ECDC ILI incidence (Europe) — pub_ecdc

API docs: https://cmu-delphi.github.io/delphi-epidata/api/ecdc_ili.html.

Obtain information on influenza-like-illness from the European Centre for Disease Prevention and Control.

Usage

pub_ecdc_ili(
  regions,
  epiweeks = "*",
  ...,
  issues = NULL,
  lag = NULL,
  fetch_args = fetch_args_list()
)

Arguments

regions: character. List of regions to fetch.
epiweeks: timeset. Epiweeks to fetch. Supports epirange() and defaults to all ("*") dates. Format as epirange(startweek, endweek), where startweek and endweek are of the form YYYYWW (string or numeric).
...: not used for values, forces later arguments to bind by name
issues: timeset. Optionally, the issue(s) of the data to fetch. See the "Data Versioning" section for details.
lag: integer. Optionally, the lag of the issues to fetch. See the "Data Versioning" section for details.
fetch_args: fetch_args. Additional arguments to pass to fetch(). See fetch_args_list() for details.

Value

tibble::tibble

Details

The list of location argument can be found in https://github.com/cmu-delphi/delphi-epidata/blob/main/labels/ecdc_regions.txt.

Data Versioning

Several endpoints support retrieving historical versions of the data. The following parameters control this and are mutually exclusive (only one can be provided at a time).

as_of: (Date) Retrieve the data as it was on this date.
issues: timeset Retrieve data from a specific issue date or range of dates.
lag: (integer) Retrieve data with a specific lag from its issue date.

If none of these is specified, the most recent version of the data is returned.

See vignette("versioned-data") for details and more ways to specify versioned data.

Examples


pub_ecdc_ili(regions = "austria", epiweeks = epirange(201901, 202001))
#> # A tibble: 28 × 6
#>    release_date region  issue      epiweek      lag incidence_rate
#>    <date>       <chr>   <date>     <date>     <dbl>          <dbl>
#>  1 2020-03-26   Austria 2020-03-15 2019-01-06    62           787.
#>  2 2020-03-26   Austria 2020-03-15 2019-01-13    61           855.
#>  3 2020-03-26   Austria 2020-03-15 2019-01-20    60          1022.
#>  4 2020-03-26   Austria 2020-03-15 2019-01-27    59          1265.
#>  5 2020-03-26   Austria 2020-03-15 2019-02-03    58          1367.
#>  6 2020-03-26   Austria 2020-03-15 2019-02-10    57          1209.
#>  7 2020-03-26   Austria 2020-03-15 2019-02-17    56          1156.
#>  8 2020-03-26   Austria 2020-03-15 2019-02-24    55          1122.
#>  9 2020-03-26   Austria 2020-03-15 2019-03-03    54           948.
#> 10 2020-03-26   Austria 2020-03-15 2019-03-10    53           703.
#> # ℹ 18 more rows