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Released on: 01 April 2020
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Article
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Released on: 06 April 2023
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Dataset
Indicators from the Opinions and Lifestyle Survey (OPN) related to the impact of the coronavirus (COVID-19) pandemic and other illnesses on people, households and communities in Great Britain.
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Released on: 27 March 2023
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Dataset
Analysis from a Coronavirus (COVID-19) Infection Survey pilot, which has been testing for influenza (flu) and respiratory syncytial virus (RSV) since October 2022.
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Released on: 07 October 2022
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Dataset
Provisional data on excess mortality (excluding COVID-19) during heat-periods in the 65 years and over age group estimates in England, including the estimated number of deaths where the death occurred within 28 days of a positive COVID-19 result and the mean central England temperature.
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Released on: 22 September 2020
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Dataset
Provisional counts of the number of deaths and annualised age-standardised mortality rates involving the coronavirus (COVID-19) by major occupations, where the infection may have been acquired either before or during the period of lockdown. The deaths have been registered in England and Wales. Figures are provided for males and females.
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Released on: 17 June 2021
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Dataset
Data on COVID-19 positivity after vaccination from the COVID-19 Infection Survey.
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Released on: 21 July 2023
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Dataset
Pre-existing conditions of people who died due to COVID-19, broken down by country, broad age group, and place of death occurrence, usual residents of England and Wales.
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Released on: 15 November 2021
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Dataset
Analysis of populations in the UK by likelihood of being vaccination against COVID-19 using the Coronavirus (COVID-19) Infection Survey.
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Released on: 05 November 2021
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Dataset
Dataset from the Opinions and Lifestyle Survey (OPN) on the likelihood of children aged between 12 and 15 years receiving a coronavirus (COVID-19) vaccine.
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Released on: 07 June 2022
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Dataset
Data accompanying strategies explored in an examination of administrative health data to provide more detail on the effects of coronavirus (COVID-19) on disabled people by impairment type.