8 datasets found
  1. MDCOVID19 TotalProbableDeathsByDateOfDeath

    • data.imap.maryland.gov
    • coronavirus.maryland.gov
    • +1more
    Updated May 22, 2020
    + more versions
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    ArcGIS Online for Maryland (2020). MDCOVID19 TotalProbableDeathsByDateOfDeath [Dataset]. https://data.imap.maryland.gov/datasets/50036695d3744b7ba2bc94f66dd76355
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    Dataset updated
    May 22, 2020
    Dataset provided by
    Authors
    ArcGIS Online for Maryland
    Description

    SummaryThe cumulative number of probable COVID-19 deaths among Maryland residents, by date of death.DescriptionThe MD COVID-19 - Total Probable Deaths by Date of Death data layer is a collection of the statewide probable COVID-19 related deaths that have been reported each day by the Vital Statistics Administration by date of death. A death is classified as probable if the person's death certificate notes COVID-19 to be a probable, suspect or presumed cause or condition. Probable deaths are not yet been confirmed by a laboratory test. Some data on deaths may be unavailable due to the time lag between the death, typically reported by a hospital or other facility, and the submission of the complete death certificate. Confirmed deaths are available from the MD COVID-19 - Total Confirmed Deaths by Date of Death data layer.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

  2. h

    Deeply-phenotyped hospital COVID patients: severity, acuity, therapies,...

    • healthdatagateway.org
    unknown
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    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158), Deeply-phenotyped hospital COVID patients: severity, acuity, therapies, outcomes [Dataset]. https://healthdatagateway.org/dataset/145
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    unknownAvailable download formats
    Dataset authored and provided by
    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
    License

    https://www.pioneerdatahub.co.uk/data/data-request-process/https://www.pioneerdatahub.co.uk/data/data-request-process/

    Description

    PIONEER: Deeply-phenotyped hospital COVID patients: severity, acuity, therapies, outcomes Dataset number 4.0

    Coronavirus disease 2019 (COVID-19) was identified in January 2020. Currently, there have been more than 6 million cases& more than 1.5 million deaths worldwide. Some individuals experience severe manifestations of infection, including viral pneumonia, adult respiratory distress syndrome (ARDS)& death. There is a pressing need for tools to stratify patients, to identify those at greatest risk. Acuity scores are composite scores which help identify patients who are more unwell to support & prioritise clinical care. There are no validated acuity scores for COVID-19 & it is unclear whether standard tools are accurate enough to provide this support. This secondary care COVID dataset contains granular demographic, morbidity, serial acuity and outcome data to inform risk prediction tools in COVID-19.

    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. Each day >100,000 people are treated in hospital, see their GP or are cared for by the NHS. The West Midlands was one of the hardest hit regions for COVID admissions in both wave 1 & 2.

    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”. UHB has cared for >5000 COVID admissions to date.

    Scope: All COVID swab confirmed hospitalised patients to UHB from January – May 2020. The dataset includes highly granular patient demographics & co-morbidities taken from ICD-10 & SNOMED-CT codes but also primary care records& clinic letters. Serial, structured data pertaining to care process (timings, staff grades, specialty review, wards), presenting complaint, acuity, all physiology readings (pulse, blood pressure, respiratory rate, oxygen saturations), all blood results, microbiology, all prescribed & administered treatments (fluids, antibiotics, inotropes, vasopressors, organ support), all outcomes. Linked images available (radiographs, CT, MRI, ultrasound).

    Available supplementary data: Health data preceding & following admission event. Matched “non-COVID” controls; 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.

  3. MDCOVID19 ConfirmedDeathsByRaceAndEthnicityDistribution

    • data.imap.maryland.gov
    • dev-maryland.opendata.arcgis.com
    • +2more
    Updated May 22, 2020
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    ArcGIS Online for Maryland (2020). MDCOVID19 ConfirmedDeathsByRaceAndEthnicityDistribution [Dataset]. https://data.imap.maryland.gov/datasets/312715a843064ef18879eb726f64c63a
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    Dataset updated
    May 22, 2020
    Dataset provided by
    Authors
    ArcGIS Online for Maryland
    Description

    SummaryThe cumulative number of confirmed COVID-19-related deaths among Maryland residents by race and ethnicity: African American; White; Hispanic; Asian; Other; Unknown.DescriptionThe MD COVID-19 - Confirmed Deaths by Race and Ethnicity Distribution data layer is a collection of the statewide confirmed and probable COVID-19 related deaths that have been reported each day by the Vital Statistics Administration by categories of race and ethnicity. A death is classified as confirmed if the person had a laboratory-confirmed positive COVID-19 test result. Some data on deaths may be unavailable due to the time lag between the death, typically reported by a hospital or other facility, and the submission of the complete death certificate. Probable deaths are available from the MD COVID-19 - Probable Deaths by Race and Ethnicity Distribution data layer.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

  4. MDCOVID19 ConfirmedDeathsByAgeDistribution

    • hub.arcgis.com
    • data.imap.maryland.gov
    • +3more
    Updated May 22, 2020
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    ArcGIS Online for Maryland (2020). MDCOVID19 ConfirmedDeathsByAgeDistribution [Dataset]. https://hub.arcgis.com/datasets/b51451a222cd4c3d89a58c3393212cc7
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    Dataset updated
    May 22, 2020
    Dataset provided by
    Authors
    ArcGIS Online for Maryland
    Description

    SummaryThe cumulative number of confirmed COVID-19 deaths among Maryland residents by age: 0-9; 10-19; 20-29; 30-39; 40-49; 50-59; 60-69; 70-79; 80+; Unknown.DescriptionThe MD COVID-19 - Confirmed Deaths by Age Distribution data layer is a collection of the statewide confirmed COVID-19 related deaths that have been reported each day by the Vital Statistics Administration by designated age ranges. A death is classified as confirmed if the person had a laboratory-confirmed positive COVID-19 test result. Some data on deaths may be unavailable due to the time lag between the death, typically reported by a hospital or other facility, and the submission of the complete death certificate. Probable deaths are available from the MD COVID-19 - Probable Deaths by Age Distribution data layer.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

  5. h

    The impact of COVID on hospitalised patients with COPD; a dataset in OMOP

    • healthdatagateway.org
    unknown
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    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158), The impact of COVID on hospitalised patients with COPD; a dataset in OMOP [Dataset]. https://healthdatagateway.org/dataset/191
    Explore at:
    unknownAvailable download formats
    Dataset authored and provided by
    This publication uses data from PIONEER, an ethically approved database and analytical environment (East Midlands Derby Research Ethics 20/EM/0158)
    License

    https://www.pioneerdatahub.co.uk/data/data-request-process/https://www.pioneerdatahub.co.uk/data/data-request-process/

    Description

    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.

  6. MDCOVID19 ProbableDeathsByGenderDistribution

    • data-maryland.opendata.arcgis.com
    • coronavirus.maryland.gov
    • +4more
    Updated May 22, 2020
    + more versions
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    ArcGIS Online for Maryland (2020). MDCOVID19 ProbableDeathsByGenderDistribution [Dataset]. https://data-maryland.opendata.arcgis.com/datasets/1f4b0ea340b64158b56faf3ee7db8cb8
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    Dataset updated
    May 22, 2020
    Dataset provided by
    Authors
    ArcGIS Online for Maryland
    Description

    SummaryThe cumulative number of probable COVID-19 deaths among Maryland residents by gender: Female; Male; Unknown.DescriptionThe MD COVID-19 - Probable Deaths by Gender Distribution data layer is a collection of the statewide confirmed and probable COVID-19 related deaths that have been reported each day by the Vital Statistics Administration by gender. A death is classified as probable if the person's death certificate notes COVID-19 to be a probable, suspect or presumed cause or condition. Probable deaths are not yet been confirmed by a laboratory test. Some data on deaths may be unavailable due to the time lag between the death, typically reported by a hospital or other facility, and the submission of the complete death certificate. Confirmed deaths are available from the MD COVID-19 - Confirmed Deaths by Gender Distribution data layer.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

  7. h

    Annual District Death Daily (ADDD)

    • healthdatagateway.org
    unknown
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    Digital Health and Care Wales, Annual District Death Daily (ADDD) [Dataset]. https://healthdatagateway.org/en/dataset/323
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    unknownAvailable download formats
    Dataset authored and provided by
    Digital Health and Care Wales
    License

    https://saildatabank.com/data/apply-to-work-with-the-data/https://saildatabank.com/data/apply-to-work-with-the-data/

    Description

    ADDD is a project specific dataset for specific COVID-19 related projects only. Data relating to deaths are available from the ADDE dataset.

    Daily version of Annual District Deaths Datasets. Office for National Statistics (ONS) register of all deaths relating to Welsh residents, including those that died outside of Wales.

    The data are collected from death registrations.

  8. MDCOVID19 ProbableDeathsByCounty

    • data-maryland.opendata.arcgis.com
    • data.imap.maryland.gov
    • +1more
    Updated May 22, 2020
    + more versions
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    ArcGIS Online for Maryland (2020). MDCOVID19 ProbableDeathsByCounty [Dataset]. https://data-maryland.opendata.arcgis.com/datasets/mdcovid19-probabledeathsbycounty/api
    Explore at:
    Dataset updated
    May 22, 2020
    Dataset provided by
    Authors
    ArcGIS Online for Maryland
    Description

    SummaryThe cumulative number of probable COVID-19-related deaths among Maryland residents within a single Maryland jurisdiction.DescriptionThe MD COVID-19 - Probable Deaths by County data layer is a collection of the statewide probable COVID-19 related deaths that have been reported each day by the Vital Statistics Administration that have occurred in each Maryland jurisdiction. A death is classified as probable if the person's death certificate notes COVID-19 to be a probable, suspect or presumed cause or condition. Probable deaths are not yet been confirmed by a laboratory test. Some data on deaths may be unavailable due to the time lag between the death, typically reported by a hospital or other facility, and the submission of the complete death certificate. This data layer does not include confirmed deaths. Confirmed deaths are available from the MD COVID-19 - Confirmed Deaths by County data layer.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

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ArcGIS Online for Maryland (2020). MDCOVID19 TotalProbableDeathsByDateOfDeath [Dataset]. https://data.imap.maryland.gov/datasets/50036695d3744b7ba2bc94f66dd76355
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MDCOVID19 TotalProbableDeathsByDateOfDeath

Explore at:
Dataset updated
May 22, 2020
Dataset provided by
Authors
ArcGIS Online for Maryland
Description

SummaryThe cumulative number of probable COVID-19 deaths among Maryland residents, by date of death.DescriptionThe MD COVID-19 - Total Probable Deaths by Date of Death data layer is a collection of the statewide probable COVID-19 related deaths that have been reported each day by the Vital Statistics Administration by date of death. A death is classified as probable if the person's death certificate notes COVID-19 to be a probable, suspect or presumed cause or condition. Probable deaths are not yet been confirmed by a laboratory test. Some data on deaths may be unavailable due to the time lag between the death, typically reported by a hospital or other facility, and the submission of the complete death certificate. Confirmed deaths are available from the MD COVID-19 - Total Confirmed Deaths by Date of Death data layer.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

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