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epiforecasts/covidregionaldata: JHU and Google support

Authors: Sam Abbott; Joe Palmer; Kath Sherratt; Jonnie-Bevan; Richard Martin-Nielsen; hamishgibbs; Flavio Finger; +10 Authors

epiforecasts/covidregionaldata: JHU and Google support

Abstract

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.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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