The COVID-19 ONS infection survey took a random sample of the population and provides an estimate of the prevalence of COVID-19 that is theoretically free from ascertainment bias.
Usage
data("ons_infection_survey")Format
An object of class grouped_df (inherits from tbl_df, tbl, data.frame) with 9820 rows and 8 columns.
Source
Originally licensed under the Open Government Licence v3.0
Details
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code(chr) The ONS geographical region code
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codeType(chr) The type of ONS geographical code
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name(chr) The ONS geographical region name
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date(date) A date
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prevalence.0.5(dbl) the median proportion of people in the region testing positive for COVID-19
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prevalence.0.025(dbl) the lower CI of the proportion of people in the region testing positive for COVID-19
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prevalence.0.975(dbl) the upper CI of the proportion of people in the region testing positive for COVID-19
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denom(int) the sample size on which this estimate was made (daily rate inferred from weekly sample sizes.)
Examples
dplyr::glimpse(ons_infection_survey)
#> Rows: 9,820
#> Columns: 8
#> Groups: code, codeType, name [10]
#> $ code <chr> "E92000001", "E12000001", "E12000002", "E12000003", "…
#> $ codeType <chr> "CTRY20", "RGN20", "RGN20", "RGN20", "RGN20", "RGN20"…
#> $ name <chr> "England", "North East", "North West", "Yorkshire and…
#> $ date <date> 2023-01-11, 2023-01-11, 2023-01-11, 2023-01-11, 2023…
#> $ prevalence.0.5 <dbl> 0.01970572, 0.01908564, 0.01939597, 0.01940800, 0.021…
#> $ prevalence.0.025 <dbl> 0.01878849, 0.01574656, 0.01698355, 0.01677878, 0.018…
#> $ prevalence.0.975 <dbl> 0.02067670, 0.02286518, 0.02186157, 0.02226405, 0.024…
#> $ denom <int> 9721, 436, 1335, 964, 736, 896, 1094, 1821, 1463, 971…