countrycode (>= 1.2.0), dplyr, httr, lifecycle, lubridate,
magrittr, memoise, purrr, R6, readxl, rlang, stringr, tibble,
tidyr (>= 1.0.0), tidyselect, vroom, withr, xml2
ggplot2, knitr, mockery, pkgdown, rmarkdown, rvest,
rworldmap, spelling, testthat (>= 3.0.0), usethis

Subnational Data for COVID-19 Epidemiology
c(person(given = "Joseph",
family = "Palmer",
role = "aut",
email = "joe.palmer.2019@live.rhul.ac.uk",
comment = c(ORCID = "0000-0002-5593-9352")),
person(given = "Katharine",
family = "Sherratt",
role = "aut",
email = "katharine.sherratt@lshtm.ac.uk",
comment = c(ORCID = "0000-0003-2049-3423")),
person(given = "Richard",
family = "Martin-Nielsen",
role = "aut",
comment = c(URL = "https://github.com/RichardMN")),
person(given = "Jonnie",
family = "Bevan",
role = "aut",
email = "jonnie.bevan@tessella.com"),
person(given = "Hamish",
family = "Gibbs",
role = "aut",
email = "Hamish.Gibbs@lshtm.ac.uk",
comment = c(ORCID = "0000-0003-4413-453X")),
person(given = "Sophie",
family = "Meakin",
role = "ctb",
email = "sophie.meaking@lshtm.ac.uk"),
person(given = "Joel",
family = "Hellewell",
role = "ctb",
email = "joel.hellewell@lshtm.ac.uk",
comment = c(ORCID = "0000-0003-2683-0849")),
person(given = "Patrick",
family = "Barks",
role = "ctb",
email = "patrick.barks@epicentre.msf.org"),
person(given = "Paul",
family = "Campbell",
role = "ctb",
email = " paul.campbell@epicentre.msf.org"),
person(given = "Flavio",
family = "Finger",
role = "ctb",
email = "flavio.finger@epicentre.msf.org",
comment = c(ORCID = "0000-0002-8613-5170")),
person(given = "Richard",
family = "Boyes",
role = "ctb",
comment = c(URL = "https://github.com/rboyes")),
person(given = "Hugo",
family = "Gruson",
role = "ctb",
comment = c(ORCID = "0000-0002-4094-1476")),
person(given = "Sebastian",
family = "Funk",
role = "aut",
email = "sebastian.funk@lshtm.ac.uk"),
person(given = "Sam Abbott",
role = c("aut", "cre"),
email = "sam.abbott@lshtm.ac.uk",
comment = c(ORCID = "0000-0001-8057-8037")))
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.
ggplot2, ggspatial, knitr, mockery, pkgdown, rmarkdown,
rvest, rworldmap, sf, spelling, testthat (>= 3.0.0), usethis
Joseph Palmer [aut] (<https://orcid.org/0000-0002-5593-9352>),
Katharine Sherratt [aut] (<https://orcid.org/0000-0003-2049-3423>),
Richard Martin-Nielsen [aut] (https://github.com/RichardMN),
Jonnie Bevan [aut],
Hamish Gibbs [aut] (<https://orcid.org/0000-0003-4413-453X>),
Sophie Meakin [ctb],
Joel Hellewell [ctb] (<https://orcid.org/0000-0003-2683-0849>),
Patrick Barks [ctb],
Paul Campbell [ctb],
Flavio Finger [ctb] (<https://orcid.org/0000-0002-8613-5170>),
Richard Boyes [ctb] (https://github.com/rboyes),
Hugo Gruson [ctb] (<https://orcid.org/0000-0002-4094-1476>),
Sebastian Funk [aut],
Sam Abbott [aut, cre] (<https://orcid.org/0000-0001-8057-8037>)