100+ datasets found
  1. Rate of COVID-19 hospitalizations in the U.S. as of September 26, 2020, by...

    • statista.com
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    Statista, Rate of COVID-19 hospitalizations in the U.S. as of September 26, 2020, by age group [Dataset]. https://www.statista.com/statistics/1122354/covid-19-us-hospital-rate-by-age/
    Explore at:
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - Sep 26, 2020
    Area covered
    United States
    Description

    As of September 26, the hospitalization rate in the United States due to COVID-19 was highest for those aged 85 years and older. This statistic shows the cumulative rate of laboratory-confirmed COVID-19-associated hospitalizations in the U.S. as of September 26, 2020, by age group.

  2. 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.

  3. a

    COVID HOSPITALIZATIONS BY AGE

    • data-phl.opendata.arcgis.com
    Updated Sep 23, 2021
    + more versions
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    City of Philadelphia (2021). COVID HOSPITALIZATIONS BY AGE [Dataset]. https://data-phl.opendata.arcgis.com/datasets/phl::covid-hospitalizations-by-age
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    Dataset updated
    Sep 23, 2021
    Dataset authored and provided by
    City of Philadelphia
    Description

    View metadata for key information about this dataset.This data is for public consumption. To protect the confidentiality of residents, PDPH suppresses the exact data for any categories that have fewer than 6 counts (i.e. of tests or fatalities).As of May 2022, these datasets moved from daily updates to weekly updates.For greatest accuracy, please use the latest dataset for all analysis and reporting as opposed to any data you downloaded prior to September 29, 2020. All datasets now reflect counts from test collection dates instead of the previously displayed result dates. These changes will adjust, for example, the count of cases for each day. PDPH has also added 376 confirmed COVID-19 cases (positive tests) that were previously missing from the data.See also the following related datasets:COVID Hospitalizations by DateCOVID Hospitalizations by RaceCOVID Hospitalizations by SexCOVID Hospitalizations by WeekCOVID Hospitalizations by ZIP CodeFor questions about this dataset, contact publichealthinfo@phila.gov. For technical assistance, email maps@phila.gov.

  4. VDH-COVID-19-PublicUseDataset-Cases_By-Age-Group - RETIRED Dataset

    • data.virginia.gov
    • opendata.winchesterva.gov
    csv
    Updated Sep 10, 2025
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    Virginia Department of Health (2025). VDH-COVID-19-PublicUseDataset-Cases_By-Age-Group - RETIRED Dataset [Dataset]. https://data.virginia.gov/dataset/vdh-covid-19-publicusedataset-cases-by-age-group
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    csv(153067)Available download formats
    Dataset updated
    Sep 10, 2025
    Dataset authored and provided by
    Virginia Department of Health
    Description

    As of 09/24/24, this dataset is being retired and will no longer be updated.

    On 10/1/2021, VDH adjusted the Vaccine Age Group categories to better serve the response's needs. This resulted in a decrease in cases, hospitalizations, and deaths among the 16-17 Year age group and an addition of cases, hospitalizations, and deaths to the 18-24 Years age group.

    This dataset includes the cumulative (total) number of COVID-19 cases, hospitalizations, and deaths for each health district in Virginia by report date and by age group. This dataset was first published on March 29, 2020. The data set increases in size daily and as a result, the dataset may take longer to update; however, it is expected to be available by 12:00 noon. When you download the data set, the dates will be sorted in ascending order, meaning that the earliest date will be at the top. To see data for the most recent date, please scroll down to the bottom of the data set. The Virginia Department of Health’s Thomas Jefferson Health District (TJHD) will be renamed to Blue Ridge Health District (BRHD), effective January 2021. More information about this change can be found here: https://www.vdh.virginia.gov/blue-ridge/name-change/

  5. Weekly number of COVID-19 hospitalizations in the U.S., Mar 2020 - Feb 2022,...

    • statista.com
    Updated Feb 11, 2022
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    Statista (2022). Weekly number of COVID-19 hospitalizations in the U.S., Mar 2020 - Feb 2022, by age [Dataset]. https://www.statista.com/statistics/1254477/weekly-number-of-covid-19-hospitalizations-in-the-us-by-age/
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    Dataset updated
    Feb 11, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 7, 2020 - Feb 5, 2022
    Area covered
    United States
    Description

    The previous highest peak in the reported time interval of COVID-19 hospitalizations was the week ending January 9, 2021. A year later in the week ending January 8, 2022, a new peak was recorded. However, this time hospitalizations were more spread out in the age groups, with those under 65 years making up roughly 60 percent of total hospitalizations, compared to 50 percent back in January 2021. This statistic illustrates the weekly number of COVID-19 associated hospitalizations in the United States from the week ending March 7, 2020 to February 5, 2022, by age group.

  6. COVID-19 hospitalization rates in the U.S. from March 1 to 28, 2020, by age...

    • statista.com
    Updated Apr 20, 2020
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    Statista (2020). COVID-19 hospitalization rates in the U.S. from March 1 to 28, 2020, by age group [Dataset]. https://www.statista.com/statistics/1111368/covid-hospitalization-rates-age-us/
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    Dataset updated
    Apr 20, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 1, 2020 - Mar 28, 2020
    Area covered
    United States
    Description

    The COVID-19–associated hospitalization rate among patients aged 85 years and older identified through COVID-NET for the 4-week period ending March 28, 2020, was 17.2 per 100,000 population. This statistic shows laboratory-confirmed COVID-19 associated hospitalization rates per 100,000 population from March 1 to 28, in the 14 U.S. states under surveillance by COVID-NET.

  7. Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status

    • data.cdc.gov
    • data.virginia.gov
    • +2more
    csv, xlsx, xml
    Updated Feb 22, 2023
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    CDC COVID-19 Response, Epidemiology Task Force (2023). Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a
    Explore at:
    xlsx, xml, csvAvailable download formats
    Dataset updated
    Feb 22, 2023
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC COVID-19 Response, Epidemiology Task Force
    Description

    Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status. Click 'More' for important dataset description and footnotes

    Dataset and data visualization details: These data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022.

    Vaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. Additional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type. ** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group. Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis. Participating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases among people who received additional or booster doses were reported from 31 jurisdictions; 30 jurisdictions also reported data on deaths among people who received one or more additional or booster dose; 28 jurisdictions reported cases among people who received two or more additional or booster doses; and 26 jurisdictions reported deaths among people who received two or more additional or booster doses. This list will be updated as more jurisdictions participate. Incidence rate estimates: Weekly age-specific incidence rates by vaccination status were calculated as the number of cases or deaths divided by the number of people vaccinated with a primary series, overall or with/without a booster dose (cumulative) or unvaccinated (obtained by subtracting the cumulative number of people vaccinated with a primary series and partially vaccinated people from the 2019 U.S. intercensal population estimates) and multiplied by 100,000. Overall incidence rates were age-standardized using the 2000 U.S. Census standard population. To estimate population counts for ages 6 months through 1 year, half of the single-year population counts for ages 0 through 1 year were used. All rates are plotted by positive specimen collection date to reflect when incident infections occurred. For the primary series analysis, age-standardized rates include ages 12 years and older from April 4, 2021 through December 4, 2021, ages 5 years and older from December 5, 2021 through July 30, 2022 and ages 6 months and older from July 31, 2022 onwards. For the booster dose analysis, age-standardized rates include ages 18 years and older from September 19, 2021 through December 25, 2021, ages 12 years and older from December 26, 2021, and ages 5 years and older from June 5, 2022 onwards. Small numbers could contribute to less precision when calculating death rates among some groups. Continuity correction: A continuity correction has been applied to the denominators by capping the percent population coverage at 95%. To do this, we assumed that at least 5% of each age group would always be unvaccinated in each jurisdiction. Adding this correction ensures that there is always a reasonable denominator for the unvaccinated population that would prevent incidence and death rates from growing unrealistically large due to potential overestimates of vaccination coverage. Incidence rate ratios (IRRs): IRRs for the past one month were calculated by dividing the average weekly incidence rates among unvaccinated people by that among people vaccinated with a primary series either overall or with a booster dose. Publications: Scobie HM, Johnson AG, Suthar AB, et al. Monitoring Incidence of COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Status — 13 U.S. Jurisdictions, April 4–July 17, 2021. MMWR Morb Mortal Wkly Rep 2021;70:1284–1290. Johnson AG, Amin AB, Ali AR, et al. COVID-19 Incidence and Death Rates Among Unvaccinated and Fully Vaccinated Adults with and Without Booster Doses During Periods of Delta and Omicron Variant Emergence — 25 U.S. Jurisdictions, April 4–December 25, 2021. MMWR Morb Mortal Wkly Rep 2022;71:132–138. Johnson AG, Linde L, Ali AR, et al. COVID-19 Incidence and Mortality Among Unvaccinated and Vaccinated Persons Aged ≥12 Years by Receipt of Bivalent Booster Doses and Time Since Vaccination — 24 U.S. Jurisdictions, October 3, 2021–December 24, 2022. MMWR Morb Mortal Wkly Rep 2023;72:145–152. Johnson AG, Linde L, Payne AB, et al. Notes from the Field: Comparison of COVID-19 Mortality Rates Among Adults Aged ≥65 Years Who Were Unvaccinated and Those Who Received a Bivalent Booster Dose Within the Preceding 6 Months — 20 U.S. Jurisdictions, September 18, 2022–April 1, 2023. MMWR Morb Mortal Wkly Rep 2023;72:667–669.

  8. S

    COVID-19 Hospitalizations by Age in Henderson

    • splitgraph.com
    Updated Jan 3, 2023
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    SNHD (2023). COVID-19 Hospitalizations by Age in Henderson [Dataset]. https://www.splitgraph.com/performance-cityofhenderson/covid19-hospitalizations-by-age-in-henderson-8bsb-ubgg/
    Explore at:
    json, application/openapi+json, application/vnd.splitgraph.imageAvailable download formats
    Dataset updated
    Jan 3, 2023
    Dataset authored and provided by
    SNHD
    Area covered
    Henderson
    Description

    COVID-19 Hospitalizations by Age

    Splitgraph serves as an HTTP API that lets you run SQL queries directly on this data to power Web applications. For example:

    See the Splitgraph documentation for more information.

  9. Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and...

    • data.cdc.gov
    • healthdata.gov
    • +1more
    csv, xlsx, xml
    Updated Feb 22, 2023
    + more versions
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    CDC COVID-19 Response, Epidemiology Task Force (2023). Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and Second Booster Dose [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/ukww-au2k
    Explore at:
    xlsx, xml, csvAvailable download formats
    Dataset updated
    Feb 22, 2023
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC COVID-19 Response, Epidemiology Task Force
    Description

    Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Vaccination Status. Click 'More' for important dataset description and footnotes

    Dataset and data visualization details: These data were posted on October 21, 2022, archived on November 18, 2022, and revised on February 22, 2023. These data reflect cases among persons with a positive specimen collection date through September 24, 2022, and deaths among persons with a positive specimen collection date through September 3, 2022.

    Vaccination status: A person vaccinated with a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. Additional or booster dose: A person vaccinated with a primary series and an additional or booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after receipt of an additional or booster dose of any COVID-19 vaccine on or after August 13, 2021. For people ages 18 years and older, data are graphed starting the week including September 24, 2021, when a COVID-19 booster dose was first recommended by CDC for adults 65+ years old and people in certain populations and high risk occupational and institutional settings. For people ages 12-17 years, data are graphed starting the week of December 26, 2021, 2 weeks after the first recommendation for a booster dose for adolescents ages 16-17 years. For people ages 5-11 years, data are included starting the week of June 5, 2022, 2 weeks after the first recommendation for a booster dose for children aged 5-11 years. For people ages 50 years and older, data on second booster doses are graphed starting the week including March 29, 2022, when the recommendation was made for second boosters. Vertical lines represent dates when changes occurred in U.S. policy for COVID-19 vaccination (details provided above). Reporting is by primary series vaccine type rather than additional or booster dose vaccine type. The booster dose vaccine type may be different than the primary series vaccine type. ** Because data on the immune status of cases and associated deaths are unavailable, an additional dose in an immunocompromised person cannot be distinguished from a booster dose. This is a relevant consideration because vaccines can be less effective in this group. Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Rates of COVID-19 deaths by vaccination status are reported based on when the patient was tested for COVID-19, not the date they died. Deaths usually occur up to 30 days after COVID-19 diagnosis. Participating jurisdictions: Currently, these 31 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Arkansas, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (New York), North Carolina, Philadelphia (Pennsylvania), Rhode Island, South Dakota, Tennessee, Texas, Utah, Washington, and West Virginia; 30 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 72% of the total U.S. population and all ten of the Health and Human Services Regions. Data on cases among people who received additional or booster doses were reported from 31 jurisdictions; 30 jurisdictions also reported data on deaths among people who received one or more additional or booster dose; 28 jurisdictions reported cases among people who received two or more additional or booster doses; and 26 jurisdictions reported deaths among people who received two or more additional or booster doses. This list will be updated as more jurisdictions participate. Incidence rate estimates: Weekly age-specific incidence rates by vaccination status were calculated as the number of cases or deaths divided by the number of people vaccinated with a primary series, overall or with/without a booster dose (cumulative) or unvaccinated (obtained by subtracting the cumulative number of people vaccinated with a primary series and partially vaccinated people from the 2019 U.S. intercensal population estimates) and multiplied by 100,000. Overall incidence rates were age-standardized using the 2000 U.S. Census standard population. To estimate population counts for ages 6 months through 1 year, half of the single-year population counts for ages 0 through 1 year were used. All rates are plotted by positive specimen collection date to reflect when incident infections occurred. For the primary series analysis, age-standardized rates include ages 12 years and older from April 4, 2021 through December 4, 2021, ages 5 years and older from December 5, 2021 through July 30, 2022 and ages 6 months and older from July 31, 2022 onwards. For the booster dose analysis, age-standardized rates include ages 18 years and older from September 19, 2021 through December 25, 2021, ages 12 years and older from December 26, 2021, and ages 5 years and older from June 5, 2022 onwards. Small numbers could contribute to less precision when calculating death rates among some groups. Continuity correction: A continuity correction has been applied to the denominators by capping the percent population coverage at 95%. To do this, we assumed that at least 5% of each age group would always be unvaccinated in each jurisdiction. Adding this correction ensures that there is always a reasonable denominator for the unvaccinated population that would prevent incidence and death rates from growing unrealistically large due to potential overestimates of vaccination coverage. Incidence rate ratios (IRRs): IRRs for the past one month were calculated by dividing the average weekly incidence rates among unvaccinated people by that among people vaccinated with a primary series either overall or with a booster dose. Publications: Scobie HM, Johnson AG, Suthar AB, et al. Monitoring Incidence of COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Status — 13 U.S. Jurisdictions, April 4–July 17, 2021. MMWR Morb Mortal Wkly Rep 2021;70:1284–1290. Johnson AG, Amin AB, Ali AR, et al. COVID-19 Incidence and Death Rates Among Unvaccinated and Fully Vaccinated Adults with and Without Booster Doses During Periods of Delta and Omicron Variant Emergence — 25 U.S. Jurisdictions, April 4–December 25, 2021. MMWR Morb Mortal Wkly Rep 2022;71:132–138

  10. M

    Rates of COVID-19 - Associated Hospitalizations

    • catalog.midasnetwork.us
    csv
    Updated Sep 1, 2025
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    Centers for Disease Control and Prevention (CDC) (2025). Rates of COVID-19 - Associated Hospitalizations [Dataset]. https://catalog.midasnetwork.us/collection/162
    Explore at:
    csvAvailable download formats
    Dataset updated
    Sep 1, 2025
    Dataset provided by
    MIDAS COORDINATION CENTER
    Authors
    Centers for Disease Control and Prevention (CDC)
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Area covered
    State, Country
    Variables measured
    Viruses, disease, COVID-19, pathogen, Homo sapiens, host organism, age-stratified, Population count, infectious disease, hospital stay dataset, and 5 more
    Dataset funded by
    National Institute of General Medical Sciences
    Description

    Data gathered by the Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET) are used to estimate age-specific hospitalization rates per 100,000 population of laboratory confirmed COVID-19 hospitalizations on a weekly basis and describe characteristics of persons hospitalized with COVID-19. Laboratory confirmation is dependent on clinician-ordered SARS-CoV-2 testing.

  11. C

    COVID-19 Cumulative Demographics (archived)

    • data.marincounty.gov
    csv, xlsx, xml
    Updated Feb 17, 2023
    + more versions
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    (2023). COVID-19 Cumulative Demographics (archived) [Dataset]. https://data.marincounty.gov/Public-Health/COVID-19-Cumulative-Demographics-archived-/uu8g-ckxh
    Explore at:
    xlsx, xml, csvAvailable download formats
    Dataset updated
    Feb 17, 2023
    Description

    This dataset has been retired as of February 17, 2023. This dataset will be kept for historical purposes, but will no longer be updated. Similar data are available on the state’s open data portal: https://data.chhs.ca.gov/dataset/covid-19-time-series-metrics-by-county-and-state.

    Provides the proportion of COVID-19 Cases, Hospitalizations, and Deaths by Age, Gender, and Race/Ethnicity categories.

    Note: Between 1/1/2022 and 3/4/2022 hospitalization counts did not include in-patient hospitalizations with a COVID-19 positive test when the patient was in the hospital for a reason other than COVID-19. This included in-patient stays due to labor/delivery, trauma, or emergency surgery. Hospitalization reporting was modified to represent the disease severity of the Omicron variant accurately. As of 3/5/2022, we have resumed publishing the CDPH daily hospitalized patient census, which includes all in-patient hospitalizations with a COVID-19 positive test.

  12. COVID-NET Hospitalization Rates

    • kaggle.com
    zip
    Updated Apr 10, 2020
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    Karl Weinmeister (2020). COVID-NET Hospitalization Rates [Dataset]. https://www.kaggle.com/kweinmeister/covidnet-hospitalization-rates
    Explore at:
    zip(12845 bytes)Available download formats
    Dataset updated
    Apr 10, 2020
    Authors
    Karl Weinmeister
    License

    https://www.usa.gov/government-works/https://www.usa.gov/government-works/

    Description

    Content

    The Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET) data are preliminary and subject to change as more data become available. COVID-NET conducts population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations in children (less than 18 years of age) and adults.

    COVID-NET covers nearly 100 counties in the 10 Emerging Infections Program (EIP) states (CA, CO, CT, GA, MD, MN, NM, NY, OR, TN) and four Influenza Hospitalization Surveillance Project (IHSP) states (IA, MI, OH, and UT).

    Incidence rates (per 100,000 population) are calculated using the National Center for Health Statistics' (NCHS) vintage 2018 bridged-race postcensal population estimates for the counties included in the surveillance catchment area. The rates provided are likely to be underestimated as COVID-19 hospitalizations might be missed due to test availability and provider or facility testing practices.

    Acknowledgements

    COVID-NET: COVID-19-Associated Hospitalization Surveillance Network, Centers for Disease Control and Prevention. WEBSITE. Accessed on 04/09/2020.

  13. Hospitalizations due to the coronavirus (COVID-19) in Switzerland in 2023,...

    • statista.com
    Updated Jan 13, 2025
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    Statista (2025). Hospitalizations due to the coronavirus (COVID-19) in Switzerland in 2023, by age [Dataset]. https://www.statista.com/statistics/1110045/coronavirus-covid-19-hospitalizations-number-age-group-switzerland/
    Explore at:
    Dataset updated
    Jan 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2023
    Area covered
    Switzerland
    Description

    Switzerland is battling the coronavirus (COVID-19) outbreak. As of January 2023, patients aged 80 years and older have been hospitalized most often due to being infected with the virus, followed by the 70-79 age group.

  14. f

    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
    figshare
    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.

  15. Case-fatality rates and characteristics of countrywide population...

    • plos.figshare.com
    • figshare.com
    xls
    Updated Jun 13, 2023
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    Marc Souris; Jean-Paul Gonzalez (2023). Case-fatality rates and characteristics of countrywide population vulnerability to COVID-19. [Dataset]. http://doi.org/10.1371/journal.pone.0243606.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Marc Souris; Jean-Paul Gonzalez
    License

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

    Description

    Case-fatality rates and characteristics of countrywide population vulnerability to COVID-19.

  16. San Francisco COVID-19 Data

    • kaggle.com
    zip
    Updated Jun 7, 2020
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    Paul Mooney (2020). San Francisco COVID-19 Data [Dataset]. https://www.kaggle.com/paultimothymooney/san-francisco-covid19-data
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    zip(4883 bytes)Available download formats
    Dataset updated
    Jun 7, 2020
    Authors
    Paul Mooney
    Area covered
    San Francisco
    Description

    Context

    COVID-19 data for San Francisco from data.sfgov.org

    Content

    COVID-19 Hospitalizations

    COVID-19 Cases Summarized by Date, Transmission and Case Disposition

    COVID-19 Cases Summarized by Race and Ethnicity

    COVID-19 Cases Summarized by Age Group and Gender

    COVID-19 Tests

    Acknowledgements

    Data from https://data.sfgov.org/analytics and https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Age-Group-and-Gender/sunc-2t3k and https://data.sfgov.org/COVID-19/COVID-19-Tests/nfpa-mg4g and https://data.sfgov.org/COVID-19/COVID-19-Hospitalizations/nxjg-bhem and https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Date-Transmission-and/tvq9-ec9w and https://data.sfgov.org/COVID-19/COVID-19-Cases-Summarized-by-Race-and-Ethnicity/vqqm-nsqg

    Dataset license: https://datasf.org/opendata/terms-of-use/

    Banner Photo by Maarten van den Heuvel on Unsplash

  17. Rates of COVID-19 Cases or Deaths by Age Group and Updated (Bivalent)...

    • data.cdc.gov
    • healthdata.gov
    • +1more
    csv, xlsx, xml
    Updated May 30, 2023
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    CDC COVID-19 Response, Epidemiology Task Force (2023). Rates of COVID-19 Cases or Deaths by Age Group and Updated (Bivalent) Booster Status [Dataset]. https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/54ys-qyzm
    Explore at:
    xlsx, csv, xmlAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    Authors
    CDC COVID-19 Response, Epidemiology Task Force
    Description

    Data for CDC’s COVID Data Tracker site on Rates of COVID-19 Cases and Deaths by Updated (Bivalent) Booster Status. Click 'More' for important dataset description and footnotes

    Webpage: https://covid.cdc.gov/covid-data-tracker/#rates-by-vaccine-status

    Dataset and data visualization details:

    These data were posted and archived on May 30, 2023 and reflect cases among persons with a positive specimen collection date through April 22, 2023, and deaths among persons with a positive specimen collection date through April 1, 2023. These data will no longer be updated after May 2023.

    Vaccination status: A person vaccinated with at least a primary series had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably completing the primary series of an FDA-authorized or approved COVID-19 vaccine. An unvaccinated person had SARS-CoV-2 RNA or antigen detected on a respiratory specimen and has not been verified to have received COVID-19 vaccine. Excluded were partially vaccinated people who received at least one FDA-authorized vaccine dose but did not complete a primary series ≥14 days before collection of a specimen where SARS-CoV-2 RNA or antigen was detected. A person vaccinated with a primary series and a monovalent booster dose had SARS-CoV-2 RNA or antigen detected on a respiratory specimen collected ≥14 days after verifiably receiving a primary series of an FDA-authorized or approved vaccine and at least one additional dose of any monovalent FDA-authorized or approved COVID-19 vaccine on or after August 13, 2021. (Note: this definition does not distinguish between vaccine recipients who are immunocompromised and are receiving an additional dose versus those who are not immunocompromised and receiving a booster dose.) A person vaccinated with a primary series and an updated (bivalent) booster dose had SARS-CoV-2 RNA or antigen detected in a respiratory specimen collected ≥14 days after verifiably receiving a primary series of an FDA-authorized or approved vaccine and an additional dose of any bivalent FDA-authorized or approved vaccine COVID-19 vaccine on or after September 1, 2022. (Note: Doses with bivalent doses reported as first or second doses are classified as vaccinated with a bivalent booster dose.) People with primary series or a monovalent booster dose were combined in the “vaccinated without an updated booster” category.

    Deaths: A COVID-19–associated death occurred in a person with a documented COVID-19 diagnosis who died; health department staff reviewed to make a determination using vital records, public health investigation, or other data sources. Per the interim guidance of the Council of State and Territorial Epidemiologists (CSTE), this should include persons whose death certificate lists COVID-19 disease or SARS-CoV-2 as the underlying cause of death or as a significant condition contributing to death. Rates of COVID-19 deaths by vaccination status are primarily reported based on when the patient was tested for COVID-19. In select jurisdictions, deaths are included that are not laboratory confirmed and are reported based on alternative dates (i.e., onset date for most; or date of death or report date, where onset date is unavailable). Deaths usually occur up to 30 days after COVID-19 diagnosis.

    Participating jurisdictions: Currently, these 24 health departments that regularly link their case surveillance to immunization information system data are included in these incidence rate estimates: Alabama, Arizona, Colorado, District of Columbia, Georgia, Idaho, Indiana, Kansas, Kentucky, Louisiana, Massachusetts, Michigan, Minnesota, Nebraska, New Jersey, New Mexico, New York, New York City (NY), North Carolina, Rhode Island, Tennessee, Texas, Utah, and West Virginia; 23 jurisdictions also report deaths among vaccinated and unvaccinated people. These jurisdictions represent 48% of the total U.S. population and all ten of the Health and Human Services Regions. This list will be updated as more jurisdictions participate.

    Incidence rate estimates: Weekly age-specific incidence rates by vaccination status were calculated as the number of cases or deaths divided by the number of people vaccinated with a primary series, overall or with/without a booster dose (cumulative) or unvaccinated (obtained by subtracting the cumulative number of people vaccinated with at least a primary series and partially vaccinated people from the 2019 U.S. intercensal population estimates) and multiplied by 100,000. Overall incidence rates were age-standardized using the 2000 U.S. Census standard population. To estimate population counts for ages 6-12 months, half of the single-year population counts for ages <12 months were used. All rates are plotted by positive specimen collection date to reflect when incident infections occurred.

    Continuity correction: A continuity correction has been applied to the denominators by capping the percent population coverage at 95%. To do this, we assumed that at least 5% of each age group would always be unvaccinated in each jurisdiction. Adding this correction ensures that there is always a reasonable denominator for the unvaccinated population that would prevent incidence and death rates from growing unrealistically large due to potential overestimates of vaccination coverage.

    Incidence rate ratios (IRRs): IRRs for the past one month were calculated by dividing the average weekly incidence rates among unvaccinated people by that among people vaccinated without an updated (bivalent) booster dose) or vaccinated with an updated (bivalent) booster dose.

    Archive: An archive of historic data, including April 3, 2021-September 24, 2022 and posted on October 21, 2022 is available on data.cdc.gov. The analysis by vaccination status (unvaccinated and at least a primary series) for 31 jurisdictions is posted here: https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/3rge-nu2a. The analysis for one booster dose (unvaccinated, primary series only, and at least one booster dose) in 31 jurisdictions is posted here: https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/d6p8-wqjm. The analysis for two booster doses (unvaccinated, primary series only, one booster dose, and at least two booster doses) in 28 jurisdictions is posted here: https://data.cdc.gov/Public-Health-Surveillance/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/ukww-au2k.

    References

    Scobie HM, Johnson AG, Suthar AB, et al. Monitoring Incidence of COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Status — 13 U.S. Jurisdictions, April 4–July 17, 2021. MMWR Morb Mortal Wkly Rep 2021;70:1284–1290.

    Johnson AG, Amin AB, Ali AR, et al. COVID-19 Incidence and Death Rates Among Unvaccinated and Fully Vaccinated Adults with and Without Booster Doses During Periods of Delta and Omicron Variant Emergence — 25 U.S. Jurisdictions, April 4–December 25, 2021. MMWR Morb Mortal Wkly Rep 2022;71:132–138

    Johnson AG, Linde L, Ali AR, et al. COVID-19 Incidence and Mortality Among Unvaccinated and Vaccinated Persons Aged ≥12 Years by Receipt of Bivalent Booster Doses and Time Since Vaccination — 24 U.S. Jurisdictions, October 3, 2021–December 24, 2022. MMWR Morb Mortal Wkly Rep 2023;72:145–152

  18. f

    Data from: COVID-19 pandemic: hospitalization use variation in the g100...

    • scielo.figshare.com
    • datasetcatalog.nlm.nih.gov
    tiff
    Updated May 30, 2023
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    Carolina de Campos Carvalho; Mônica Martins; Francisco Viacava; Caio de Paula Peixoto; Anselmo Rocha Romão; Ricardo Antunes Dantas de Oliveira (2023). COVID-19 pandemic: hospitalization use variation in the g100 municipalities [Dataset]. http://doi.org/10.6084/m9.figshare.22730283.v1
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    tiffAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    SciELO journals
    Authors
    Carolina de Campos Carvalho; Mônica Martins; Francisco Viacava; Caio de Paula Peixoto; Anselmo Rocha Romão; Ricardo Antunes Dantas de Oliveira
    License

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

    Description

    ABSTRACT This study aims to comparatively analyze the volume and flows for hospital admissions before and during the first year of the COVID-19 pandemic in 112 g100 municipalities, which are characterized by having more than 80,000 inhabitants, low income, and high socioeconomic vulnerability. Data from the SUS Hospital Information System regarding hospitalizations of adults (age ≥ 18 years) in the period 2017-2020. Hospitalizations were classified according to type of admission or specialty of treatment in the following categories: elective, urgency/emergency, clinical, surgical, obstetric, and oncological treatment. Elective hospitalizations showed a greater reduction in volume in 2020 compared to the previous year, probably due to the measures adopted to minimize the risks of contagion and prioritization of care to severe patients by COVID-19. Considering the place of hospitalization, no significant changes were observed in relation to the referral of residents of g100 municipalities to other municipalities. However, there was differentiation between localities in which regionalization in health works in a more appropriate way, and others where there is a scarcity of resources or need for more effective planning and management.

  19. f

    Table1_Clinical outcomes of COVID-19 and influenza in hospitalized children...

    • datasetcatalog.nlm.nih.gov
    Updated Sep 11, 2023
    + more versions
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    Khan, Farid; Di Fusco, Manuela; McGrath, Leah J.; Lopez, Santiago M. C.; Cane, Alejandro; Reimbaeva, Maya; Welch, Verna L.; Malhotra, Deepa; Alfred, Tamuno; Moran, Mary M. (2023). Table1_Clinical outcomes of COVID-19 and influenza in hospitalized children <5 years in the US.pdf [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001012872
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    Dataset updated
    Sep 11, 2023
    Authors
    Khan, Farid; Di Fusco, Manuela; McGrath, Leah J.; Lopez, Santiago M. C.; Cane, Alejandro; Reimbaeva, Maya; Welch, Verna L.; Malhotra, Deepa; Alfred, Tamuno; Moran, Mary M.
    Area covered
    United States
    Description

    IntroductionWe compared hospitalization outcomes of young children hospitalized with COVID-19 to those hospitalized with influenza in the United States.MethodsPatients aged 0-<5 years hospitalized with an admission diagnosis of acute COVID-19 (April 2021-March 2022) or influenza (April 2019-March 2020) were selected from the PINC AI Healthcare Database Special Release. Hospitalization outcomes included length of stay (LOS), intensive care unit (ICU) admission, oxygen supplementation, and mechanical ventilation (MV). Inverse probability of treatment weighting was used to adjust for confounders in logistic regression analyses.ResultsAmong children hospitalized with COVID-19 (n = 4,839; median age: 0 years), 21.3% had an ICU admission, 19.6% received oxygen supplementation, 7.9% received MV support, and 0.5% died. Among children hospitalized with influenza (n = 4,349; median age: 1 year), 17.4% were admitted to the ICU, 26.7% received oxygen supplementation, 7.6% received MV support, and 0.3% died. Compared to children hospitalized with influenza, those with COVID-19 were more likely to have an ICU admission (adjusted odds ratio [aOR]: 1.34; 95% confidence interval [CI]: 1.21–1.48). However, children with COVID-19 were less likely to receive oxygen supplementation (aOR: 0.71; 95% CI: 0.64–0.78), have a prolonged LOS (aOR: 0.81; 95% CI: 0.75–0.88), or a prolonged ICU stay (aOR: 0.56; 95% CI: 0.46–0.68). The likelihood of receiving MV was similar (aOR: 0.94; 95% CI: 0.81, 1.1).ConclusionsHospitalized children with either SARS-CoV-2 or influenza had severe complications including ICU admission and oxygen supplementation. Nearly 10% received MV support. Both SARS-CoV-2 and influenza have the potential to cause severe illness in young children.

  20. d

    COVID Cumulative Historical Snapshots

    • catalog.data.gov
    • s.cnmilf.com
    • +1more
    Updated Mar 31, 2025
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    Ambient Point (2025). COVID Cumulative Historical Snapshots [Dataset]. https://catalog.data.gov/dataset/covid-cumulative-historical-snapshots
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    Dataset updated
    Mar 31, 2025
    Dataset provided by
    Ambient Point
    Description

    The City of Philadelphia's datasets are snapshots published on a daily basis. These data sets include de-identified, aggregate datasets showing COVID-19 cases, hospitalizations, and deaths by date, zip code, race, and age/sex and are made available accumulated into historical data sets of the daily snapshots collected. The cases and deaths by date, zip code, and age/sex are accumulated since 6/4/2020. Cases and death by race and hospitalizations are accumulated since 8/15/2020. Data is collected from the City's data published at https://www.opendataphilly.org/showcase/philadelphia-covid-19-information through a daily scrape of the web site.

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Statista, Rate of COVID-19 hospitalizations in the U.S. as of September 26, 2020, by age group [Dataset]. https://www.statista.com/statistics/1122354/covid-19-us-hospital-rate-by-age/
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Rate of COVID-19 hospitalizations in the U.S. as of September 26, 2020, by age group

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4 scholarly articles cite this dataset (View in Google Scholar)
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Mar 1, 2020 - Sep 26, 2020
Area covered
United States
Description

As of September 26, the hospitalization rate in the United States due to COVID-19 was highest for those aged 85 years and older. This statistic shows the cumulative rate of laboratory-confirmed COVID-19-associated hospitalizations in the U.S. as of September 26, 2020, by age group.

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