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The daily count of COVID-19 new PCR positive cases in England. The denominator the overall number of PCR tests conducted. This gives us a proportion of positive tests which can be used to correct for testing effort.

Usage

data("england_covid_positivity")

Format

An object of class tbl_df (inherits from tbl, data.frame) with 1413 rows and 6 columns.

Details

england_covid_positivity dataframe with 2048 rows and 6 columns

name (chr)

The region name

code (chr)

The region code

codeType (chr)

The ONS geographical region code type (including year)

date (date)

The date

count (dbl)

the count of PCR test positives

denom (dbl)

the total count of PCR tests conducted on that day

Examples

dplyr::glimpse(england_covid_positivity)
#> Rows: 1,413
#> Columns: 6
#> $ date     <date> 2020-01-30, 2020-01-31, 2020-02-01, 2020-02-02, 2020-02-03, 
#> $ code     <chr> "E92000001", "E92000001", "E92000001", "E92000001", "E9200000…
#> $ name     <chr> "England", "England", "England", "England", "England", "Engla…
#> $ count    <dbl> 1, 0, 0, 1, 18, 0, 1, 0, 0, 3, 1, 1, 4, 1, 1, 0, 0, 0, 1, 0, 
#> $ denom    <dbl> 53, 75, 165, 172, 297, 147, 155, 103, 186, 568, 583, 599, 887…
#> $ codeType <chr> "CTRY20", "CTRY20", "CTRY20", "CTRY20", "CTRY20", "CTRY20", "…