Links to a range of useful COVID-19 datasets and visualisations. For information and advice in relation to COVID-19 please use the following information from reliable, trusted sources such as the Government, the NHS, Public Health England and the Council. www.gov.uk/coronavirus www.nhs.uk/coronavirus www.calderdale.gov.uk/coronavirus

In response to the coronavirus (COVID-19) pandemic, information on NHS staff absence has been published to support transparency and understanding of NHS activity and capacity. Figures show the number and percentage of NHS staff absent due to COVID-19 related illness, self-isolation or otherwise by date. The data are taken from management information and are subject to change. They have not been subject to the same validation processes undertaken for official statistics releases.

Data on clinically extremely vulnerable people in England during the coronavirus (COVID-19) pandemic from the Shielding Behavioural Survey. Includes information on their behaviours and well-being since receiving shielding guidance.

Novel coronavirus (COVID-19) is a new strain of coronavirus first identified in Wuhan, China. Clinical presentation may range from mild-to-moderate illness to pneumonia or severe acute respiratory infection. The COVID-19 pandemic has wider impacts on individuals' health, and their use of healthcare services, than those that occur as the direct result of infection. Reasons for this may include: * Individuals being reluctant to use health services because they do not want to burden the NHS or are anxious about the risk of infection. * The health service delaying preventative and non-urgent care such as some screening services and planned surgery. * Other indirect effects of interventions to control COVID-19, such as mental or physical consequences of distancing measures. This dataset provides information on trend data regarding the wider impact of the pandemic on contacts with NHS 24. Information is shown for patients in different age groups; for males and females; and for people living in areas with different levels of material deprivation. Information is also available at different levels of geographical breakdown such as Health Boards, Health and Social Care partnerships, and Scotland totals. This data is also available on the COVID-19 Wider Impact Dashboard. Additional data sources relating to this topic area are provided in the Links section of the Metadata below. Information on COVID-19, including stay at home advice for people who are self-isolating and their households, can be found on NHS Inform. All publications and supporting material to this topic area can be found in the weekly COVID-19 Statistical Report. The date of the next release can be found on our list of forthcoming publications.

The dataset is extracted from local EHR System containing demographics, administrative hospital encounter information, previous medical history (diagnoses and procedures), current symptoms and disease complications, clinical events.

This open data publication has moved to COVID-19 Statistical Data in Scotland (from 02/11/2022) Novel coronavirus (COVID-19) is a new strain of coronavirus first identified in Wuhan, China. Clinical presentation may range from mild-to-moderate illness to pneumonia or severe acute respiratory infection. This dataset provides information on demographic characteristics (age, sex, deprivation) of confirmed novel coronavirus (COVID-19) cases, as well as trend data regarding the wider impact of the virus on the healthcare system. Data includes information on primary care out of hours consultations, respiratory calls made to NHS24, contact with COVID-19 Hubs and Assessment Centres, incidents received by Scottish Ambulance Services (SAS), as well as COVID-19 related hospital admissions and admissions to ICU (Intensive Care Unit). Further data on the wider impact of the COVID-19 response, focusing on hospital admissions, unscheduled care and volume of calls to NHS24, is available on the COVID-19 Wider Impact Dashboard. There is a large amount of data being regularly published regarding COVID-19 (for example, Coronavirus in Scotland - Scottish Government and Deaths involving coronavirus in Scotland - National Records of Scotland. Additional data sources relating to this topic area are provided in the Links section of the Metadata below. Information on COVID-19, including stay at home advice for people who are self-isolating and their households, can be found on NHS Inform. All publications and supporting material to this topic area can be found in the weekly COVID-19 Statistical Report. The date of the next release can be found on our list of forthcoming publications. Data visualisation is available to view in the interactive dashboard accompanying the COVID-19 Statistical Report. Please note information on COVID-19 in children and young people of educational age, education staff and educational settings is presented in a new COVID-19 Education Surveillance dataset going forward.

NHS UK - COVID-19 Daily Deaths

This section contains information on deaths of patients who have died in hospitals in England and had tested positive for COVID-19 at time of death. All deaths are recorded against the date of death rather than the date the deaths were announced. Interpretation of the figures should take into account the fact that totals by date of death, particularly for most recent days, are likely to be updated in future releases. For example as deaths are confirmed as testing positive for COVID-19, as more post-mortem tests are processed and data from them are validated. Any changes are made clear in the daily files.

These figures do not include deaths outside hospital, such as those in care homes. This approach makes it possible to compile deaths data on a daily basis using up to date figures.

Dataset Content

These figures will be updated at 2pm each day and include confirmed cases reported at 5pm the previous day. 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 original dataset is sourced directly from the NHS source site, this original dataset is then cleaned and converted to a csv format available for inclusion into a Kaggle notebook.

There are 3 files considered within the data :- 1. Fatalities_by_age_uk 2.Fatalities_by_region_uk 3.Fatalities_by_trust_uk

Data runs from March 1st up to the current day. Any discrepancies will be outlined. The first is cumulative for any previous days leading up to of relevance. The following days are not cumulative and represent the updated value for the date under consideration.

A start kernel is provided to demonstrate using the dataset.

Citations

This dataset is sourced from the NHS statistical work areas:- https://www.england.nhs.uk/statistics/statistical-work-areas/

This dataset has been sourced and provided to aid in the following competition:- https://www.kaggle.com/c/covid19-global-forecasting-week-4

NHS Digital's fortnightly collection of GP data will provide data to support vital planning and research into coronavirus (COVID-19).

To record the information required to evaluate the potential risk of Covid-19 infection, as part of professional screening or self-assessment.

This is based on - The current NHS-111 UK self-assessment app at https://111.nhs.uk/covid-19 - A similar risk assessment app developed for pre-hospital admission by DIPS.no - Public Health England COVID-19: investigation and initial clinical management of possible cases https://www.gov.uk/government/publications/wuhan-novel-coronavirus-initial-investigation-of-possible-cases

The exact risk factors are subject to continual update as the disease progresses.

Note that a critical part of the information, exposure locations, has been left open, so as to allow the list to be updated very regularly and in alignment with local or national policy.

We have decided to leave in 'older' questions such as 'Exposure to birds in China' until such time that we get clear professional guidance that these are no longer necessary or useful.

COVID-19 Key Worker Testing Results data is required by NHS Digital to support COVID-19 requests for linkage, analysis and dissemination to other organisations who require the data in a timely manner.

This data covers a time period during the coronavirus (COVID-19) pandemic, which has affected NHS services. During the pandemic, hospital services in Wales were reorganised due to enhanced infection prevention and control measures, and the need to treat COVID and non-COVID patients separately. Subsequently, planned operations were significantly reduced, which led to a decrease in non-urgent emergency care. As a result, hospitals experienced lower occupancy rates in 2020-21 than in previous years. This table presents summary information, from the QueSt1 return, provided by the NHS Wales Informatics Service (NWIS), on bed use in Wales. Data presented in this statistical release are a monthly average and illustrate the monthly changing occupancy rates and bed availability. The data do not present data on average length of stay, turnover interval and bed use factor. These indicators are calculated using data on deaths and discharges which is no longer collected via the QS1 return, and need to be derived from the Patient Episode Database for Wales (PEDW) for 2012-13 onwards. When carrying out more detailed analysis of the deaths and discharges data from PEDW in preparation for the 2012-13 release, data quality issues arose in relation to assessment unit (AU) activity reporting in QS1 and in PEDW and how this should be treated in the data. It was identified that there is inconsistency in the reporting of assessment units, with some LHBs reporting AU activity within their beds data, and others omitting them. This inconsistency in the reporting of AU activity is also likely to affect historic data. Please find information on changes to the data published on NHS beds, as per the given weblink.