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View daily updates and historical trends for UK Coronavirus Full Vaccination Rate. from United Kingdom. Source: Our World in Data. Track economic data wit…
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Antibody data, by UK country and age, from the Coronavirus (COVID-19) Infection Survey.
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TwitterProvisional monthly uptake data for seasonal influenza and COVID-19 vaccines for frontline HCWs working in trusts, Independent Sector Healthcare Providers (ISHCPs), and GP practices in England.
Data is presented at national, NHS regional and individual trust levels.
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TwitterOur statistical practice is regulated by the Office for Statistics Regulation (OSR). The OSR sets the standards of trustworthiness, quality and value in the Code of Practice for Statistics that all producers of official statistics should adhere to.
Provisional monthly uptake data for seasonal influenza and COVID-19 vaccines for frontline HCWs working in trusts, Independent Sector Healthcare Providers (ISHCPs), and GP practices in England.
Data is presented at national, NHS regional and individual trust levels.
View the pre-release access list for these reports.
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Indicators from the Vaccine Opinions Study to understand changes in uptake and attitudes towards the coronavirus (COVID-19) vaccines, amongst adults in England who previously reported they had declined the vaccine or were unlikely or unsure about having the vaccine if offered.
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This dataset illustrates uptake inequalities of fourth doses of the coronavirus (COVID-19) vaccine using 2021 Census-derived demographic and socio-economic characteristics: age. sex, ethnicity, religion, socio-economic status and self-reported disability and health status.
Vaccination data are produced using linked data from Deaths registrations and Census 2021, National Immunisation Management Service, Hospital Episode Statistics and General Practise Extraction Service data for Pandemic Planning and Research.
Data may differ from weekly administrative vaccination data published by NHS England.
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The number and percentage of Covid-19 fully vaccinated people by age band. Population estimates are based on National Immunisation Management Service counts.This dataset has been updated to reflect new age bandings and population figures provided in July 2022.This dataset now includes details of the Autumn Booster programme.Note on analysis:This datasets presents the proportion of the eligible population who have received all vaccinations they are entitled to. This is terms as a "Complete Dose". The number of vaccinations required to qualify as a complete dose differs by the age of the individual. The following scale is used to determine this:- Aged 5 - 15 - Dose 1- Aged 16 - 24 - Dose 1 & Dose 2- Aged 35 - 50 - Dose 1, Dose 2 & Booster- Aged 50+ - Dose1, Dose2, Booster & Autumn BoosterData is updated weekly.
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TwitterVaccinations in London Between 8 December 2020 and 15 September 2021 5,838,305 1st doses and 5,232,885 2nd doses have been administered to London residents. Differences in vaccine roll out between London and the Rest of England London Rest of England Priority Group Vaccinations given Percentage vaccinated Vaccinations given Percentage vaccinated Group 1 Older Adult Care Home Residents 21,883 95% 275,964 96% Older Adult Care Home Staff 29,405 85% 381,637 88% Group 2 80+ years 251,021 83% 2,368,284 93% Health Care Worker 174,944 99% 1,139,243 100%* Group 3 75 - 79 years 177,665 90% 1,796,408 99% Group 4 70 - 74 years 252,609 90% 2,454,381 97% Clinically Extremely Vulnerable 278,967 88% 1,850,485 95% Group 5 65 - 69 years 285,768 90% 2,381,250 97% Group 6 At Risk or Carer (Under 65) 983,379 78% 6,093,082 88% Younger Adult Care Home Residents 3,822 92% 30,321 93% Group 7 60 - 64 years 373,327 92% 2,748,412 98% Group 8 55 - 59 years 465,276 91% 3,152,412 97% Group 9 50 - 54 years 510,132 90% 3,141,219 95% Data as at 15 September 2021 for age based groups and as at 12 September 2021 for non-age based groups * The number who have received their first dose exceeds the latest official estimate of the population for this group There is considerable uncertainty in the population denominators used to calculate the percentage vaccinated. Comparing implied vaccination rates for multiple sources of denominators provides some indication of uncertainty in the true values. Confidence is higher where the results from multiple sources agree more closely. Because the denominator sources are not fully independent of one another, users should interpret the range of values across sources as indicating the minimum range of uncertainty in the true value. The following datasets can be used to estimate vaccine uptake by age group for London: ONS 2020 mid-year estimates (MYE). This is the population estimate used for age groups throughout the rest of the analysis. Number of people ages 18 and over on the National Immunisation Management Service (NIMS) ONS Public Health Data Asset (PHDA) dataset. This is a linked dataset combining the 2011 Census, the General Practice Extraction Service (GPES) data for pandemic planning and research and the Hospital Episode Statistics (HES). This data covers a subset of the population. Vaccine roll out in London by Ethnic Group Understanding how vaccine uptake varies across different ethnic groups in London is complicated by two issues: Ethnicity information for recipients is unavailable for a very large number of the vaccinations that have been delivered. As a result, estimates of vaccine uptake by ethnic group are highly sensitive to the assumptions about and treatment of the Unknown group in calculations of rates. For vaccinations given to people aged 50 and over in London nearly 10% do not have ethnicity information available, The accuracy of available population denominators by ethnic group is limited. Because ethnicity information is not captured in official estimates of births, deaths, and migration, the available population denominators typically rely on projecting forward patterns captured in the 2011 Census. Subsequent changes to these patterns, particularly with respect to international migration, leads to increasing uncertainty in the accuracy of denominators sources as we move further away from 2011. Comparing estimated population sizes and implied vaccination rates for multiple sources of denominators provides some indication of uncertainty in the true values. Confidence is higher where the results from multiple sources agree more closely. Because the denominator sources are not fully independent of one another, users should interpret the range of values across sources as indicating the minimum range of uncertainty in the true value. The following population estimates are available by Ethnic group for London:
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11th January 2020 Change to vaccination data made available by UK gov - now just cumulative number of vaccines delivered are available for both first and second doses. For the devolved nations the cumulative totals are available for the dates from when given, however for the UK as a whole the total doses given is just on the last date of the index, regardless of when those vaccines were given.
4th January 2020 VACCINATION DATA ADDED - New and Cumulative First Dose Vaccination Data added to UK_National_Total_COVID_Dataset.csv and UK_Devolved_Nations_COVID_Dataset.csv
2nd December 2020:
NEW population, land area and population density data added in file NEW_Official_Population_Data_ONS_mid-2019.csv. This data is scraped from the Office for National Statistics and covers the UK, devolved UK nations, regions and local authorities (boroughs).
20th November 2020:
With European governments struggling with a 'second-wave' of rising cases, hospitalisations and deaths resulting from the SARS-CoV-2 virus (COVID-19), I wanted to make a comparative analysis between the data coming out of major European nations since the start of the pandemic.
I started by creating a Sweden COVID-19 dataset and now I'm looking at my own country, the United Kingdom.
The data comes from https://coronavirus.data.gov.uk/ and I used the Developer's Guide to scrape the data, so it was a fairly simple process. The notebook that scapes the data is public and can be found here. Further information about data collection methodologies and definitions can be found here.
The data includes the overall numbers for the UK as a whole, the numbers for each of the devolved UK nations (Eng, Sco, Wal & NI), English Regions and Upper Tier Local Authorities (UTLA) for all of the UK (what we call Boroughs). I have also included a small table with the populations of the 4 devolved UK nations, used to calculate the death rates per 100,000 population.
As I've said for before - I am not an Epidemiologist, Sociologist or even a Data Scientist. I am actually a Mechanical Engineer! The objective here is to improve my data science skills and maybe provide some useful data to the wider community.
Any questions, comments or suggestions are most welcome! I am open to requests and collaborations! Stay Safe!
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Estimates of the risk of hospital admission for coronavirus (COVID-19) and death involving COVID-19 by vaccination status, overall and by age group, using anonymised linked data from Census 2021. Experimental Statistics.
Outcome definitions
For this analysis, we define a death as involving COVID-19 if either of the ICD-10 codes U07.1 (COVID-19, virus identified) or U07.2 (COVID-19, virus not identified) is mentioned on the death certificate. Information on cause of death coding is available in the User Guide to Mortality Statistics. We use date of occurrance rather than date of registration to give the date of the death.
We define COVID-109 hospitalisation as an inpatient episode in Hospital Episode Statistics where the primary diagnosis was COVID-19, identified by the ICD-19 codes (COVID-19, virus identified) or U07.2 (COVID-19, virus not identified). Where an individual had experienced more than one COVID-19 hospitalisation, the earliest that occurred within the study period was used. We define the date of COVID-19 hospitalisation as the start of the hospital episode.
ICD-10 code
U07.1 :
COVID-19, virus identified
U07.2:
COVID-19, virus not identified
Vaccination status is defined by the dose and the time since the last dose received
Unvaccinated:
no vaccination to less than 21 days post first dose
First dose 21 days to 3 months:
more than or equal to 21 days post second dose to earliest of less than 91 days post first dose or less than 21 days post second dose
First dose 3+ months:
more than or equal to 91 days post first dose to less than 21 days post second dose
Second dose 21 days to 3 months:
more than or equal to 21 days post second dose to earliest of less than 91 days post second dose or less than 21 days post third dose
Second dose 3-6 months:
more than or equal to 91 days post second dose to earliest of less than 182 days post second dose or less than 21 days post third dose
Second dose 6+ months:
more than or equal to 182 days post second dose to less than 21 days post third dose
Third dose 21 days to 3 months:
more than or equal to 21 days post third dose to less than 91 days post third dose
Third dose 3+ months:
more than or equal to 91 days post third dose
Model adjustments
Three sets of model adjustments were used
Age adjusted:
age (as a natural spline)
Age, socio-demographics adjusted:
age (as a natural spline), plus socio-demographic characteristics (sex, region, ethnicity, religion, IMD decile, NSSEC category, highest qualification, English language proficiency, key worker status)
Fully adjusted:
age (as a natural spline), plus socio-demographic characteristics (sex, region, ethnicity, religion, IMD decile, NSSEC category, highest qualification, English language proficiency, key worker status), plus health-related characteristics (disability, self-reported health, care home residency, number of QCovid comorbidities (grouped), BMI category, frailty flag and hospitalisation within the last 21 days.
Age
Age in years is defined on the Census day 2021 (21 March 2021). Age is included in the model as a natural spline with boundary knots at the 10th and 90th centiles and internal knots at the 25th, 50th and 75th centiles. The positions of the knots are calculated separately for the overall model and for each age group for the stratified model.
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The data source for this dataset is the NI Vaccine Management System (VMS). VMS holds vaccination reports for COVID-19 and influenza vaccines which were either administered in NI or to NI residents. This dataset is an aggregated summary of COVID-19 vaccinations recorded in VMS. It is effectively a day-by-day count of living people vaccinated by dose, age band (on the day that the dataset was extracted from VMS) and LGD of residence. Aggregated summary data from VMS is published daily to the NI COVID-19 Vaccinations Dashboard. This dataset is updated weekly and allows NI vaccination coverage to be included in the GOV.UK Coronavirus (COVID-19) in the UK dashboard.
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TwitterThis dataset contains information on the number of COVID-19 vaccinations provided by the NHS in England, both in total since vaccinations began and to the current eligible population.
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Coronavirus (COVID-19) vaccination rates for people aged 18 years and over in England. Estimates by socio-demographic characteristic, region and local authority.
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TwitterData on vaccination update among health care workers.
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Daily official UK Covid data. The data is available per country (England, Scotland, Wales and Northern Ireland) and for different regions in England. The different regions are split into two different files as part of the data is directly gathered by the NHS (National Health Service). The files that contain the word 'nhsregion' in their name, include data related to hospitals only, such as number of admissions or number of people in respirators. The files containing the word 'region' in their name, include the rest of the data, such as number of cases, number of vaccinated people or number of tests performed per day. The next paragraphs describe the columns for the different file types.
Files related to regions (word 'region' included in the file name) have the following columns: - "date": date in YYYY-MM-DD format - "area type": type of area covered in the file (region or nation) - "area name": name of area covered in the file (region or nation name) - "daily cases": new cases on a given date - "cum cases": cumulative cases - "new deaths 28days": new deaths within 28 days of a positive test - "cum deaths 28days": cumulative deaths within 28 days of a positive test - "new deaths_60days": new deaths within 60 days of a positive test - "cum deaths 60days": cumulative deaths within 60 days of a positive test - "new_first_episode": new first episodes by date - "cum_first_episode": cumulative first episodes by date - "new_reinfections": new reinfections by specimen data - "cum_reinfections": cumualtive reinfections by specimen data - "new_virus_test": new virus tests by date - "cum_virus_test": cumulative virus tests by date - "new_pcr_test": new PCR tests by date - "cum_pcr_test": cumulative PCR tests by date - "new_lfd_test": new LFD tests by date - "cum_lfd_test": cumulative LFD tests by date - "test_roll_pos_pct": percentage of unique case positivity by date rolling sum - "test_roll_people": unique people tested by date rolling sum - "new first dose": new people vaccinated with a first dose - "cum first dose": cumulative people vaccinated with a first dose - "new second dose": new people vaccinated with a first dose - "cum second dose": cumulative people vaccinated with a first dose - "new third dose": new people vaccinated with a booster or third dose - "cum third dose": cumulative people vaccinated with a booster or third dose
Files related to countries (England, Northern Ireland, Scotland and Wales) have the above columns and also: - "new admissions": new admissions, - "cum admissions": cumulative admissions, - "hospital cases": patients in hospitals, - "ventilator beds": COVID occupied mechanical ventilator beds - "trans_rate_min": minimum transmission rate (R) - "trans_rate_max": maximum transmission rate (R) - "trans_growth_min": transmission rate growth min - "trans_growth_max": transmission rate growth max
Files related to nhsregion (word 'nhsregion' included in the file name) have the following columns: - "new admissions": new admissions, - "cum admissions": cumulative admissions, - "hospital cases": patients in hospitals, - "ventilator beds": COVID occupied mechanical ventilator beds - "trans_rate_min": minimum transmission rate (R) - "trans_rate_max": maximum transmission rate (R) - "trans_growth_min": transmission rate growth min - "trans_growth_max": transmission rate growth max
It's worth noting that the dataset hasn't been cleaned and it needs cleaning. Also, different files have different null columns. This isn't an error in the dataset but the way different countries and regions report the data.
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Age-standardised mortality rates for deaths involving coronavirus (COVID-19), non-COVID-19 deaths and all deaths by vaccination status, broken down by age group.
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TwitterDue to changes in the collection and availability of data on COVID-19 this page will no longer be updated. The webpage will no longer be available as of 11 May 2023. On-going, reliable sources of data for COVID-19 are available via the COVID-19 dashboard, Office for National Statistics, and the UKHSA
This page provides a weekly summary of data on deaths related to COVID-19 published by NHS England and the Office for National Statistics. More frequent reporting on COVID-19 deaths is now available here, alongside data on cases, hospitalisations, and vaccinations. This update contains data on deaths related to COVID-19 from:
NHS England COVID-19 Daily Deaths - last updated on 28 June 2022 with data up to and including 27 June 2022.
ONS weekly deaths by Local Authority - last updated on 16 August 2022 with data up to and including 05 August 2022.
Summary notes about each these sources are provided at the end of this document.
Note on interpreting deaths data: statistics from the available sources differ in definition, timing and completeness. It is important to understand these differences when interpreting the data or comparing between sources.
Weekly Key Points
An additional 24 deaths in London hospitals of patients who had tested positive for COVID-19 and an additional 5 where COVID-19 was mentioned on the death certificate were announced in the week ending 27 June 2022. This compares with 40 and 3 for the previous week. A total of 306 deaths in hospitals of patients who had tested positive for COVID-19 and 27 where COVID-19 was mentioned on the death certificate were announced for England as whole. This compares with 301 and 26 for the previous week. The total number of COVID-19 deaths reported in London hospitals of patients who had tested positive for COVID-19 is now 19,102. The total number of deaths in London hospitals where COVID-19 was mentioned on the death certificate is now 1,590. This compares to figures of 119,237 and 8,197 for English hospitals as a whole. Due to the delay between death occurrence and reporting, the estimated number of deaths to this point will be revised upwards over coming days These figures do not include deaths that occurred outside of hospitals. Data from ONS has indicated that the majority (79%) of COVID-19 deaths in London have taken place in hospitals.
Recently announced deaths in Hospitals
21 June 22 June 23 June 24 June 25 June 26 June 27 June London No positive test 0 0 1 4 0 0 0 London Positive test 3 7 2 10 0 0 2 Rest of England No positive test 2 6 4 4 0 0 6 Rest of England Positive test 47 49 41 58 6 0 81
16 May 23 May 30 May 06 June 13 June 20 June 27 June London No positive test 14 3 4 0 4 3 5 London Positive test 45 34 55 20 62 40 24 Rest of England No positive test 41 58 33 23 47 23 22 Rest of England Positive test 456 375 266 218 254 261 282 Deaths by date of occurrence
21 June 22 June 23 June 24 June 25 June 26 June 27 June London 20,683 20,686 20,690 20,691 20,692 20,692 20,692 Rest of England 106,604 106,635 106,679 106,697 106,713 106,733 106,742 Interpreting the data The data published by NHS England are incomplete due to:
delays in the occurrence and subsequent reporting of deaths deaths occurring outside of hospitals not being included
The total deaths reported up to a given point are therefore less than the actual number that have occurred by the same point. Delays in reporting NHS provide the following guidance regarding the delay between occurrence and reporting of deaths: Confirmation of COVID-19 diagnosis, death notification and reporting in central figures can take up to several days and the hospitals providing the data are under significant operational pressure. This means that the totals reported at 5pm on each day may not include all deaths that occurred on that day or on recent prior days. The data published by NHS England for reporting periods from April 1st onward includes both date of occurrence and date of reporting and so it is possible to illustrate the distribution of these reporting delays. This data shows that approximately 10% of COVID-19 deaths occurring in London hospitals are included in the reporting period ending on the same day, and that approximately two-thirds of deaths were reported by two days after the date of occurrence.
Deaths outside of hospitals The data published by NHS England does not include deaths that occur outside of hospitals, i.e. those in homes, hospices, and care homes. ONS have published data for deaths by place of occurrence. This shows that, up to 05 August, 79% of deaths in London recorded as involving COVID-19 occurred in hospitals (this compares with 44% for all causes of death). This would suggest that the NHS England data may underestimate overall deaths from COVID-19 by around 20%.
Comparison of data sources
Note on data sources
NHS England provides numbers of patients who have died in hos
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Includes: Patient demographics, Source Organisation, vaccination details and vaccine batch events. Its scope covers: Anyone vaccinated within England Anyone vaccinated in a Devoted Administration where this information is subsequently passed to England.
Settings include: hospital hubs - NHS providers vaccinating on site local vaccine services – community or primary care led services which could include primary care facilities, retail, community facilities, temporary structures or roving teams vaccination centres – large sites such as sports and conference venues set up for high volumes of people
Timescales for dissemination can be found under 'Our Service Levels' at the following link: https://digital.nhs.uk/services/data-access-request-service-dars/data-access-request-service-dars-process
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This Sqlite database contains data publicly available from GOV.UK and can be found here: https://coronavirus.data.gov.uk/. The data is available via a REST API and come data is available in CSV format. However, it can be difficult to pull all this data together, so this Sqlite database contains a number of tables which includes all the data imported via the API.
For more information on how to generate this database, and extract and load the data using the REST API, you can use the additional Jupyter Notebooks which can be found in the following Git Repo: https://github.com/happyadam73/c19-notebooks
Currently this data runs up to 25 February 2022.
NOTE: As of 31st January 2022, publish date based cases include all episodes but historic data has not been updated. It is recommended for historical analysis to use specimen date cases. For more details, see: https://coronavirus.data.gov.uk/details/whats-new/record/beb802ac-1ed2-47ac-b314-69a5c3f712b5
The following provides a list of all 9 tables and the columns that can be found in each table.
| table_name | column_name | column_type | column_nullability |
|---|---|---|---|
| c19dashboard_uk_ltla_daily_metrics | area_type | TEXT | Not Nullable |
| c19dashboard_uk_ltla_daily_metrics | area_name | TEXT | Not Nullable |
| c19dashboard_uk_ltla_daily_metrics | area_code | TEXT | Not Nullable |
| c19dashboard_uk_ltla_daily_metrics | date | DATE | Not Nullable |
| c19dashboard_uk_ltla_daily_metrics | new_cases_by_publish_date | NUMERIC | Nullable |
| c19dashboard_uk_ltla_daily_metrics | cum_cases_by_publish_date | NUMERIC | Nullable |
| c19dashboard_uk_ltla_daily_metrics | cum_cases_by_publish_date_rate | NUMERIC | Nullable |
| c19dashboard_uk_ltla_daily_metrics | new_cases_by_specimen_date | NUMERIC | Nullable |
| c19dashboard_uk_ltla_daily_metrics | cum_cases_by_specimen_date | NUMERIC | Nullable |
| c19dashboard_uk_ltla_daily_metrics | cum_cases_by_specimen_date_rate | NUMERIC | Nullable |
| c19dashboard_uk_ltla_daily_metrics | new_deaths_28_days_by_publish_date | NUMERIC | Nullable |
| c19dashboard_uk_ltla_daily_metrics | cum_deaths_28_days_by_publish_date | NUMERIC | Nullable |
| c19dashboard_uk_ltla_daily_metrics | cum_deaths_28_days_by_publish_date_rate | NUMERIC | Nullable |
| c19dashboard_uk_ltla_daily_metrics | new_deaths_28_days_by_death_date | NUMERIC | Nullable |
| c19dashboard_uk_ltla_daily_metrics | cum_deaths_28_days_by_death_date | NUMERIC | Nullable |
| c19dashboard_uk_ltla_daily_metrics | cum_deaths_28_days_by_death_date_rate | NUMERIC | Nullable |
| c19dashboard_uk_national_cases_by_age_gender | area_type | TEXT | Not Nullable |
| c19dashboard_uk_national_cases_by_age_gender | area_name | TEXT | Not Nullable |
| c19dashboard_uk_national_cases_by_age_gender | area_code | TEXT | Not Nullable |
| c19dashboard_uk_national_cases_by_age_gender | date | DATE | Not Nullable |
| c19dashboard_uk_national_cases_by_age_gender | gender | TEXT | Not Nullable |
| c19dashboard_uk_national_cases_by_age_gender | age | TEXT | Not Nullable |
| c19dashboard_uk_national_cases_by_age_gender | rate | NUMERIC | Nullable |
| ... |
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TwitterThe COVID-19 Health Inequalities Monitoring in England (CHIME) tool brings together data relating to the direct impacts of coronavirus (COVID-19) on factors such as mortality rates, hospital admissions, confirmed cases and vaccinations.
By presenting inequality breakdowns - including by age, sex, ethnic group, level of deprivation and region - the tool provides a single point of access to:
In the March 2023 update, data has been updated for deaths, hospital admissions and vaccinations. Data on inequalities in vaccination uptake within upper tier local authorities has been added to the tool for the first time. This replaces data for lower tier local authorities, published in December 2022, allowing the reporting of a wider range of inequality breakdowns within these areas.
Updates to the CHIME tool are paused pending the results of a review of the content and presentation of data within the tool. The tool has not been updated since the 16 March 2023.
Please send any questions or comments to PHA-OHID@dhsc.gov.uk
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View daily updates and historical trends for UK Coronavirus Full Vaccination Rate. from United Kingdom. Source: Our World in Data. Track economic data wit…