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Published May 7, 2021 | Version v0.9.1
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epiforecasts/covidregionaldata: 0.9.1: JHU and Google support

  • 1. @epiforecasts @cmmid
  • 2. Royal Holloway University of London
  • 3. London School of Hygiene and Tropical Medicine
  • 4. LSHTM
  • 5. London School of Hygiene & Tropical Medicine
  • 6. @epicentre-msf
  • 7. Centrica PLC
  • 8. EBPI @uzh
  • 9. @goodoc
  • 10. @MetOffice

Description

This release adds support for data sets from John Hopkins University and the Google open data project. Both of these sources aggregate a range of data at national and subnational levels. It also contains a range of small fixes and improvements to documentation. Finally, this release adds optional data processing which will be extended in future releases (contributions warmly welcomed).

Thanks to @joseph-palmer, @RichardMN, and @kathsherratt for contributions towards this release.

New features
  • Support for data provided by John Hopkins University (by @joseph-palmer).
  • Support for data provided by Google COVID-19 open data project (by @joseph-palmer).
  • Added a available_regions method for all classes that shows level 1 regions with data available for the region of interest. This is of particular use when combined with the JHU or Google datasets where processing a large number of regions that are not required can take some time.
  • Adds support for JHU or Google data to get_national_data(). This may also now be used to access lower level data from these sources but it may be better to instead use the classes directly or via initialise_dataclass().
Other changes
  • The optional downloading of NHS region data in the UK() has been improved to include both the dynamic data previously supported and the archive document now produced (by @kathsherratt).
  • The examples for the UK() class have been expanded to better showcase the package functionality.
  • The documentation and examples for get_regional_data(), get_national_data(), and get_available_datasets() has been expanded with a focus on increasing the visibility of the underlying package structure.
  • The documentation and examples for initialise_dataclass(), DataClass(), and CountryDataClass() has been expanded and improved.
  • Improvements to the linking of documentation for related functions and classes.
  • Improvements to the documentation for contributors (by @RichardMN).
  • Improvements to the pkgdown documentation to organise packages into appropriate subcategories.

Files

epiforecasts/covidregionaldata-v0.9.1.zip

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