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A dataset of the daily count of COVID-19 cases by age group in England downloaded from the UKHSA coronavirus API, and formatted for use in ggoutbreak. A denominator is calculated which is the overall positive count for all age groups. This data set can be used to calculate group-wise incidence and absolute growth rates and group wise proportions and relative growth rates by age group.

Usage

data(england_covid)

Format

A dataframe containing the following columns:

  • date (as.Date) - the date column

  • class (enum(00_04,05_09,10_14,15_19,20_24,25_29,30_34,35_39,40_44,45_49,50_54,55_59,60_64,65_69,70_74,75_79,80_84,85_89,90+)) - the class column

  • count (numeric) - the test positives for each age group

  • denom (numeric) - the test positives across all age groups

  • time (time_period) - the time column

Must be grouped by: class (and other groupings allowed).

No default value.

26790 rows and 5 columns

Details

You may want england_covid_test_positives instead which includes the population denominator. The denominator here is the total number of positive tests across all age groups and not the number of tests taken or population size.