Dataset(s): Self-reported coronavirus (COVID-19) infections and associated symptoms, England and Scotland

In-depth analysis of Winter Coronavirus (COVID-19) Infection Study data looking at trends in self-reported symptoms of coronavirus (COVID-19), including ongoing symptoms and associated risk factors.

Cyswllt:
Winter COVID Analysis team

Dyddiad y datganiad:
25 April 2024

Cyhoeddiad nesaf:
To be announced

Return to 'Self-reported coronavirus (COVID-19) infections and associated symptoms, England and Scotland'

Provides files to download data as it existed for this dataset on previous dates.

Statistics are most often revised for 1 of 2 reasons:

  1. For certain statistics initial estimates are released with the expectation that these may be revised and updated as further data becomes available.
  2. Revisions may also be made when methods or systems are changed.

These types of planned revisions should not be confused with errors in released statistics, which are genuine mistakes. Such mistakes occur rarely and, when they do happen, corrections are made in a timely manner, announced and clearly explained to users in line with the Code of Practice for Official Statistics (Principle 2, Practice 7).

Latest version

xlsx (285.8 kB)

Previous versions

Superseded files Reason for update Date superseded
xlsx (275.5 kB)
Correction See correction
We have corrected the population estimates for self-reported long COVID by Index of Multiple Deprivation quintile in Tables 1-4 (column D). The percentage reporting long COVID (column E) remains unchanged. In the previous version the population estimates were calculated on the basis of the number of people in the sample for each deprivation quintile, scaled up to the full population size. The full population in each IMD quintile should have been adjusted to reflect the correct distribution in each quintile (approximately one fifth of the population in each). The effect of this is that the previous version underestimates the number of people with long COVID in the most deprived quintiles and over-estimates the number of people with long COVID in the least deprived quintiles. This happened because of a human error.
4 March 2025 08:41