Download ACAPS non-pharmaceutical interventions data — download_acaps_npi

Downloads non-pharmaceutical interventions (NPI) data related to Covid-19 from the ACAPS governmental measures database (https://www.acaps.org/covid19-government-measures-dataset). Since ACAPS is no longer updating this data since December 12, 2020 historic data is downloaded and calling the function with cache = FALSE yields a warning.

download_acaps_npi_data(silent = FALSE, cached = FALSE)

Arguments

silent	Whether you want the function to send some status messages to the console. Might be informative as downloading will take some time and thus defaults to `TRUE`.
cached	Whether you want to download the cached version of the data from the tidycovid19 Github repository instead of retrieving the data from the authorative source. Downloading the cached version is faster and the cache is updated daily. Defaults to `FALSE`.

Value

A data frame containing the data, organized by intervention. It includes a timestamp variable indicating the time of data retrieval.

Examples

df <- download_acaps_npi_data(silent = TRUE, cached = TRUE)
df %>%
  dplyr::group_by(country) %>%
  dplyr::summarise(number_of_interventions = dplyr::n()) %>%
  dplyr::arrange(-number_of_interventions)
#> # A tibble: 193 × 2
#>    country        number_of_interventions
#>    <chr>                            <int>
#>  1 United Kingdom                     650
#>  2 Australia                          554
#>  3 United States                      486
#>  4 Philippines                        448
#>  5 Denmark                            353
#>  6 Canada                             329
#>  7 New Zealand                        303
#>  8 Sri Lanka                          300
#>  9 Portugal                           294
#> 10 Malaysia                           291
#> # ℹ 183 more rows