100+ datasets found
  1. d

    COVID-19 Hospital Admissions Over Time

    • catalog.data.gov
    • data.sfgov.org
    • +1more
    Updated Jul 19, 2025
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    data.sfgov.org (2025). COVID-19 Hospital Admissions Over Time [Dataset]. https://catalog.data.gov/dataset/covid-19-hospital-admissions-over-time
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    Dataset updated
    Jul 19, 2025
    Dataset provided by
    data.sfgov.org
    Description

    On 7/18/2025, we will be pausing COVID-19 hospitalization admission data to assess data quality and completeness. A. SUMMARY This dataset includes information on COVID+ hospital admissions for San Francisco residents into San Francisco hospitals. Specifically, the dataset includes the count and rate of COVID+ hospital admissions per 100,000. The data are reported by week. B. HOW THE DATASET IS CREATED Hospital admission data is reported to the San Francisco Department of Public Health (SFDPH) via the COVID Hospital Data Repository (CHDR), a system created via health officer order C19-16. The data includes all San Francisco hospitals except for the San Francisco VA Medical Center. San Francisco population estimates are pulled from a view based on the San Francisco Population and Demographic Census dataset. These population estimates are from the 2018-2022 5-year American Community Survey (ACS). C. UPDATE PROCESS Data updates weekly on Wednesday with data for the past Wednesday-Tuesday (one week lag). Data may change as more current information becomes available. D. HOW TO USE THIS DATASET New admissions are the count of COVID+ hospital admissions among San Francisco residents to San Francisco hospitals by week. The admission rate per 100,000 is calculated by multiplying the count of admissions each week by 100,000 and dividing by the population estimate. E. CHANGE LOG 7/18/2025 - Dataset update is paused to assess data quality and completeness. 9/12/2024 - We updated the data source for our COVID-19 hospitalization data to a San Francisco specific dataset. These new data differ slightly from previous hospitalization data sources but the overall patterns and trends in hospitalizations remain consistent. You can access the previous data here.

  2. COVID-19 Hospital Admissions Database .xlsx

    • figshare.com
    xlsx
    Updated Feb 17, 2023
    + more versions
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    Edna Ribeiro de Jesus; Julia Estela Willrich Boell; Juliana Cristina Lessmann Reckziegel; Michelle Mariah Malkiewiez; Vanessa Cruz Corrêa Weissenberg; Millena Maria Piccolin; Rafael Sittoni Vaz; Marco Aurélio Goulart; Flávia Marin Peluso; Tiago da Cruz Nogueira; Márcio Costa Silveira de Ávila; Ruan Steinbach Pacher; Catiele Raquel Schmidt; Elisiane Lorenzini (2023). COVID-19 Hospital Admissions Database .xlsx [Dataset]. http://doi.org/10.6084/m9.figshare.16746073.v4
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    xlsxAvailable download formats
    Dataset updated
    Feb 17, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Edna Ribeiro de Jesus; Julia Estela Willrich Boell; Juliana Cristina Lessmann Reckziegel; Michelle Mariah Malkiewiez; Vanessa Cruz Corrêa Weissenberg; Millena Maria Piccolin; Rafael Sittoni Vaz; Marco Aurélio Goulart; Flávia Marin Peluso; Tiago da Cruz Nogueira; Márcio Costa Silveira de Ávila; Ruan Steinbach Pacher; Catiele Raquel Schmidt; Elisiane Lorenzini
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The dataset contains information from a cohort of 799 patients admitted in the hospital for COVID-19, characterized with sociodemographic and clinical data. Retrospectively, from November 2020 to January 2021, data was collected from the medical records of all hospital admissions that occurred from March 1st, 2020, to December 31st, 2020. The analysis of these data can contribute to the definition of the clinical and sociodemographic profile of patients with COVID-19. Understanding these data can contribute to elucidating the sociodemographic profile, clinical variables and health conditions of patients hospitalized by COVID-19. To this end, this database contains a wide range of variables, such as: Month of hospitalization Sex Age group Ethnicity Marital status Paid work Admission to clinical ward Hospitalization in the Intensive Care Unit (ICU) COVID-19 diagnosis Number of times hospitalized by COVID-19 Hospitalization time in days Risk Classification Protocol Data is presented as a single Excel XLSX file: dataset.xlsx of clinical and sociodemographic characteristics of hospital admissions by COVID-19: retrospective cohort of patients in two hospitals in the Southern of Brazil. Researchers interested in studying the data related to patients affected by COVID-19 can extensively explore the variables described here. Approved by the Research Ethics Committee (No. 4.323.917/2020) of the Federal University of Santa Catarina.

  3. Breakdown of COVID-19 positive hospital admissions

    • open.canada.ca
    csv, html
    Updated Jul 30, 2025
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    Government of Ontario (2025). Breakdown of COVID-19 positive hospital admissions [Dataset]. https://open.canada.ca/data/en/dataset/8033f5df-6db8-41fe-921a-5f1160b4d75b
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    csv, htmlAvailable download formats
    Dataset updated
    Jul 30, 2025
    Dataset provided by
    Government of Ontariohttps://www.ontario.ca/
    License

    Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
    License information was derived automatically

    Time period covered
    Jan 10, 2022 - Nov 14, 2024
    Description

    This dataset details the percentage of COVID-19 positive patients in hospitals and ICUs for COVID-19 related reasons, and for reasons other than COVID-19. Data includes: * reporting date * percentage of COVID-19 positive patients in hospital admitted for COVID-19 * percentage of COVID-19 positive patients in hospital admitted for other reasons * percentage of COVID-19 positive patients in ICU admitted for COVID-19 * percentage of COVID-19 positive patients in ICU admitted for other reasons **Effective November 14, 2024 this page will no longer be updated. Information about COVID-19 and other respiratory viruses is available on Public Health Ontario’s interactive respiratory virus tool: https://www.publichealthontario.ca/en/Data-and-Analysis/Infectious-Disease/Respiratory-Virus-Tool ** Due to incomplete weekend and holiday reporting, data for hospital and ICU admissions are not updated on Sundays, Mondays and the day after holidays. This dataset is subject to change.

  4. Weekly United States COVID-19 Hospitalization Metrics by County – ARCHIVED

    • data.virginia.gov
    • healthdata.gov
    • +1more
    csv, json, rdf, xsl
    Updated Feb 23, 2025
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    Centers for Disease Control and Prevention (2025). Weekly United States COVID-19 Hospitalization Metrics by County – ARCHIVED [Dataset]. https://data.virginia.gov/dataset/weekly-united-states-covid-19-hospitalization-metrics-by-county-archived
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    rdf, json, xsl, csvAvailable download formats
    Dataset updated
    Feb 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    Note: After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.

    Note: May 3,2024: Due to incomplete or missing hospital data received for the April 21,2024 through April 27, 2024 reporting period, the COVID-19 Hospital Admissions Level could not be calculated for CNMI and will be reported as “NA” or “Not Available” in the COVID-19 Hospital Admissions Level data released on May 3, 2024.

    This dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.

    Reporting information:

    • As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).
    • While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.
    • Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.
    • Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.
    • Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf
    Calculation of county-level hospital metrics:
    • County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level.
    • Data presented at the county-level represent admissions, hospital inpatient and ICU bed capacity and occupancy among hosp

  5. COVID-19 Reported Patient Impact and Hospital Capacity by Facility -- RAW

    • odgavaprod.ogopendata.com
    • healthdata.gov
    • +4more
    csv, json, rdf, xsl
    Updated Jul 3, 2025
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    U.S. Department of Health and Human Services (2025). COVID-19 Reported Patient Impact and Hospital Capacity by Facility -- RAW [Dataset]. https://odgavaprod.ogopendata.com/dataset/covid-19-reported-patient-impact-and-hospital-capacity-by-facility-raw
    Explore at:
    rdf, json, xsl, csvAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Description

    After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations.

    The following dataset provides facility-level data for hospital utilization aggregated on a weekly basis (Sunday to Saturday). These are derived from reports with facility-level granularity across two main sources: (1) HHS TeleTracking, and (2) reporting provided directly to HHS Protect by state/territorial health departments on behalf of their healthcare facilities.

    The hospital population includes all hospitals registered with Centers for Medicare & Medicaid Services (CMS) as of June 1, 2020. It includes non-CMS hospitals that have reported since July 15, 2020. It does not include psychiatric, rehabilitation, Indian Health Service (IHS) facilities, U.S. Department of Veterans Affairs (VA) facilities, Defense Health Agency (DHA) facilities, and religious non-medical facilities.

    For a given entry, the term “collection_week” signifies the start of the period that is aggregated. For example, a “collection_week” of 2020-11-15 means the average/sum/coverage of the elements captured from that given facility starting and including Sunday, November 15, 2020, and ending and including reports for Saturday, November 21, 2020.

    Reported elements include an append of either “_coverage”, “_sum”, or “_avg”.

    • A “_coverage” append denotes how many times the facility reported that element during that collection week.
    • A “_sum” append denotes the sum of the reports provided for that facility for that element during that collection week.
    • A “_avg” append is the average of the reports provided for that facility for that element during that collection week.

    The file will be updated weekly. No statistical analysis is applied to impute non-response. For averages, calculations are based on the number of values collected for a given hospital in that collection week. Suppression is applied to the file for sums and averages less than four (4). In these cases, the field will be replaced with “-999,999”.

    A story page was created to display both corrected and raw datasets and can be accessed at this link: https://healthdata.gov/stories/s/nhgk-5gpv

    This data is preliminary and subject to change as more data become available. Data is available starting on July 31, 2020.

    Sometimes, reports for a given facility will be provided to both HHS TeleTracking and HHS Protect. When this occurs, to ensure that there are not duplicate reports, deduplication is applied according to prioritization rules within HHS Protect.

    For influenza fields listed in the file, the current HHS guidance marks these fields as optional. As a result, coverage of these elements are varied.

    For recent updates to the dataset, scroll to the bottom of the dataset description.

    On May 3, 2021, the following fields have been added to this data set.

    • hhs_ids
    • previous_day_admission_adult_covid_confirmed_7_day_coverage
    • previous_day_admission_pediatric_covid_confirmed_7_day_coverage
    • previous_day_admission_adult_covid_suspected_7_day_coverage
    • previous_day_admission_pediatric_covid_suspected_7_day_coverage
    • previous_week_personnel_covid_vaccinated_doses_administered_7_day_sum
    • total_personnel_covid_vaccinated_doses_none_7_day_sum
    • total_personnel_covid_vaccinated_doses_one_7_day_sum
    • total_personnel_covid_vaccinated_doses_all_7_day_sum
    • previous_week_patients_covid_vaccinated_doses_one_7_day_sum
    • previous_week_patients_covid_vaccinated_doses_all_

  6. COVID-19 Hospital Data (ARCHIVED)

    • data.chhs.ca.gov
    • data.ca.gov
    • +3more
    csv, zip
    Updated Mar 3, 2025
    + more versions
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    California Department of Public Health (2025). COVID-19 Hospital Data (ARCHIVED) [Dataset]. https://data.chhs.ca.gov/dataset/covid-19-hospital-data
    Explore at:
    csv(3296422), zipAvailable download formats
    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    This dataset is not being updated as hospitals are no longer mandated to report COVID Hospitalizations to CDPH.

    Data is from the California COVID-19 State Dashboard at https://covid19.ca.gov/state-dashboard/

    Note: Hospitalization counts include all patients diagnosed with COVID-19 during their stay. This does not necessarily mean they were hospitalized because of COVID-19 complications or that they experienced COVID-19 symptoms.

    Note: Cumulative totals are not available due to the fact that hospitals report the total number of patients each day (as opposed to new patients).

  7. United States COVID-19 Hospitalization Metrics by Jurisdiction, Timeseries –...

    • odgavaprod.ogopendata.com
    • healthdata.gov
    • +1more
    csv, json, rdf, xsl
    Updated Feb 23, 2025
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    Centers for Disease Control and Prevention (2025). United States COVID-19 Hospitalization Metrics by Jurisdiction, Timeseries – ARCHIVED [Dataset]. https://odgavaprod.ogopendata.com/dataset/united-states-covid-19-hospitalization-metrics-by-jurisdiction-timeseries-archived
    Explore at:
    xsl, rdf, csv, jsonAvailable download formats
    Dataset updated
    Feb 23, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Area covered
    United States
    Description

    Note: After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. The related CDC COVID Data Tracker site was revised or retired on May 10, 2023.

    This dataset represents daily COVID-19 hospitalization data and metrics aggregated to national, state/territory, and regional levels. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.

    Reporting information:

    • As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS).
    • While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks.
    • Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations.
    • Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files.
    • Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf

    Metric details:

    • Time Period: timeseries data will update weekly on Mondays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections.
    • New COVID-19 Hospital Admissions (count): Number of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.
    • New COVID-19 Hospital Admissions (7-Day Average): 7-day average of new admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction.
    • Cumulative COVID-19 Hospital Admissions: Cumulative total number of admissions of patients with laborat

  8. f

    Table_2_The Impact of COVID-19 on Hospital Admissions in Croatia.XLSX

    • frontiersin.figshare.com
    xlsx
    Updated May 30, 2023
    + more versions
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    Karolina Kalanj; Ric Marshall; Karl Karol; Mirjana Kujundžić Tiljak; Stjepan Orešković (2023). Table_2_The Impact of COVID-19 on Hospital Admissions in Croatia.XLSX [Dataset]. http://doi.org/10.3389/fpubh.2021.720948.s002
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    xlsxAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Frontiers
    Authors
    Karolina Kalanj; Ric Marshall; Karl Karol; Mirjana Kujundžić Tiljak; Stjepan Orešković
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Croatia
    Description

    Background: The COVID-19 pandemic disrupted hospital care, as hospitals had to deal with a highly infectious virus, while at the same time continuing to fulfill the ongoing health service needs of their communities. This study examines the direct effects of COVID-19 on the delivery of inpatient care in Croatia.Materials and Methods: The research is a retrospective, comparative analysis of the hospital admission rate across all Diagnosis Related Group (DRG) classes before and during the pandemic. It is based on DRG data from all non-specialized acute hospitals in Croatia, which account for 96% of national inpatient activity. The study also used COVID-19 data from the Croatian Institute of Public Health (CIPH).Results: The results show a 21% decrease in the total number of admissions [incident rate ratio (IRR) 0.8, p < 0.0001] across the hospital network during the pandemic in 2020, with the greatest drop occurring in April, when admissions plunged by 51%. The decrease in activity occurred in non-elective DRG classes such as cancers, stroke, major chest procedures, heart failure, and renal failure. Coinciding with this reduction however, there was a 37% increase (IRR 1.39, p < 0.0001) in case activity across six COVID-19 related DRG classes.Conclusions: The reduction in hospital inpatient activity during 2020, can be attributed to a number of factors such as lock-downs and quarantining, reorganization of hospital operations, the rationing of the medical workforce, and the reluctance of people to seek hospital care. Further research is needed to examine the consequences of disruption to hospital care in Croatia. Our recommendation is to invest multidisciplinary effort in reviewing response procedures to emergencies such as COVID-19 with the aim of minimizing their impact on other, and equally important community health care needs.

  9. covid-19-hospital-data-coverage-summary

    • huggingface.co
    Updated May 1, 2024
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    Department of Health and Human Services (2024). covid-19-hospital-data-coverage-summary [Dataset]. https://huggingface.co/datasets/HHS-Official/covid-19-hospital-data-coverage-summary
    Explore at:
    Dataset updated
    May 1, 2024
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    Department of Health and Human Services
    License

    https://choosealicense.com/licenses/odbl/https://choosealicense.com/licenses/odbl/

    Description

    COVID-19 Hospital Data Coverage Summary

      Description
    

    After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations.

    This report shows a summary of… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/covid-19-hospital-data-coverage-summary.

  10. COVID-19 Wider Impacts - Hospital Admissions

    • dtechtive.com
    • find.data.gov.scot
    csv
    Updated Oct 5, 2023
    + more versions
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    Public Health Scotland (2023). COVID-19 Wider Impacts - Hospital Admissions [Dataset]. https://dtechtive.com/datasets/19562
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    csv(3.9795 MB), csv(8.3057 MB), csv(3.1143 MB), csv(7.3926 MB), csv(4.1864 MB), csv(1.551 MB)Available download formats
    Dataset updated
    Oct 5, 2023
    Dataset provided by
    Public Health Scotland
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    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 hospital admissions. Data are shown by age group, sex, broad deprivation category and specialty groups. 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.

  11. Hospital admission rates for COVID-19

    • kaggle.com
    zip
    Updated Oct 20, 2021
    + more versions
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    Habib Gültekin (2021). Hospital admission rates for COVID-19 [Dataset]. https://www.kaggle.com/hgultekin/hospital-admission-rates-for-covid19
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    zip(239343 bytes)Available download formats
    Dataset updated
    Oct 20, 2021
    Authors
    Habib Gültekin
    License

    http://opendatacommons.org/licenses/dbcl/1.0/http://opendatacommons.org/licenses/dbcl/1.0/

    Description

    Context

    These data files contain information about hospitalisation and Intensive Care Unit (ICU) admission rates and current occupancy for COVID-19 by date and country. The data are updated weekly.

    Source

  12. COVID-19 Hospital Data Coverage for Hospital in Suspense

    • odgavaprod.ogopendata.com
    • healthdata.gov
    • +2more
    csv, json, rdf, xsl
    Updated Jul 3, 2025
    + more versions
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    U.S. Department of Health and Human Services (2025). COVID-19 Hospital Data Coverage for Hospital in Suspense [Dataset]. https://odgavaprod.ogopendata.com/dataset/covid-19-hospital-data-coverage-for-hospital-in-suspense
    Explore at:
    json, xsl, csv, rdfAvailable download formats
    Dataset updated
    Jul 3, 2025
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Description

    After May 3, 2024, this dataset and webpage will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, and hospital capacity and occupancy data, to HHS through CDC’s National Healthcare Safety Network. Data voluntarily reported to NHSN after May 1, 2024, will be available starting May 10, 2024, at COVID Data Tracker Hospitalizations.

    This report shows facilities currently in suspense regarding CoP requirements due to being in a work plan or other related reasons is shown if any facilities are currently in suspense. These CCNs will not be included in the tab listing all other hospitals or included in any summary counts while in suspense.
    01/05/2024 – As of FAQ 6, the following optional fields have been added to this report:

  13. total_adult_patients_hospitalized_confirmed_influenza
  14. total_pediatric_patients_hospitalized_confirmed_influenza
  15. previous_day_admission_adult_influenza_confirmed
  16. previous_day_admission_pediatric_influenza_confirmed
  17. staffed_icu_adult_patients_confirmed_influenza
  18. staffed_icu_pediatric_patients_confirmed_influenza
  19. total_adult_patients_hospitalized_confirmed_rsv
  20. total_pediatric_patients_hospitalized_confirmed_rsv
  21. previous_day_admission_adult_rsv_confirmed
  22. previous_day_admission_pediatric_rsv_confirmed
  23. staffed_icu_adult_patients_confirmed_rsv
  24. staffed_icu_pediatric_patients_confirmed_rsv

  25. 6/17/2023 - With the new 28-day compliance reporting period, CoP reports will be posted every 4 weeks.
  26. 9/12/2021 - To view other COVID-19 Hospital Data Coverage datasets, follow this link to view summary page: https://healthdata.gov/stories/s/ws49-ddj5
  27. As of FAQ3, the following field are federally inactive and will no longer be included in this report:

  28. previous_week_personnel_covid_vaccinated_doses_administered
  29. total_personnel_covid_vaccinated_doses_none
  30. total_personnel_covid_vaccinated_doses_one
  31. total_personnel_covid_vaccinated_doses_all
  32. total_personnel
  33. previous_week_patients_covid_vaccinated_doses_one
  34. previous_week_patients_covid_vaccinated_doses_all
  • d

    ARCHIVED: COVID-19 Hospitalizations Over Time

    • catalog.data.gov
    • data.sfgov.org
    Updated Mar 29, 2025
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    data.sfgov.org (2025). ARCHIVED: COVID-19 Hospitalizations Over Time [Dataset]. https://catalog.data.gov/dataset/covid-19-hospitalizations
    Explore at:
    Dataset updated
    Mar 29, 2025
    Dataset provided by
    data.sfgov.org
    Description

    As of 9/12/2024, we will begin reporting on hospitalization data again using a new San Francisco specific dataset. Updated data can be accessed here. On 5/1/2024, hospitalization data reporting will change from mandatory to optional for all hospitals nationwide. We will be pausing the refresh of the underlying data beginning 5/2/2024. A. SUMMARY Count of COVID+ patients admitted to the hospital. Patients who are hospitalized and test positive for COVID-19 may be admitted to an acute care bed (a regular hospital bed), or an intensive care unit (ICU) bed. This data shows the daily total count of COVID+ patients in these two bed types, and the data reflects totals from all San Francisco Hospitals. B. HOW THE DATASET IS CREATED Hospital information is based on admission data reported to the National Healthcare Safety Network (NHSN) and provided by the California Department of Public Health (CDPH). C. UPDATE PROCESS Updates automatically every week. D. HOW TO USE THIS DATASET Each record represents how many people were hospitalized on the date recorded in either an ICU bed or acute care bed (shown as Med/Surg under DPHCategory field). The dataset shown here includes all San Francisco hospitals and updates weekly with data for the past Sunday-Saturday as information is collected and verified. Data may change as more current information becomes available. E. CHANGE LOG9/12/2024 -Hospitalization data are now being tracked through a new source and are available here. 5/1/2024 - hospitalization data reporting to the National Healthcare Safety Network (NHSN) changed from mandatory to optional for all hospitals nationwide. We will be pausing the refresh of the underlying data beginning 5/2/2024. 12/14/2023 – added column “hospitalreportingpct” to indicate the percentage of hospitals who submitted data on each report date. 8/7/2023 - In response to the end of the federal public health emergency on 5/11/2023 the California Hospital Association (CHA) stopped the collection and dissemination of COVID-19 hospitalization data. In alignment with the California Department of Public Health (CDPH), hospitalization data from 5/11/2023 onward are being pulled from the National Healthcare Safety Network (NHSN). The NHSN data is updated weekly and does not include information on COVID suspected (PUI) patients. 4/9/2021 - dataset updated daily with a four-day data lag.

  • f

    Patient characteristics at COVID-19 hospital admission by timing of...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated May 19, 2022
    + more versions
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    Schriver, Emily R.; Bar, Katharine J.; Ellenberg, Susan S.; Mowery, Danielle L.; Mahoney, Kevin B.; Shaw, Pamela A.; Yang, Jasper B. (2022). Patient characteristics at COVID-19 hospital admission by timing of admission. [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000317357
    Explore at:
    Dataset updated
    May 19, 2022
    Authors
    Schriver, Emily R.; Bar, Katharine J.; Ellenberg, Susan S.; Mowery, Danielle L.; Mahoney, Kevin B.; Shaw, Pamela A.; Yang, Jasper B.
    Description

    Patient characteristics at COVID-19 hospital admission by timing of admission.

  • Centers for Disease Control and Prevention, Division of Healthcare Quality...

    • opendata.ramseycountymn.gov
    csv, xlsx, xml
    Updated Oct 21, 2025
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    CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN) (2025). Centers for Disease Control and Prevention, Division of Healthcare Quality Promotion, National Healthcare Safety Network, Weekly United States COVID-19 Hospitalization Metrics - Ramsey County [Dataset]. https://opendata.ramseycountymn.gov/w/5mvu-4mt4/cjij-g4h4?cur=wCPAmhgX7ip
    Explore at:
    csv, xml, xlsxAvailable download formats
    Dataset updated
    Oct 21, 2025
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC Division of Healthcare Quality Promotion (DHQP) Surveillance Branch, National Healthcare Safety Network (NHSN)
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    Ramsey County, United States
    Description

    Note: This dataset has been limited to show metrics for Ramsey County, Minnesota.

    This dataset represents COVID-19 hospitalization data and metrics aggregated to county or county-equivalent, for all counties or county-equivalents (including territories) in the United States. COVID-19 hospitalization data are reported to CDC’s National Healthcare Safety Network, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN and included in this dataset represent aggregated counts and include metrics capturing information specific to COVID-19 hospital admissions, and inpatient and ICU bed capacity occupancy.

    Reporting information: As of December 15, 2022, COVID-19 hospital data are required to be reported to NHSN, which monitors national and local trends in healthcare system stress, capacity, and community disease levels for approximately 6,000 hospitals in the United States. Data reported by hospitals to NHSN represent aggregated counts and include metrics capturing information specific to hospital capacity, occupancy, hospitalizations, and admissions. Prior to December 15, 2022, hospitals reported data directly to the U.S. Department of Health and Human Services (HHS) or via a state submission for collection in the HHS Unified Hospital Data Surveillance System (UHDSS). While CDC reviews these data for errors and corrects those found, some reporting errors might still exist within the data. To minimize errors and inconsistencies in data reported, CDC removes outliers before calculating the metrics. CDC and partners work with reporters to correct these errors and update the data in subsequent weeks. Many hospital subtypes, including acute care and critical access hospitals, as well as Veterans Administration, Defense Health Agency, and Indian Health Service hospitals, are included in the metric calculations provided in this report. Psychiatric, rehabilitation, and religious non-medical hospital types are excluded from calculations. Data are aggregated and displayed for hospitals with the same Centers for Medicare and Medicaid Services (CMS) Certification Number (CCN), which are assigned by CMS to counties based on the CMS Provider of Services files. Full details on COVID-19 hospital data reporting guidance can be found here: https://www.hhs.gov/sites/default/files/covid-19-faqs-hospitals-hospital-laboratory-acute-care-facility-data-reporting.pdf

    Calculation of county-level hospital metrics: County-level hospital data are derived using calculations performed at the Health Service Area (HSA) level. An HSA is defined by CDC’s National Center for Health Statistics as a geographic area containing at least one county which is self-contained with respect to the population’s provision of routine hospital care. Every county in the United States is assigned to an HSA, and each HSA must contain at least one hospital. Therefore, use of HSAs in the calculation of local hospital metrics allows for more accurate characterization of the relationship between health care utilization and health status at the local level. Data presented at the county-level represent admissions, hospital inpatient and ICU bed capacity and occupancy among hospitals within the selected HSA. Therefore, admissions, capacity, and occupancy are not limited to residents of the selected HSA. For all county-level hospital metrics listed below the values are calculated first for the entire HSA, and then the HSA-level value is then applied to each county within the HSA. For all county-level hospital metrics listed below the values are calculated first for the entire HSA, and then the HSA-level value is then applied to each county within the HSA.

    Metric details: Time period: data for the previous MMWR week (Sunday-Saturday) will update weekly on Thursdays as soon as they are reviewed and verified, usually before 8 pm ET. Updates will occur the following day when reporting coincides with a federal holiday. Note: Weekly updates might be delayed due to delays in reporting. All data are provisional. Because these provisional counts are subject to change, including updates to data reported previously, adjustments can occur. Data may be updated since original publication due to delays in reporting (to account for data received after a given Thursday publication) or data quality corrections. New hospital admissions (count): Total number of admissions of patients with laboratory-confirmed COVID-19 in the previous week (including both adult and pediatric admissions) in the entire jurisdiction New Hospital Admissions Rate Value (Admissions per 100k): Total number of new admissions of patients with laboratory-confirmed COVID-19 in the past week (including both adult and pediatric admissions) for the entire jurisdiction divided by 2019 intercensal population estimate for that jurisdiction multiplied by 100,000. (Note: This metric is used to determine each county’s COVID-19 Hospital Admissions Level for a given week). New COVID-19 Hospital Admissions Rate Level: qualitative value of new COVID-19 hospital admissions rate level [Low, Medium, High, Insufficient Data] New hospital admissions percent change from prior week: Percent change in the current weekly total new admissions of patients with laboratory-confirmed COVID-19 per 100,000 population compared with the prior week. New hospital admissions percent change from prior week level: Qualitative value of percent change in hospital admissions rate from prior week [Substantial decrease, Moderate decrease, Stable, Moderate increase, Substantial increase, Insufficient data] COVID-19 Inpatient Bed Occupancy Value: Percentage of all staffed inpatient beds occupied by patients with laboratory-confirmed COVID-19 (including both adult and pediatric patients) within the in the entire jurisdiction is calculated as an average of valid daily values within the past week (e.g., if only three valid values, the average of those three is taken). Averages are separately calculated for the daily numerators (patients hospitalized with confirmed COVID-19) and denominators (staffed inpatient beds). The average percentage can then be taken as the ratio of these two values for the entire jurisdiction. COVID-19 Inpatient Bed Occupancy Level: Qualitative value of inpatient beds occupied by COVID-19 patients level [Minimal, Low, Moderate, Substantial, High, Insufficient data] COVID-19 Inpatient Bed Occupancy percent change from prior week: The absolute change in the percent of staffed inpatient beds occupied by patients with laboratory-confirmed COVID-19 represents the week-over-week absolute difference between the average occupancy of patients with confirmed COVID-19 in staffed inpatient beds in the past week, compared with the prior week, in the entire jurisdiction. COVID-19 ICU Bed Occupancy Value: Percentage of all staffed inpatient beds occupied by adult patients with confirmed COVID-19 within the entire jurisdiction is calculated as an average of valid daily values within the past week (e.g., if only three valid values, the average of those three is taken). Averages are separately calculated for the daily numerators (adult patients hospitalized with confirmed COVID-19) and denominators (staffed adult ICU beds). The average percentage can then be taken as the ratio of these two values for the entire jurisdiction. COVID-19 ICU Bed Occupancy Level: Qualitative value of ICU beds occupied by COVID-19 patients level [Minimal, Low, Moderate, Substantial, High, Insufficient data] COVID-19 ICU Bed Occupancy percent change from prior week: The absolute change in the percent of staffed ICU beds occupied by patients with laboratory-confirmed COVID-19 represents the week-over-week absolute difference between the average occupancy of patients with confirmed COVID-19 in staffed adult ICU beds for the past week, compared with the prior week, in the in the entire jurisdiction. For all metrics, if there are no data in the specified locality for a given week, the metric value is displayed as “insufficient data”.

  • b

    COVID-19 Pandemic : hospital admissions / treatment statistics to 27 June...

    • opendata.brussels.be
    • opendata.brussel.be
    • +1more
    csv, excel, geojson +1
    Updated Jan 8, 2025
    + more versions
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    (2025). COVID-19 Pandemic : hospital admissions / treatment statistics to 27 June 2023 (Belgium) [Dataset]. https://opendata.brussels.be/explore/dataset/pandemie-covid-19-statistiques-hospitalisations-traitement-arretees-au-27-juin-2023/
    Explore at:
    excel, geojson, csv, jsonAvailable download formats
    Dataset updated
    Jan 8, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Belgium
    Description

    This dataset is based on the "Dataset of hospitalisations by date and provinces" published by Sciensano beginning on March 31st, 2020.We added geographical points to display data on a map, based on the provinces name.

  • weekly-united-states-covid-19-hospitalization-metr

    • huggingface.co
    Updated May 10, 2023
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    Department of Health and Human Services (2023). weekly-united-states-covid-19-hospitalization-metr [Dataset]. https://huggingface.co/datasets/HHS-Official/weekly-united-states-covid-19-hospitalization-metr
    Explore at:
    Dataset updated
    May 10, 2023
    Dataset provided by
    United States Department of Health and Human Serviceshttp://www.hhs.gov/
    Authors
    Department of Health and Human Services
    Area covered
    United States
    Description

    Weekly United States COVID-19 Hospitalization Metrics by Jurisdiction – ARCHIVED

      Description
    

    Note: After May 3, 2024, this dataset will no longer be updated because hospitals are no longer required to report data on COVID-19 hospital admissions, hospital capacity, or occupancy data to HHS through CDC’s National Healthcare Safety Network (NHSN). The related CDC COVID Data Tracker site was revised or retired on May 10, 2023. This dataset represents weekly COVID-19… See the full description on the dataset page: https://huggingface.co/datasets/HHS-Official/weekly-united-states-covid-19-hospitalization-metr.

  • COVID-19 Hospital Admissions Over Time - ydyb-je5g - Archive Repository

    • healthdata.gov
    csv, xlsx, xml
    Updated Jul 19, 2025
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    (2025). COVID-19 Hospital Admissions Over Time - ydyb-je5g - Archive Repository [Dataset]. https://healthdata.gov/dataset/COVID-19-Hospital-Admissions-Over-Time-ydyb-je5g-A/nv5w-ba9x
    Explore at:
    xml, csv, xlsxAvailable download formats
    Dataset updated
    Jul 19, 2025
    Description

    This dataset tracks the updates made on the dataset "COVID-19 Hospital Admissions Over Time" as a repository for previous versions of the data and metadata.

  • Share of U.S. COVID-19 cases resulting in hospitalization from...

    • statista.com
    Updated Jul 27, 2022
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    Statista (2022). Share of U.S. COVID-19 cases resulting in hospitalization from Feb.12-Mar.16, by age [Dataset]. https://www.statista.com/statistics/1105402/covid-hospitalization-rates-us-by-age-group/
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    Dataset updated
    Jul 27, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 12, 2020 - Mar 16, 2020
    Area covered
    United States
    Description

    In the United States between February 12 and March 16, 2020, the percentage of COVID-19 patients hospitalized with the disease increased with age. Findings estimated that up to 70 percent of adults aged 85 years and older were hospitalized.

    Who is at higher risk from COVID-19? The same study also found that coronavirus patients aged 85 and older were at the highest risk of death. There are other risk factors besides age that can lead to serious illness. People with pre-existing medical conditions, such as diabetes, heart disease, and lung disease, can develop more severe symptoms. In the U.S. between January and May 2020, case fatality rates among confirmed COVID-19 patients were higher for those with underlying health conditions.

    How long should you self-isolate? As of August 24, 2020, more than 16 million people worldwide had recovered from COVID-19 disease, which includes patients in health care settings and those isolating at home. The criteria for discharging patients from isolation varies by country, but asymptomatic carriers of the virus can generally be released ten days after their positive case was confirmed. For patients showing signs of the illness, they must isolate for at least ten days after symptom onset and also remain in isolation for a short period after the symptoms have disappeared.

  • Coronavirus (COVID-19) hospital admissions in pregnant women, England: 8...

    • s3.amazonaws.com
    • gov.uk
    Updated Jul 11, 2022
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    Office for National Statistics (2022). Coronavirus (COVID-19) hospital admissions in pregnant women, England: 8 December 2020 to 31 August 2021 [Dataset]. https://s3.amazonaws.com/thegovernmentsays-files/content/182/1822327.html
    Explore at:
    Dataset updated
    Jul 11, 2022
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Office for National Statistics
    Description

    Official statistics are produced impartially and free from political influence.

  • Share
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    data.sfgov.org (2025). COVID-19 Hospital Admissions Over Time [Dataset]. https://catalog.data.gov/dataset/covid-19-hospital-admissions-over-time

    COVID-19 Hospital Admissions Over Time

    Explore at:
    8 scholarly articles cite this dataset (View in Google Scholar)
    Dataset updated
    Jul 19, 2025
    Dataset provided by
    data.sfgov.org
    Description

    On 7/18/2025, we will be pausing COVID-19 hospitalization admission data to assess data quality and completeness. A. SUMMARY This dataset includes information on COVID+ hospital admissions for San Francisco residents into San Francisco hospitals. Specifically, the dataset includes the count and rate of COVID+ hospital admissions per 100,000. The data are reported by week. B. HOW THE DATASET IS CREATED Hospital admission data is reported to the San Francisco Department of Public Health (SFDPH) via the COVID Hospital Data Repository (CHDR), a system created via health officer order C19-16. The data includes all San Francisco hospitals except for the San Francisco VA Medical Center. San Francisco population estimates are pulled from a view based on the San Francisco Population and Demographic Census dataset. These population estimates are from the 2018-2022 5-year American Community Survey (ACS). C. UPDATE PROCESS Data updates weekly on Wednesday with data for the past Wednesday-Tuesday (one week lag). Data may change as more current information becomes available. D. HOW TO USE THIS DATASET New admissions are the count of COVID+ hospital admissions among San Francisco residents to San Francisco hospitals by week. The admission rate per 100,000 is calculated by multiplying the count of admissions each week by 100,000 and dividing by the population estimate. E. CHANGE LOG 7/18/2025 - Dataset update is paused to assess data quality and completeness. 9/12/2024 - We updated the data source for our COVID-19 hospitalization data to a San Francisco specific dataset. These new data differ slightly from previous hospitalization data sources but the overall patterns and trends in hospitalizations remain consistent. You can access the previous data here.

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