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epiforecasts/covidregionaldata: JHU and Google support

Sam Abbott; Joe Palmer; Kath Sherratt; Jonnie-Bevan; Richard Martin-Nielsen; hamishgibbs; Flavio Finger; Hugo Gruson; Sebastian Funk; Joel Hellewell; Paul Campbell; Richard Boyes; Patrick Barks; Maria; Haze Lee; joeHickson; Sophie Meakin


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  <dc:creator>Sam Abbott</dc:creator>
  <dc:creator>Joe Palmer</dc:creator>
  <dc:creator>Kath Sherratt</dc:creator>
  <dc:creator>Jonnie-Bevan</dc:creator>
  <dc:creator>Richard Martin-Nielsen</dc:creator>
  <dc:creator>hamishgibbs</dc:creator>
  <dc:creator>Flavio Finger</dc:creator>
  <dc:creator>Hugo Gruson</dc:creator>
  <dc:creator>Sebastian Funk</dc:creator>
  <dc:creator>Joel Hellewell</dc:creator>
  <dc:creator>Paul Campbell</dc:creator>
  <dc:creator>Richard Boyes</dc:creator>
  <dc:creator>Patrick Barks</dc:creator>
  <dc:creator>Maria</dc:creator>
  <dc:creator>Haze Lee</dc:creator>
  <dc:creator>joeHickson</dc:creator>
  <dc:creator>Sophie Meakin</dc:creator>
  <dc:date>2021-05-07</dc:date>
  <dc: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.
</dc:description>
  <dc:identifier>https://zenodo.org/record/4742548</dc:identifier>
  <dc:identifier>10.5281/zenodo.4742548</dc:identifier>
  <dc:identifier>oai:zenodo.org:4742548</dc:identifier>
  <dc:relation>url:https://github.com/epiforecasts/covidregionaldata/tree/v0.9.1</dc:relation>
  <dc:relation>doi:10.5281/zenodo.3957539</dc:relation>
  <dc:relation>url:https://zenodo.org/communities/covid-19</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:title>epiforecasts/covidregionaldata: JHU and Google support</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>software</dc:type>
</oai_dc:dc>
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