covidregionaldata: Subnational Data for the Covid-19 Outbreak

An interface to subnational and national level Covid-19 data. For all countries supported, this includes a daily time-series of cases. Wherever available we also provide data on deaths, hospitalisations, and tests. National level data is also supported using a range of data sources as well as linelist data and links to intervention data sets. Data sources included: WHO <https://covid19.who.int>; ACAPS interventions <https://data.humdata.org/dataset/acaps-covid19-government-measures-dataset>; patient linelist: <https://github.com/beoutbreakprepared/nCoV2019>), regional data (Afghanistan: <https://data.humdata.org/dataset/afghanistan-covid-19-statistics-per-province>; Belgium: <https://epistat.wiv-isp.be/covid/>; Brazil: <https://github.com/wcota/covid19br>; Canada: <https://health-infobase.canada.ca/>; Colombia: <https://github.com/danielcs88/colombia_covid-19>; Germany: <https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets/dd4580c810204019a7b8eb3e0b329dd6_0>; India: <https://api.covid19india.org/>; Italy: <https://github.com/pcm-dpc/COVID-19>; Russia: <https://github.com/grwlf/COVID-19_plus_Russia>; UK: <https://coronavirus.data.gov.uk>; USA: <https://github.com/nytimes/covid-19-data>), and geocoding data (Colombia: <https://en.wikipedia.org/wiki/ISO_3166-2:CO>; Russia: <https://en.wikipedia.org/wiki/ISO_3166-2:RU>).

Version: 0.6.0
Depends: R (≥ 2.10)
Imports: readr, dplyr, tibble, purrr, stringr, magrittr, memoise, lubridate, tidyr (≥ 1.0.0), httr, yaml, readxl, xml2, rvest, jsonlite, countrycode
Suggests: data.table, pkgdown, testthat, spelling
Published: 2020-08-27
Author: Sam Abbott ORCID iD [aut, cre], Katharine Sherratt ORCID iD [aut], Jonnie Bevan [aut], Hamish Gibbs ORCID iD [aut], Joel Hellewell ORCID iD [aut], James Munday [aut], Patrick Barks [ctb], Paul Campbell [aut], Flavio Finger ORCID iD [ctb], Sebastian Funk [aut]
Maintainer: Sam Abbott <sam.abbott at lshtm.ac.uk>
BugReports: https://github.com/epiforecasts/covidregionaldata/issues
License: MIT + file LICENSE
URL: https:/epiforecasts.io/covidregionaldata, https://github.com/epiforecasts/covidregionaldata
NeedsCompilation: no
Language: en-gb
Materials: README NEWS
CRAN checks: covidregionaldata results

Downloads:

Reference manual: covidregionaldata.pdf
Package source: covidregionaldata_0.6.0.tar.gz
Windows binaries: r-devel: covidregionaldata_0.6.0.zip, r-release: covidregionaldata_0.6.0.zip, r-oldrel: not available
macOS binaries: r-release: covidregionaldata_0.6.0.tgz, r-oldrel: not available
Old sources: covidregionaldata archive

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