regional Office for Africa (WHO AFRO). It is designed to assist users who have access to and work with datasets collected as part of the Global Polio Eradication Initiative.
The package offers a number of functions for various tasks, including importing and exporting data, pulling data from relevant APIs, data processing and cleaning, as well as performing validations and checks. It also features the capability to generate reports or scorecards highlighting areas of concern identified during the validation process.
The package can be installed directly using devtools. The steps are as follows:
# 1) Install devtools if you haven't already
install.packages("devtools")
# 2) Install the poliprep package from GitHub
devtools::install_github("WorldHealthOrganization/poliprep")We plan to add a number of functions which do the following:
- Import and export different datasets (tabular, shapefiles, etc.).
- Pull data from ONA using an API call.
- Update data from ONA API without re-downloading.
- Clean and fix names of places including geolocations.
- Match variables naming conventions within two dataframes
- Match variables datatypes within two dataframes
- Process and validate Environmental Surveillance data.
- Process and validate AFP Surveillance data.
- Process and validate Lab data.
- Process and validate SIA data.
- Process and validate eSURV data.
- Process reports and scorecards.
For any issues or questions about poliprep, please contact Mo at [email protected].
We welcome contributions via forking and pull requests. For guidance and best practices, please follow WHO's Contribution Guidelines. Additionally, before any contribution, please ensure you are familiar with WHO's Contributor Covenant Code of Conduct.