Download COVID-19 data across governmental sources at national, regional, and city level, as described in Guidotti and Ardia (2020). Includes the time series of vaccines, tests, cases, deaths, recovered, hospitalizations, intensive therapy, and policy measures by Oxford COVID-19 Government Response Tracker. Please agree to the Terms of Use and cite the following reference when using it:
Reference
Guidotti, E., Ardia, D., (2020).
COVID-19 Data Hub
Journal of Open Source Software, 5(51):2376
https://doi.org/10.21105/joss.02376
See the full documentation by typing ?covid19
# Worldwide data by country
x <- covid19()
# Worldwide data by state
x <- covid19(level = 2)
# Specific country data by city
x <- covid19(c("Italy","US"), level = 3)
The dataset can be extended with World Bank Open Data via the argument wb
, a character vector of indicator codes. The codes can be found by inspecting the corresponding URL. For example, the code of the GDP indicator available at https://data.worldbank.org/indicator/NY.GDP.MKTP.CD is NY.GDP.MKTP.CD
.
The dataset can be extended with Google Mobility Reports via the argument gmr
, the url to the Google CSV file. At the time of writing, the CSV is available at:
gmr <- "https://www.gstatic.com/covid19/mobility/Global_Mobility_Report.csv"
x <- covid19(gmr = gmr)
The dataset can be extended with Apple Mobility Reports via the argument amr
, the url to the Apple CSV file. At the time of writing, the CSV is available at:
amr <- "https://covid19-static.cdn-apple.com/covid19-mobility-data/"
amr <- paste0(amr, "2023HotfixDev26/v3/en-us/applemobilitytrends-2021-01-01.csv")
x <- covid19(amr = amr)
Data sources are stored in the src
attribute.
Find out more at https://covid19datahub.io
Guidotti, E., Ardia, D., (2020), “COVID-19 Data Hub”, Journal of Open Source Software 5(51):2376, doi: 10.21105/joss.02376.
A BibTeX entry for LaTeX users is