This feature service contains COVID-19 data automatically updated from the Public Health England (PHE) API service, daily. Using this API, this service takes the current day request minus two days. Therefore the data will always be two days behind. This is a result of the delay between PHE's specimen date and reporting date.The Polygon Layers, which all contain spatial data, provide information about the latest cumulative figures at three geographies; Local Authority, Regions and Nations. The Tables, which are not spatially aware, provide historical data for each feature. The format of these tables allow you to use the Join tool with the Polygon Layers and create a time enabled layer. This can be used within a dashboard or on the animation tool to view patterns over time.

A joint map of resources targeted towards the remedy and recovery during and after the COVID 19 crisis. Information about resources and support services provided by a number of organisations across the city.If you are a provider of services and resources, your information can be added and made public via the form available from here.If you have any questions about this dataset please email smart@leicester.gov.uk or complete the form available from here.

Due to the extensive economic disruption caused by the COVID-19 pandemic, the United Kingdom's Government created a range of measures to help support businesses survive the loss in revenues and cashflow. To help smaller businesses (SMEs), the Coronavirus Business Interruption Loan Scheme (CBILS) was set up. The scheme operates through the British Business Bank via more than 40 accredited lenders including high street banks, challenger banks, asset based lenders and smaller specialist local lenders. These lenders can then provide up to five million British pounds (GBP) in the form of term loans, overdraft, invoice finance and asset finance.

Between the 10th of May, 2020 and the 31st of May, 2021, the cumulative number of approved facilities through the Coronavirus Business Interruption Loan Scheme (CBILS) in the United Kingdom (UK) has reached more than 110,000 at a combined value of approximately 26 billion British pounds.

Abstract copyright UK Data Service and data collection copyright owner.

As the UK went into the first lockdown of the COVID-19 pandemic, the team behind the biggest social survey in the UK, Understanding Society (UKHLS), developed a way to capture these experiences. From April 2020, participants from this Study were asked to take part in the Understanding Society COVID-19 survey, henceforth referred to as the COVID-19 survey or the COVID-19 study.

The COVID-19 survey regularly asked people about their situation and experiences. The resulting data gives a unique insight into the impact of the pandemic on individuals, families, and communities. The COVID-19 Teaching Dataset contains data from the main COVID-19 survey in a simplified form. It covers topics such as

• Socio-demographics
• Whether working at home and home-schooling
• COVID symptoms
• Health and well-being
• Social contact and neighbourhood cohesion
• Volunteering

The resource contains two data files:

• Cross-sectional: contains data collected in Wave 4 in July 2020 (with some additional variables from other waves);
• Longitudinal: Contains mainly data from Waves 1, 4 and 9 with key variables measured at three time points.

Key features of the dataset

• Missing values: in the web survey, participants clicking "Next" but not answering a question were given further options such as "Don't know" and "Prefer not to say". Missing observations like these are recorded using negative values such as -1 for "Don't know". In many instances, users of the data will need to set these values as missing. The User Guide includes Stata and SPSS code for setting negative missing values to system missing.

• The Longitudinal file is a balanced panel and is in wide format. A balanced panel means it only includes participants that took part in every wave. In wide format, each participant has one row of information, and each measurement of the same variable is a different variable.

• Weights: both the cross-sectional and longitudinal files include survey weights that adjust the sample to represent the UK adult population. The cross-sectional weight (betaindin_xw) adjusts for unequal selection probabilities in the sample design and for non-response. The longitudinal weight (ci_betaindin_lw) adjusts for the sample design and also for the fact that not all those invited to participate in the survey, do participate in all waves.

• Both the cross-sectional and longitudinal datasets include the survey design variables (psu and strata).

A full list of variables in both files can be found in the User Guide appendix.

Who is in the sample?

All adults (16 years old and over as of April 2020), in households who had participated in at least one of the last two waves of the main study Understanding Society, were invited to participate in this survey. From the September 2020 (Wave 5) survey onwards, only sample members who had completed at least one partial interview in any of the first four web surveys were invited to participate. From the November 2020 (Wave 6) survey onwards, those who had only completed the initial survey in April 2020 and none since, were no longer invited to participate

The User guide accompanying the data adds to the information here and includes a full variable list with details of measurement levels and links to the relevant questionnaire.

• Socio-demographics;
• Whether working at home and home-schooling;
• COVID symptoms;
• Health and well-being;
• Social contact and neighbourhood cohesion;
• Volunteering.

The Evidence for Equality National Survey (EVENS) is a national survey that documents the experiences and attitudes of ethnic and religious minorities in Britain. EVENS was developed by the Centre on the Dynamics of Ethnicity (CoDE) in response to the disproportionate impacts of COVID-19 and is the largest and most comprehensive survey of the lives of ethnic and religious minorities in Britain for more than 25 years. EVENS used pioneering, robust survey methods to collect data in 2021 from 14,200 participants of whom 9,700 identify as from an ethnic or religious minority. The EVENS main dataset, which is available from the UK Data Service under SN 9116, covers a large number of topics including racism and discrimination, education, employment, housing and community, health, ethnic and religious identity, and social and political participation.

The EVENS Teaching Dataset provides a selection of variables in an accessible form to support the use of EVENS in teaching across a range of subjects and levels of study. The dataset includes demographic data and variables to support the analysis of:

• racism and belonging
• health and well-being during COVID-19
• political attitudes and trust.

In May 2020, a survey carried out in the United Kingdom found that five percent of Brits had been frequently visiting friends they don't live with during the coronavirus lockdown period, while five percent also say they have been regularly visiting family during this period. The government recommends that during the lockdown period people should only go outside for one form of exercise a day, but eight percent of survey respondents said they periodically go out for more than once for exercise. The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

Figures on coronavirus (COVID-19) vaccine uptake in school pupils aged 12 to 17 years attending state-funded secondary, sixth form and special schools, broken down by demographic and geographic characteristics, using a linked English Schools Census and National Immunisation Management System dataset. Experimental Statistics.

Indicators from the Opinions and Lifestyle Survey (OPN) between 11 and 29 November 2020, measuring rates of some form of depression and/or anxiety in adults in Great Britain. Includes breakdowns by personal characteristics, impacts on life and well-being, loneliness and perceptions of when life will return to normal.

This dataset contains results from an interview study deployed between April and June 2020 to understand the changing situation in research software engineering work environments as a result of the COVID-19 pandemic. The study took place over an eight-week period, during which 17 self-identified research software engineers (RSEs) recorded their thoughts about the impact of the pandemic on their work and lifestyles. Each weekly entry included a series of questions based on the agile software engineering retrospective, a technique used within agile teams to look back on previous work. The first week followed a basic retrospective format, asking participants to assess what went well and didn’t go well, and to identify areas that could be improved going forward. To encourage ongoing participation, questions in subsequent weeks were adapted from creative retrospective plans designed by agile practitioners. An invitation to take part was issued via various international RSE social media channels in two batches, resulting in 11 participants starting in the week commencing on the 6th of April, and six starting in the week of the 20th of April. In total, 17 participants responded to the invitation; 15 agreed to participate after the first week. Participants were sent an email each week inviting them to complete a diary entry for a total of eight weeks; data were collected through a survey deployed via JISC’s Online Surveys.The consent form and a pdf of the first week of questions are included in the materials to provide an example of how the survey was administered. The entry week and questions are reported in full in columns A and B in the spreadsheet accordingly. To avoid identification of individuals, demographic information and some contextual information has been redacted. Redactions are indicated by *** in the response.The study was conducted as part of the STRIDE project: https://stride.org.uk.

In response to the extensive economic disruption caused by the COVID-19 pandemic, the United Kingdom's Government created a range of measures to help support businesses survive the loss in revenues and cashflow. To help mid-sized and larger enterprises with a group turnover of more than 45 million British pounds, the Coronavirus Large Business Interruption Loan Scheme (CLBILS) was set up.

The scheme operates through the British Business Bank via accredited lenders, which can provide up to 200 million British pounds in finance. These lenders can then provide finance in the form of term loans, revolving credit facilities (overdrafts), invoice finance and asset finance. For term loans and revolving credit facilities, finance that could be offered was increased from 50 million GBP after an announcement by HM Treasury on the 19th of May 2020.

Between the 10th of May, 2020 and the 31st of May, 2021, the cumulative number of approved facilities through the Coronavirus Large Business Interruption Loan Scheme (CLBILS) in the United Kingdom (UK) has amounted to 753 at a cumulative value of more than 5.6 billion British pounds.

Information on number of COVID vaccinations and payments made to individual branches listed by their ODS code in the same format as FOI 19177: https://opendata.nhsbsa.net/dataset/foi-19177 Can I get an historical extract going back to when the vaccinations first began. Would you also be able to provide this data on an ongoing monthly basis when new data is made available? Response A copy of the information is attached. Regarding your query about making the data available on an on-going basis, there is no current plan to routinely publish this information. Therefore please continue to request the information at regular intervals if you wish to receive this regularly. The NHSBSA makes payments for covid vaccinations to Pharmacies and Primary Care Network (PCN) providers in England. Covid vaccination data is keyed in via Point of Care (POC) Systems and they transferred to the NHSBSA Manage Your Service (MYS) application. Each month, vaccine providers submit claims to request payment based on the data that has been transferred into MYS. To be paid in a timely fashion such claims must be submitted during a specified declaration submission period. Should claims be submitted outside the time windows, payments will be made later. This means that in some cases there is a difference between the number of vaccines that have been 'claimed' and the number that have been 'paid'. Both the number of 'claimed' and 'paid' vaccinations have been reported in this request. When considering the nature of the vaccine data there are several ways it can be reported over time: Administration Month - This is the month in which the vaccine was administered to the patient. Payment Month - This is the month in which the payment was made dispenser of the vaccine. Note that all payments for Pharmacies are paid one month later than those for PCN providers. Keying Month - This is the month in which the vaccine record first appeared on the MYS system. Submission/Claim Month - This is the month in which the claim for payment for a vaccination occurred. For example, suppose that a PCN patient is given a covid vaccination dose 1 in January (Administration Month) and then the paper record of this is misplaced for a while. The record is found and keyed into a POC system during February (Keying Month). The Provider is allowed to claim for keying during February in the first 5 days of March, but they're a little late and authorise the claim on the 7th of March (Submission Month) As the claim is outside the submission window it is not paid in March, it will instead be paid during April (Payment Month). Another example could be a Pharmacy patient given a covid vaccination dose 1 in January (Administration Month), keyed in January (Keying Month), then submitted in February (Submission Month) and then payments are calculated in February, however as this is for a pharmacy the payments are held back and not paid until March (Payment Month). For the purposes of this request, we have chosen to report by Administration Month. Data included in this request is limited to vaccinations carried out by Pharmacies only. The latest data used is a snapshot of the MYS system data that was taken on 7th January 2022. This is the snapshot of data taken after the January submission period that was used to calculate payments The total used for the payment calculation may not match the totals shown in 'live' POC systems or MYS that continue to receive updates after the snapshot used to calculate payments was taken. Vaccination records are limited to those which have been associated with a declaration submission. This may include late submission declarations received after the deadline for declarations such records are not processed until the next month. Please note that some vaccinations attract a supplementary fee, so it is not possible to determine the number of vaccinations by dividing the total paid by the basic Item of Service (IoS) fee. It is possible for new records from old administration months to be entered in the future, thus the totals here for each administration months could change when more data is processed. If you have any queries regarding the data provided, or if you plan on publishing the data, please contact dataandinsightsupport@nhsbsa.nhs.uk ensuring you quote the above reference. This is important to ensure that the figures are not misunderstood or misrepresented. If you plan on producing a press or broadcast story based upon the data please contact nhsbsa.communicationsteam@nhs.net. This is important to ensure that the figures are not misunderstood or misrepresented.

The UK-EU-DEBATE-20-21 corpus was collected within the framework of the collaborative research project OLiNDiNUM (Observatoire LINguistique du DIscours NUMérique / Linguistic Observatory of Online Debate) to be part of a shared research archive of shared corpora and resources.

The corpus was selected with a view to examining the UK-EU media debate on the COVID-19 vaccination campaign following a specific transformative moment: the signature of the Brexit withdrawal agreement by the UK and the EU at the end of January 2021.

The data were retrieved through the Application Programming Interface of the social networking site Twitter, using the accounts of key political actors in the UK government and EU institutions over a period of 14 months (1 February 2020–31 March 2021). The composition of the corpus is illustrated in the table.

The data are supplied in separate .csv files (tab-delimited format). Each row contains the text of the tweet (data_text) and the tweet identifier (data_id) as a header. The tweet identifier enables swift retrieval of the original tweet by searching https://twitter.com/anyuser/status/data_id.

Background. Chronic obstructive pulmonary disease (COPD) is a debilitating lung condition characterised by progressive lung function limitation. COPD is an umbrella term and encompasses a spectrum of pathophysiologies including chronic bronchitis, small airways disease and emphysema. COPD caused an estimated 3 million deaths worldwide in 2016, and is estimated to be the third leading cause of death worldwide. The British Lung Foundation (BLF) estimates that the disease costs the NHS around £1.9 billion per year. COPD is therefore a significant public health challenge. This dataset explores the impact of hospitalisation in patients with COPD during the COVID pandemic.

PIONEER geography The West Midlands (WM) has a population of 5.9 million & includes a diverse ethnic & socio-economic mix. There is a higher than average percentage of minority ethnic groups. WM has a large number of elderly residents but is the youngest population in the UK. There are particularly high rates of physical inactivity, obesity, smoking & diabetes. The West Midlands has a high prevalence of COPD, reflecting the high rates of smoking and industrial exposure. Each day >100,000 people are treated in hospital, see their GP or are cared for by the NHS.

EHR. University Hospitals Birmingham NHS Foundation Trust (UHB) is one of the largest NHS Trusts in England, providing direct acute services & specialist care across four hospital sites, with 2.2 million patient episodes per year, 2750 beds & 100 ITU beds. UHB runs a fully electronic healthcare record (EHR) (PICS; Birmingham Systems), a shared primary & secondary care record (Your Care Connected) & a patient portal “My Health”.

Scope: All hospitalised patients admitted to UHB during the COVID-19 pandemic first wave, curated to focus on COPD. Longitudinal & individually linked, so that the preceding & subsequent health journey can be mapped & healthcare utilisation prior to & after admission understood. The dataset includes ICD-10 & SNOMED-CT codes pertaining to COPD and COPD exacerbations, as well as all co-morbid conditions. Serial, structured data pertaining to process of care (timings, staff grades, specialty review, wards), presenting complaint, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations), all blood results, microbiology, all prescribed & administered treatments (fluids, nebulisers, antibiotics, inotropes, vasopressors, organ support), all outcomes. Linked images available (radiographs, CT).

Available supplementary data: More extensive data including wave 2 patients in non-OMOP form. Ambulance, 111, 999 data, synthetic data.

Available supplementary support: Analytics, Model build, validation & refinement; A.I.; Data partner support for ETL (extract, transform & load) process, Clinical expertise, Patient & end-user access, Purchaser access, Regulatory requirements, Data-driven trials, “fast screen” services.

As of May 2, 2023, the outbreak of the coronavirus disease (COVID-19) had been confirmed in almost every country in the world. The virus had infected over 687 million people worldwide, and the number of deaths had reached almost 6.87 million. The most severely affected countries include the U.S., India, and Brazil.

COVID-19: background information COVID-19 is a novel coronavirus that had not previously been identified in humans. The first case was detected in the Hubei province of China at the end of December 2019. The virus is highly transmissible and coughing and sneezing are the most common forms of transmission, which is similar to the outbreak of the SARS coronavirus that began in 2002 and was thought to have spread via cough and sneeze droplets expelled into the air by infected persons.

Naming the coronavirus disease Coronaviruses are a group of viruses that can be transmitted between animals and people, causing illnesses that may range from the common cold to more severe respiratory syndromes. In February 2020, the International Committee on Taxonomy of Viruses and the World Health Organization announced official names for both the virus and the disease it causes: SARS-CoV-2 and COVID-19, respectively. The name of the disease is derived from the words corona, virus, and disease, while the number 19 represents the year that it emerged.

This project collected data about how organisations working with or for asylum seekers and refugees responded to the COVID-19 pandemic.

This project explored the needs of refugees and asylum-seekers in Glasgow, Scotland and in Newcastle-Gateshead, in the North-East of England, in the context of COVID-19. We focused on these cities because they are key points of dispersal with established asylum service infrastructures spanning distinctive national contexts.

Due to ethical issues the data cannot be shared.

The questionnaire used for the collection is made available in the record.

This project explores the needs of refugees and asylum-seekers in Glasgow, Scotland and in Newcastle-Gateshead, in the North-East of England, in the context of COVID-19. We focus on these cities because they are key points of dispersal with established asylum service infrastructures spanning distinctive national contexts. We will investigate and compare both the response of organisations who provide services for refugees and asylum-seekers, as well as the lived experiences of refugees and asylum-seekers in the context of a global pandemic in Scotland and England. This will build upon five pilot interviews undertaken with refugees in Newcastle-Gateshead during the COVID-19 pandemic. This will facilitate a cross-national, cross-city account of the lived resilience, adaptation strategies and new forms of care that have emerged in the two cities, that can inform local and national government policy. A UK wide survey will provide a crucial overview of the impact of COVID-19 on asylum-seekers and on asylum services. This will be conducted as the start of the study and again six months after this in order to assess how the sector is responding to the unfolding situation. Twenty interviews with organisations who provide services for refugees and asylum-seekers (10 in each city) will supplement forty interviews with refugees and asylum-seekers (20 in each city). Outputs from this project include three academic journal articles; two research reports and two linked policy workshops/webinars in Westminster and Holyrood; two plain language open access online articles about the research findings; and an animated video.