person(given = "Amanda",
family = "Dobbyn",
role = c("aut", "cre"),
email = "amanda.e.dobbyn@gmail.com")
Imports and cleans 'opencovid19-fr'
<https://github.com/opencovid19-fr/data> data on COVID-19 in France.

Pulling Clean Data from Covid19india.org
person("Max", "Salvatore", email = "mmsalva@umich.edu", role = c("aut", "cre"))
Pull raw and pre-cleaned versions of national and state-level
COVID-19 time-series data from covid19india.org <https://www.covid19india.org>.
Easily obtain and merge case count data, testing data, and vaccine data.
Also assists in calculating the time-varying effective reproduction number
with sensible parameters for COVID-19.
EpiEstim, cli, dplyr, gt, httr, tibble, tidyr, tidyverse,
glue, janitor, magrittr, scales, purrr, readr, stringr,
tidyselect

c(person("Max", "Salvatore", email = "mmsalva@umich.edu", role = c("aut", "cre")),
person("Michael", "Kleinsasser", email = "mkleinsa@umich.edu", role = c("aut")))
EpiEstim, cli, dplyr, gt, httr, tibble, tidyr, glue, janitor,
magrittr, scales, purrr, readr, stringr, tidyselect
Max Salvatore [aut, cre],
Michael Kleinsasser [aut]

data.table (>= 1.14.1), EpiEstim, cli, gt, httr, glue,
janitor, scales, stringr, magrittr

The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Italy Dataset
Provides a daily summary of the Coronavirus (COVID-19) cases in Italy by country, region and province level. Data source: Presidenza del Consiglio dei Ministri - Dipartimento della Protezione Civile <http://www.protezionecivile.it/>.

Provides a daily summary of the Coronavirus (COVID-19) cases in Italy by country, region and province level. Data source: Presidenza del Consiglio dei Ministri - Dipartimento della Protezione Civile <https://www.protezionecivile.it/>.

person(given = "Koji",
family = "Higuchi",
role = c("aut", "cre"),
email = "kojih9@gmail.com")
Ready to use Japanese covid-19 datasets.
testthat, purrr, dplyr, readr, jsonlite, log4r, rJava,
tabulizer, modules, stringr, rvest, xml2, pointblank

Fetches Data on Covid-19 Mobility Trends from Different Sources
c(person(given = "Jarrett",
family = "Byrnes",
role = c("aut", "cre", "cph"),
email = "jarrett.byrnes@umb.edu",
comment = c(ORCID = "0000-0002-9791-9472")),
person(given = "Amanda",
family = "Dobbyn",
role = "ctb",
email = "amanda.e.dobbyn@gmail.com"))
Scrapes trends in mobility after the Covid-19
outbreak from different sources. Currently, the package scrapes data
from Google <https://www.google.com/covid19/mobility/>, Apple
<https://www.apple.com/covid19/mobility>, and will add others. The
data returned uses the tidy Covid19R project data standard
<https://covid19r.github.io/documentation/> as well as the controlled
vocabularies for measurement types.
dplyr, glue, janitor, jsonlite, lubridate, magrittr, readr,
stringi, tidyr, tigris, utils
gganimate, ggplot2, knitr, rgeos, rgdal, rmarkdown,
rnaturalearth, sf, testthat
Jarrett Byrnes [aut, cre, cph]
(<https://orcid.org/0000-0002-9791-9472>),
Amanda Dobbyn [ctb]