Subnational Data for COVID-19 Epidemiology

An interface to subnational and national level COVID-19 data sourced from both official sources, such as Public Health England in the UK, and from other COVID-19 data collections, including the World Health Organisation (WHO), European Centre for Disease Prevention and Control (ECDC), John Hopkins University (JHU), Google Open Data and others. Designed to streamline COVID-19 data extraction, cleaning, and processing from a range of data sources in an open and transparent way. This allows users to inspect and scrutinise the data, and tools used to process it, at every step. For all countries supported, data includes a daily time-series of cases. Wherever available data is also provided for deaths, hospitalisations, and tests. National level data are also supported using a range of sources as well as line list data and links to intervention data sets.


News

Reference manual

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install.packages("covidregionaldata")

0.9.2 by Sam Abbott, 22 days ago


https://epiforecasts.io/covidregionaldata/, https://github.com/epiforecasts/covidregionaldata/


Report a bug at https://github.com/epiforecasts/covidregionaldata/issues/


Browse source code at https://github.com/cran/covidregionaldata


Authors: Joseph Palmer [aut] , Katharine Sherratt [aut] , Richard Martin-Nielsen [aut] (https://github.com/RichardMN) , Jonnie Bevan [aut] , Hamish Gibbs [aut] , Sophie Meakin [ctb] , Joel Hellewell [ctb] , Patrick Barks [ctb] , Paul Campbell [ctb] , Flavio Finger [ctb] , Richard Boyes [ctb] (https://github.com/rboyes) , Hugo Gruson [ctb] , Sebastian Funk [aut] , Sam Abbott [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports countrycode, dplyr, httr, lifecycle, lubridate, magrittr, memoise, purrr, R6, readxl, rlang, stringr, tibble, tidyr, tidyselect, vroom, withr, xml2

Suggests ggplot2, ggspatial, knitr, mockery, pkgdown, rmarkdown, rvest, rworldmap, sf, spelling, testthat, usethis


See at CRAN