100+ datasets found
  1. Deaths Involving COVID-19 by Vaccination Status

    • open.canada.ca
    • gimi9.com
    • +1more
    csv, docx, html, xlsx
    Updated Nov 12, 2025
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    Government of Ontario (2025). Deaths Involving COVID-19 by Vaccination Status [Dataset]. https://open.canada.ca/data/dataset/1375bb00-6454-4d3e-a723-4ae9e849d655
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    docx, csv, html, xlsxAvailable download formats
    Dataset updated
    Nov 12, 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
    Mar 1, 2021 - Nov 12, 2024
    Description

    This dataset reports the daily reported number of the 7-day moving average rates of Deaths involving COVID-19 by vaccination status and by age group. Learn how the Government of Ontario is helping to keep Ontarians safe during the 2019 Novel Coronavirus outbreak. 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 Data includes: * Date on which the death occurred * Age group * 7-day moving average of the last seven days of the death rate per 100,000 for those not fully vaccinated * 7-day moving average of the last seven days of the death rate per 100,000 for those fully vaccinated * 7-day moving average of the last seven days of the death rate per 100,000 for those vaccinated with at least one booster ##Additional notes As of June 16, all COVID-19 datasets will be updated weekly on Thursdays by 2pm. As of January 12, 2024, data from the date of January 1, 2024 onwards reflect updated population estimates. This update specifically impacts data for the 'not fully vaccinated' category. On November 30, 2023 the count of COVID-19 deaths was updated to include missing historical deaths from January 15, 2020 to March 31, 2023. CCM is a dynamic disease reporting system which allows ongoing update to data previously entered. As a result, data extracted from CCM represents a snapshot at the time of extraction and may differ from previous or subsequent results. Public Health Units continually clean up COVID-19 data, correcting for missing or overcounted cases and deaths. These corrections can result in data spikes and current totals being different from previously reported cases and deaths. Observed trends over time should be interpreted with caution for the most recent period due to reporting and/or data entry lags. The data does not include vaccination data for people who did not provide consent for vaccination records to be entered into the provincial COVaxON system. This includes individual records as well as records from some Indigenous communities where those communities have not consented to including vaccination information in COVaxON. “Not fully vaccinated” category includes people with no vaccine and one dose of double-dose vaccine. “People with one dose of double-dose vaccine” category has a small and constantly changing number. The combination will stabilize the results. Spikes, negative numbers and other data anomalies: Due to ongoing data entry and data quality assurance activities in Case and Contact Management system (CCM) file, Public Health Units continually clean up COVID-19, correcting for missing or overcounted cases and deaths. These corrections can result in data spikes, negative numbers and current totals being different from previously reported case and death counts. Public Health Units report cause of death in the CCM based on information available to them at the time of reporting and in accordance with definitions provided by Public Health Ontario. The medical certificate of death is the official record and the cause of death could be different. Deaths are defined per the outcome field in CCM marked as “Fatal”. Deaths in COVID-19 cases identified as unrelated to COVID-19 are not included in the Deaths involving COVID-19 reported. Rates for the most recent days are subject to reporting lags All data reflects totals from 8 p.m. the previous day. This dataset is subject to change.

  2. Deaths by vaccination status, England

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Aug 25, 2023
    + more versions
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    Office for National Statistics (2023). Deaths by vaccination status, England [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/deathsbyvaccinationstatusengland
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    xlsxAvailable download formats
    Dataset updated
    Aug 25, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Age-standardised mortality rates for deaths involving coronavirus (COVID-19), non-COVID-19 deaths and all deaths by vaccination status, broken down by age group.

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

    • data.virginia.gov
    • healthdata.gov
    • +1more
    csv, json, rdf, xsl
    Updated Jul 20, 2023
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    Centers for Disease Control and Prevention (2023). Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status [Dataset]. https://data.virginia.gov/dataset/rates-of-covid-19-cases-or-deaths-by-age-group-and-vaccination-status
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    xsl, csv, rdf, jsonAvailable download formats
    Dataset updated
    Jul 20, 2023
    Dataset provided by
    Centers for Disease Control and Preventionhttp://www.cdc.gov/
    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

  4. COVID-19 Post-Vaccination Infection Data (ARCHIVED)

    • data.chhs.ca.gov
    • data.ca.gov
    • +4more
    csv, xlsx, zip
    Updated Nov 7, 2025
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    California Department of Public Health (2025). COVID-19 Post-Vaccination Infection Data (ARCHIVED) [Dataset]. https://data.chhs.ca.gov/dataset/covid-19-post-vaccination-infection-data
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    csv(38212), zip, csv(90508), csv(78921), xlsx(11056)Available download formats
    Dataset updated
    Nov 7, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    Note: This dataset is no longer being updated due to the end of the COVID-19 Public Health Emergency.

    The California Department of Public Health (CDPH) is identifying vaccination status of COVID-19 cases, hospitalizations, and deaths by analyzing the state immunization registry and registry of confirmed COVID-19 cases. Post-vaccination cases are individuals who have a positive SARS-Cov-2 molecular test (e.g. PCR) at least 14 days after they have completed their primary vaccination series.

    Tracking cases of COVID-19 that occur after vaccination is important for monitoring the impact of immunization campaigns. While COVID-19 vaccines are safe and effective, some cases are still expected in persons who have been vaccinated, as no vaccine is 100% effective. For more information, please see https://www.cdph.ca.gov/Programs/CID/DCDC/Pages/COVID-19/Post-Vaccine-COVID19-Cases.aspx

    Post-vaccination infection data is updated monthly and includes data on cases, hospitalizations, and deaths among the unvaccinated and the vaccinated. Partially vaccinated individuals are excluded. To account for reporting and processing delays, there is at least a one-month lag in provided data (for example data published on 9/9/22 will include data through 7/31/22).

    Notes:

    • On September 9, 2022, the post-vaccination data has been changed to compare unvaccinated with those with at least a primary series completed for persons age 5+. These data will be updated monthly (first Thursday of the month) and include at least a one month lag.

    • On February 2, 2022, the post-vaccination data has been changed to distinguish between vaccination with a primary series only versus vaccinated and boosted. The previous dataset has been uploaded as an archived table. Additionally, the lag on this data has been extended to 14 days.

    • On November 29, 2021, the denominator for calculating vaccine coverage has been changed from age 16+ to age 12+ to reflect new vaccine eligibility criteria. The previous dataset based on age 16+ denominators has been uploaded as an archived table.

  5. Rate of vaccine-preventable COVID-19 deaths in the U.S. by state 2021-2022

    • statista.com
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    Statista, Rate of vaccine-preventable COVID-19 deaths in the U.S. by state 2021-2022 [Dataset]. https://www.statista.com/statistics/1309171/covid-vaccine-preventable-death-rate-us-by-state/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2021 - Apr 30, 2022
    Area covered
    United States
    Description

    Between January 1, 2021 and April 30, 2022 the death rate due to COVID-19 in the United States was about 2,487 per one million population. An analysis published in May 2022 found that if 100 percent of the population in the United States had been vaccinated at this time then the death rate over this period would have been around 1,237 per one million population. It was estimated that a 100 percent vaccination rate could have prevented 318,981 of 641,305 total deaths reported over this period. As of May 2022, around 66 percent of the U.S. population had been fully vaccinated against COVID-19. This table shows the actual death rate due to COVID-19 in the United States between January 2021 and April 2022 compared to the death rate if 100 percent of the population had been vaccinated.

  6. COVID-19 deaths in England as of May 2022 by vaccination status and age

    • statista.com
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    Statista, COVID-19 deaths in England as of May 2022 by vaccination status and age [Dataset]. https://www.statista.com/statistics/1284049/covid-19-deaths-by-vaccination-status-in-england/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 1, 2021 - May 31, 2022
    Area covered
    England
    Description

    Between January 1, 2021 and May 31, 2022, there were approximately 30.6 thousand deaths involving COVID-19 among 80 to 89 year olds in England, with over 14 thousand deaths occurring among unvaccinated people in this age group. Across all the age groups in the provided time interval, deaths involving COVID-19 among the unvaccinated population was around double the amount of people who received at least two doses of a vaccine. For further information about the COVID-19 pandemic, please visit our dedicated Facts and Figures page.

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

    • healthdata.gov
    • odgavaprod.ogopendata.com
    • +1more
    csv, xlsx, xml
    Updated Jun 16, 2023
    + more versions
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    data.cdc.gov (2023). Rates of COVID-19 Cases or Deaths by Age Group and Vaccination Status and Second Booster Dose [Dataset]. https://healthdata.gov/CDC/Rates-of-COVID-19-Cases-or-Deaths-by-Age-Group-and/4tut-jeki
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    xlsx, csv, xmlAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    data.cdc.gov
    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

  8. d

    COVID-19 Outcomes by Vaccination Status - Historical

    • catalog.data.gov
    • data.cityofchicago.org
    • +2more
    Updated May 24, 2024
    + more versions
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    data.cityofchicago.org (2024). COVID-19 Outcomes by Vaccination Status - Historical [Dataset]. https://catalog.data.gov/dataset/covid-19-outcomes-by-vaccination-status
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    Dataset updated
    May 24, 2024
    Dataset provided by
    data.cityofchicago.org
    Description

    NOTE: This dataset has been retired and marked as historical-only. Weekly rates of COVID-19 cases, hospitalizations, and deaths among people living in Chicago by vaccination status and age. Rates for fully vaccinated and unvaccinated begin the week ending April 3, 2021 when COVID-19 vaccines became widely available in Chicago. Rates for boosted begin the week ending October 23, 2021 after booster shots were recommended by the Centers for Disease Control and Prevention (CDC) for adults 65+ years old and adults in certain populations and high risk occupational and institutional settings who received Pfizer or Moderna for their primary series or anyone who received the Johnson & Johnson vaccine. Chicago residency is based on home address, as reported in the Illinois Comprehensive Automated Immunization Registry Exchange (I-CARE) and Illinois National Electronic Disease Surveillance System (I-NEDSS). Outcomes: • Cases: People with a positive molecular (PCR) or antigen COVID-19 test result from an FDA-authorized COVID-19 test that was reported into I-NEDSS. A person can become re-infected with SARS-CoV-2 over time and so may be counted more than once in this dataset. Cases are counted by week the test specimen was collected. • Hospitalizations: COVID-19 cases who are hospitalized due to a documented COVID-19 related illness or who are admitted for any reason within 14 days of a positive SARS-CoV-2 test. Hospitalizations are counted by week of hospital admission. • Deaths: COVID-19 cases who died from COVID-19-related health complications as determined by vital records or a public health investigation. Deaths are counted by week of death. Vaccination status: • Fully vaccinated: Completion of primary series of a U.S. Food and Drug Administration (FDA)-authorized or approved COVID-19 vaccine at least 14 days prior to a positive test (with no other positive tests in the previous 45 days). • Boosted: Fully vaccinated with an additional or booster dose of any FDA-authorized or approved COVID-19 vaccine received at least 14 days prior to a positive test (with no other positive tests in the previous 45 days). • Unvaccinated: No evidence of having received a dose of an FDA-authorized or approved vaccine prior to a positive test. CLARIFYING NOTE: Those who started but did not complete all recommended doses of an FDA-authorized or approved vaccine prior to a positive test (i.e., partially vaccinated) are excluded from this dataset. Incidence rates for fully vaccinated but not boosted people (Vaccinated columns) are calculated as total fully vaccinated but not boosted with outcome divided by cumulative fully vaccinated but not boosted at the end of each week. Incidence rates for boosted (Boosted columns) are calculated as total boosted with outcome divided by cumulative boosted at the end of each week. Incidence rates for unvaccinated (Unvaccinated columns) are calculated as total unvaccinated with outcome divided by total population minus cumulative boosted, fully, and partially vaccinated at the end of each week. All rates are multiplied by 100,000. Incidence rate ratios (IRRs) are calculated by dividing the weekly incidence rates among unvaccinated people by those among fully vaccinated but not boosted and boosted people. Overall age-adjusted incidence rates and IRRs are standardized using the 2000 U.S. Census standard population. Population totals are from U.S. Census Bureau American Community Survey 1-year estimates for 2019. All data are provisional and subject to change. Information is updated as additional details are received and it is, in fact, very common for recent dates to be incomplete and to be updated as time goes on. This dataset reflects data known to CDPH at the time when the dataset is updated each week. Numbers in this dataset may differ from other public sources due to when data are reported and how City of Chicago boundaries are defined. For all datasets related to COVID-19, see https://data.cityofchic

  9. COVID-19 mortality by vaccination status

    • kaggle.com
    zip
    Updated Dec 3, 2021
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    Mathurin Aché (2021). COVID-19 mortality by vaccination status [Dataset]. https://www.kaggle.com/mathurinache/covid19-mortality-by-vaccination-status
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    zip(3425 bytes)Available download formats
    Dataset updated
    Dec 3, 2021
    Authors
    Mathurin Aché
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    Why we need to compare the rates of death between vaccinated and unvaccinated During a pandemic, you might see headlines like “Half of those who died from the virus were vaccinated”.

    It would be wrong to draw any conclusions about whether the vaccines are protecting people from the virus based on this headline. The headline is not providing enough information to draw any conclusions.

    Content

    Data comes from https://ourworldindata.org/covid-deaths-by-vaccination Thanks to them to compile thiese kind of interesting dataset. If you want to know more please visit https://ourworldindata.org/covid-deaths-by-vaccination

    Acknowledgements

    https://www.pya.org/Content/Image/NewsBlog/Covid19%20vaccine.jpg" alt="Covid19 vaccination">

    Inspiration

    Exploration Data, Forecasting, Impact of vaccination in USA. Compare Moderna vs Johnson&Johnson vs Moderna

  10. Risk of death following COVID-19 vaccination or positive SARS-CoV-2 test in...

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Mar 27, 2023
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    Office for National Statistics (2023). Risk of death following COVID-19 vaccination or positive SARS-CoV-2 test in young people, England [Dataset]. https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/datasets/riskofdeathfollowingcovid19vaccinationorpositivesarscov2testinyoungpeopleengland
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    xlsxAvailable download formats
    Dataset updated
    Mar 27, 2023
    Dataset provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Description

    Estimates of the risk of all-cause and cardiac death in the 12 weeks after vaccination or positive SARS-CoV-2 test compared with subsequent weeks for people aged 12 to 29 years in England using two sources of mortality data: ONS death registrations and deaths recorded in Hospital Episode Statistics. 8 December 2020 to 25 May 2022. Experimental Statistics.

  11. I

    Estimated preventable COVID-19-associated deaths due to non-vaccination in...

    • data.niaid.nih.gov
    • immport.org
    • +1more
    url
    Updated Jan 25, 2024
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    (2024). Estimated preventable COVID-19-associated deaths due to non-vaccination in the United States [Dataset]. http://doi.org/10.21430/M3MTSYRBG6
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    urlAvailable download formats
    Dataset updated
    Jan 25, 2024
    License

    https://www.immport.org/agreementhttps://www.immport.org/agreement

    Area covered
    United States
    Description

    While some studies have previously estimated lives saved by COVID-19 vaccination, we estimate how many deaths could have been averted by vaccination in the US but were not because of a failure to vaccinate. We used a simple method based on a nationally representative dataset to estimate the preventable deaths among unvaccinated individuals in the US from May 30, 2021 to September 3, 2022 adjusted for the effects of age and time. We estimated that at least 232,000 deaths could have been prevented among unvaccinated adults during the 15 months had they been vaccinated with at least a primary series. While uncertainties exist regarding the exact number of preventable deaths and more granular data are needed on other factors causing differences in death rates between the vaccinated and unvaccinated groups to inform these estimates, this method is a rapid assessment on vaccine-preventable deaths due to SARS-CoV-2 that has crucial public health implications. The same rapid method can be used for future public health emergencies.

  12. Number of petitions filed per year for damages caused by vaccines U.S....

    • statista.com
    Updated Nov 26, 2025
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    Statista (2025). Number of petitions filed per year for damages caused by vaccines U.S. 1988-2025 [Dataset]. https://www.statista.com/statistics/668852/petitions-per-year-seeking-damages-for-injuries-or-deaths-caused-by-vaccines-us/
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    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, around 1,185 petitions were filed with the United States National Injury Compensation Program (VICP) seeking compensation for injury or death caused by vaccines. However, just because a petition was filed seeking compensation for injury or death due to a vaccination does not mean that compensation was awarded. Over half of all such petitions filed in the U.S. since 1988 have been dismissed, and in 60 percent of cases in which compensation was awarded it was still not determined whether the alleged vaccine caused the alleged injury. The impact of vaccinations Vaccinations in the United States have had a significant impact on infectious diseases. For example, as of 2017, there are only about 120 new cases of measles per year, compared to over half a million annual cases before the use of vaccination. Vaccinations in the U.S. have also greatly decreased the number of annual cases of hepatitis A and B, rubella, and tetanus. COVID-19 vaccination hesitancy Vaccine hesitancy is a persistent issue in the United States. The issue became especially pertinent during the COVID-19 pandemic in which many people in the United States expressed reluctance to getting a COVID-19 vaccination. In December 2020, 59 percent of adults in the United States who stated they would definitely not or probably not get a COVID-19 vaccine said so because they were worried about possible side effects, while 55 percent said they probably wouldn’t get a COVID-19 vaccination because they do not trust the government to make sure the vaccine is safe and effective. Shockingly, one survey found that even 29 percent of health care workers stated they would probably or definitely not get a COVID-19 vaccine.

  13. COVID Breakthrough Infections

    • kaggle.com
    zip
    Updated Aug 21, 2021
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    Marília Prata (2021). COVID Breakthrough Infections [Dataset]. https://www.kaggle.com/mpwolke/cusersmarildownloadsvaccincsv
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    zip(333 bytes)Available download formats
    Dataset updated
    Aug 21, 2021
    Authors
    Marília Prata
    Description

    Context

    .COVID-19: Illness After Vaccination

    "The COVID-19 vaccines are extremely effective at preventing serious illness, hospitalization, and death. Fully vaccinated people who test positive for COVID-19 more than 2 weeks after their completed vaccine dose series are called "breakthrough infections." No vaccine is 100 percent effective, and as such we expect to see some fully vaccinated people test positive for COVID-19. Breakthrough cases typically report mild illness or no symptoms."

    https://www.dhs.wisconsin.gov/covid-19/vaccine-status.htm#summary

    Content

    "Your likelihood of being infected with the virus that causes COVID-19 is determined by many factors, which include vaccinations, but also include the level of transmission and vaccine coverage in your community, whether you or others wear masks as recommended, the number of people you have close contact with, and more. On average, fully vaccinated individuals are less likely to be infected, hospitalized, and die from COVID-19 compared to unvaccinated individuals."

    https://www.dhs.wisconsin.gov/covid-19/vaccine-status.htm#summary

    Acknowledgements

    https://www.dhs.wisconsin.gov/covid-19/vaccine-status.htm#summary

    Photo by Joshua Hoehne on Unsplash

    Inspiration

    COVID-19: Illness After Vaccination

  14. COVID vaccination vs. mortality

    • kaggle.com
    zip
    Updated Jul 1, 2022
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    Sina Karaji (2022). COVID vaccination vs. mortality [Dataset]. https://www.kaggle.com/sinakaraji/covid-vaccination-vs-death
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    zip(981021 bytes)Available download formats
    Dataset updated
    Jul 1, 2022
    Authors
    Sina Karaji
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Description

    Context

    The COVID-19 outbreak has brought the whole planet to its knees.More over 4.5 million people have died since the writing of this notebook, and the only acceptable way out of the disaster is to vaccinate all parts of society. Despite the fact that the benefits of vaccination have been proved to the world many times, anti-vaccine groups are springing up all over the world. This data set was generated to investigate the impact of coronavirus vaccinations on coronavirus mortality.

    Content

    countryiso_codedatetotal_vaccinationspeople_vaccinatedpeople_fully_vaccinatedNew_deathspopulationratio
    country nameiso code for each countrydate that this data belongnumber of all doses of COVID vaccine usage in that countrynumber of people who got at least one shot of COVID vaccinenumber of people who got full vaccine shotsnumber of daily new deaths2021 country population% of vaccinations in that country at that date = people_vaccinated/population * 100

    Data Collection

    This dataset is a combination of the following three datasets:

    1.https://www.kaggle.com/gpreda/covid-world-vaccination-progress

    2.https://covid19.who.int/WHO-COVID-19-global-data.csv

    3.https://www.kaggle.com/rsrishav/world-population

    you can find more detail about this dataset by reading this notebook:

    https://www.kaggle.com/sinakaraji/simple-linear-regression-covid-vaccination

    Countries in this dataset:

    AfghanistanAlbaniaAlgeriaAndorraAngola
    AnguillaAntigua and BarbudaArgentinaArmeniaAruba
    AustraliaAustriaAzerbaijanBahamasBahrain
    BangladeshBarbadosBelarusBelgiumBelize
    BeninBermudaBhutanBolivia (Plurinational State of)Brazil
    Bosnia and HerzegovinaBotswanaBrunei DarussalamBulgariaBurkina Faso
    CambodiaCameroonCanadaCabo VerdeCayman Islands
    Central African RepublicChadChileChinaColombia
    ComorosCook IslandsCosta RicaCroatiaCuba
    CuraçaoCyprusDenmarkDjiboutiDominica
    Dominican RepublicEcuadorEgyptEl SalvadorEquatorial Guinea
    EstoniaEthiopiaFalkland Islands (Malvinas)FijiFinland
    FranceFrench PolynesiaGabonGambiaGeorgia
    GermanyGhanaGibraltarGreeceGreenland
    GrenadaGuatemalaGuineaGuinea-BissauGuyana
    HaitiHondurasHungaryIcelandIndia
    IndonesiaIran (Islamic Republic of)IraqIrelandIsle of Man
    IsraelItalyJamaicaJapanJordan
    KazakhstanKenyaKiribatiKuwaitKyrgyzstan
    Lao People's Democratic RepublicLatviaLebanonLesothoLiberia
    LibyaLiechtensteinLithuaniaLuxembourgMadagascar
    MalawiMalaysiaMaldivesMaliMalta
    MauritaniaMauritiusMexicoRepublic of MoldovaMonaco
    MongoliaMontenegroMontserratMoroccoMozambique
    MyanmarNamibiaNauruNepalNetherlands
    New CaledoniaNew ZealandNicaraguaNigerNigeria
    NiueNorth MacedoniaNorwayOmanPakistan
    occupied Palestinian territory, including east Jerusalem
    PanamaPapua New GuineaParaguayPeruPhilippines
    PolandPortugalQatarRomaniaRussian Federation
    RwandaSaint Kitts and NevisSaint Lucia
    Saint Vincent and the GrenadinesSamoaSan MarinoSao Tome and PrincipeSaudi Arabia
    SenegalSerbiaSeychellesSierra LeoneSingapore
    SlovakiaSloveniaSolomon IslandsSomaliaSouth Africa
    Republic of KoreaSouth SudanSpainSri LankaSudan
    SurinameSwedenSwitzerlandSyrian Arab RepublicTajikistan
    United Republic of TanzaniaThailandTogoTongaTrinidad and Tobago
    TunisiaTurkeyTurkmenistanTurks and Caicos IslandsTuvalu
    UgandaUkraineUnited Arab EmiratesThe United KingdomUnited States of America
    UruguayUzbekistanVanuatuVenezuela (Bolivarian Republic of)Viet Nam
    Wallis and FutunaYemenZambiaZimbabwe
  15. COVID-19 vaccine effectiveness estimated using Census 2021 variables,...

    • statistics.ukdataservice.ac.uk
    xlsx
    Updated Mar 8, 2023
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    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service. (2023). COVID-19 vaccine effectiveness estimated using Census 2021 variables, England: 31 March 2021 to 20 March 2022 [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/covid-19-vaccine-effectiveness-estimated-using-census-2021-variables-england
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    xlsxAvailable download formats
    Dataset updated
    Mar 8, 2023
    Dataset provided by
    Northern Ireland Statistics and Research Agency
    Office for National Statisticshttp://www.ons.gov.uk/
    UK Data Servicehttps://ukdataservice.ac.uk/
    Authors
    Office for National Statistics; National Records of Scotland; Northern Ireland Statistics and Research Agency; UK Data Service.
    License

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

    Area covered
    England
    Description

    Estimates of the risk of hospital admission for coronavirus (COVID-19) and death involving COVID-19 by vaccination status, overall and by age group, using anonymised linked data from Census 2021. Experimental Statistics.

    Outcome definitions

    For this analysis, we define a death as involving COVID-19 if either of the ICD-10 codes U07.1 (COVID-19, virus identified) or U07.2 (COVID-19, virus not identified) is mentioned on the death certificate. Information on cause of death coding is available in the User Guide to Mortality Statistics. We use date of occurrance rather than date of registration to give the date of the death.

    We define COVID-109 hospitalisation as an inpatient episode in Hospital Episode Statistics where the primary diagnosis was COVID-19, identified by the ICD-19 codes (COVID-19, virus identified) or U07.2 (COVID-19, virus not identified). Where an individual had experienced more than one COVID-19 hospitalisation, the earliest that occurred within the study period was used. We define the date of COVID-19 hospitalisation as the start of the hospital episode.

    ICD-10 code

    U07.1 :

    COVID-19, virus identified

    U07.2:

    COVID-19, virus not identified

    Vaccination status is defined by the dose and the time since the last dose received

    Unvaccinated:

    no vaccination to less than 21 days post first dose

    First dose 21 days to 3 months:

    more than or equal to 21 days post second dose to earliest of less than 91 days post first dose or less than 21 days post second dose

    First dose 3+ months:

    more than or equal to 91 days post first dose to less than 21 days post second dose

    Second dose 21 days to 3 months:

    more than or equal to 21 days post second dose to earliest of less than 91 days post second dose or less than 21 days post third dose

    Second dose 3-6 months:

    more than or equal to 91 days post second dose to earliest of less than 182 days post second dose or less than 21 days post third dose

    Second dose 6+ months:

    more than or equal to 182 days post second dose to less than 21 days post third dose

    Third dose 21 days to 3 months:

    more than or equal to 21 days post third dose to less than 91 days post third dose

    Third dose 3+ months:

    more than or equal to 91 days post third dose

    Model adjustments

    Three sets of model adjustments were used

    Age adjusted:

    age (as a natural spline)

    Age, socio-demographics adjusted:

    age (as a natural spline), plus socio-demographic characteristics (sex, region, ethnicity, religion, IMD decile, NSSEC category, highest qualification, English language proficiency, key worker status)

    Fully adjusted:

    age (as a natural spline), plus socio-demographic characteristics (sex, region, ethnicity, religion, IMD decile, NSSEC category, highest qualification, English language proficiency, key worker status), plus health-related characteristics (disability, self-reported health, care home residency, number of QCovid comorbidities (grouped), BMI category, frailty flag and hospitalisation within the last 21 days.

    Age

    Age in years is defined on the Census day 2021 (21 March 2021). Age is included in the model as a natural spline with boundary knots at the 10th and 90th centiles and internal knots at the 25th, 50th and 75th centiles. The positions of the knots are calculated separately for the overall model and for each age group for the stratified model.

  16. Number of COVID-19 deaths in Canada, Dec. 2020 to Sep. 2022, by vaccination...

    • statista.com
    Updated Feb 15, 2024
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    Statista (2024). Number of COVID-19 deaths in Canada, Dec. 2020 to Sep. 2022, by vaccination status [Dataset]. https://www.statista.com/statistics/1257040/number-covid-deaths-canada-by-vaccination-status/
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    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 14, 2020 - Sep 25, 2022
    Area covered
    Canada
    Description

    As of September 25, 2022, there have been around 10,800 confirmed deaths due to COVID-19 among unvaccinated Canadians since the start of the national vaccination campaign in December 2020. In contrast, just 3,821 (16.8%) COVID-19 deaths were reported among those who were fully vaccinated during the same time period. This statistic illustrates the number of confirmed COVID-19 deaths in Canada from December 14, 2020 to September 25, 2022, by vaccination status.

  17. f

    DataSheet_1_Brief research report: impact of vaccination on antibody...

    • datasetcatalog.nlm.nih.gov
    • figshare.com
    • +1more
    Updated Feb 7, 2024
    + more versions
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    Rubinstein, Mark P.; Vlasova, Anastasia N.; Bednash, Joseph S.; Adhikari, Bindu; Horowitz, Jeffrey C. (2024). DataSheet_1_Brief research report: impact of vaccination on antibody responses and mortality from severe COVID-19.pdf [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001408547
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    Dataset updated
    Feb 7, 2024
    Authors
    Rubinstein, Mark P.; Vlasova, Anastasia N.; Bednash, Joseph S.; Adhikari, Bindu; Horowitz, Jeffrey C.
    Description

    IntroductionWhile it is established that vaccination reduces risk of hospitalization, there is conflicting data on whether it improves outcome among hospitalized COVID-19 patients. This study evaluated clinical outcomes and antibody (Ab) responses to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection/vaccines in patients with acute respiratory failure (ARF) and various comorbidities.MethodsIn this single-center study, 152 adult patients were admitted to Ohio State University hospital with ARF (05/2020 – 11/2022) including 112 COVID-19-positive and 40 COVID-19-negative patients. Of the COVID-19 positive patients, 23 were vaccinated for SARS-CoV-2 (Vax), and 89 were not (NVax). Of the NVax COVID-19 patients, 46 were admitted before and 43 after SARS-CoV-2 vaccines were approved. SARS-CoV-2 Ab levels were measured/analyzed based on various demographic and clinical parameters of COVID-19 patients. Additionally, total IgG4 Ab concentrations were compared between the Vax and NVax patients.ResultsWhile mortality rates were 36% (n=25) and 27% (n=15) for non-COVID-19 NVax and Vax patients, respectively, in COVID-19 patients mortality rates were 37% (NVax, n=89) and 70% (Vax, n=23). Among COVID-19 patients, mortality rate was significantly higher among Vax vs. NVax patients (p=0.002). The Charlson’s Comorbidity Index score (CCI) was also significantly higher among Vax vs. NVax COVID-19 patients. However, the mortality risk remained significantly higher (p=0.02) when we compared COVID-19 Vax vs. NVax patients with similar CCI score, suggesting that additional factors may increase risk of mortality. Higher levels of SARS-CoV-2 Abs were noted among survivors, suggestive of their protective role. We observed a trend for increased total IgG4 Ab, which promotes immune tolerance, in the Vax vs. NVax patients in week 3.ConclusionAlthough our cohort size is small, our results suggest that vaccination status of hospital-admitted COVID-19 patients may not be instructive in determining mortality risk. This may reflect that within the general population, those individuals at highest risk for COVID-19 mortality/immune failure are likely to be vaccinated. Importantly, the value of vaccination may be in preventing hospitalization as opposed to stratifying outcome among hospitalized patients, although our data do not address this possibility. Additional research to identify factors predictive of aberrant immunogenic responses to vaccination is warranted.

  18. Number of COVID-19 deaths in the United States as of March 10, 2023, by...

    • statista.com
    Updated Mar 28, 2023
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    Statista (2023). Number of COVID-19 deaths in the United States as of March 10, 2023, by state [Dataset]. https://www.statista.com/statistics/1103688/coronavirus-covid19-deaths-us-by-state/
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    Dataset updated
    Mar 28, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    As of March 10, 2023, there have been 1.1 million deaths related to COVID-19 in the United States. There have been 101,159 deaths in the state of California, more than any other state in the country – California is also the state with the highest number of COVID-19 cases.

    The vaccine rollout in the U.S. Since the start of the pandemic, the world has eagerly awaited the arrival of a safe and effective COVID-19 vaccine. In the United States, the immunization campaign started in mid-December 2020 following the approval of a vaccine jointly developed by Pfizer and BioNTech. As of March 22, 2023, the number of COVID-19 vaccine doses administered in the U.S. had reached roughly 673 million. The states with the highest number of vaccines administered are California, Texas, and New York.

    Vaccines achieved due to work of research groups Chinese authorities initially shared the genetic sequence to the novel coronavirus in January 2020, allowing research groups to start studying how it invades human cells. The surface of the virus is covered with spike proteins, which enable it to bind to human cells. Once attached, the virus can enter the cells and start to make people ill. These spikes were of particular interest to vaccine manufacturers because they hold the key to preventing viral entry.

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

    • data.cdc.gov
    • data.virginia.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/w/54ys-qyzm/tdwk-ruhb?cur=oWvCjIyWD6z&from=tPCKf1wdL06
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    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

  20. Vaccination status of deaths and hospitalisations

    • gov.uk
    • s3.amazonaws.com
    Updated Nov 17, 2021
    + more versions
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    Department of Health (Northern Ireland) (2021). Vaccination status of deaths and hospitalisations [Dataset]. https://www.gov.uk/government/statistics/vaccination-status-of-deaths-and-hospitalisations
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    Dataset updated
    Nov 17, 2021
    Dataset provided by
    GOV.UKhttp://gov.uk/
    Authors
    Department of Health (Northern Ireland)
    Description

    Information on the vaccination status of COVID-19 deaths and hospitalisations

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Government of Ontario (2025). Deaths Involving COVID-19 by Vaccination Status [Dataset]. https://open.canada.ca/data/dataset/1375bb00-6454-4d3e-a723-4ae9e849d655
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Deaths Involving COVID-19 by Vaccination Status

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49 scholarly articles cite this dataset (View in Google Scholar)
docx, csv, html, xlsxAvailable download formats
Dataset updated
Nov 12, 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
Mar 1, 2021 - Nov 12, 2024
Description

This dataset reports the daily reported number of the 7-day moving average rates of Deaths involving COVID-19 by vaccination status and by age group. Learn how the Government of Ontario is helping to keep Ontarians safe during the 2019 Novel Coronavirus outbreak. 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 Data includes: * Date on which the death occurred * Age group * 7-day moving average of the last seven days of the death rate per 100,000 for those not fully vaccinated * 7-day moving average of the last seven days of the death rate per 100,000 for those fully vaccinated * 7-day moving average of the last seven days of the death rate per 100,000 for those vaccinated with at least one booster ##Additional notes As of June 16, all COVID-19 datasets will be updated weekly on Thursdays by 2pm. As of January 12, 2024, data from the date of January 1, 2024 onwards reflect updated population estimates. This update specifically impacts data for the 'not fully vaccinated' category. On November 30, 2023 the count of COVID-19 deaths was updated to include missing historical deaths from January 15, 2020 to March 31, 2023. CCM is a dynamic disease reporting system which allows ongoing update to data previously entered. As a result, data extracted from CCM represents a snapshot at the time of extraction and may differ from previous or subsequent results. Public Health Units continually clean up COVID-19 data, correcting for missing or overcounted cases and deaths. These corrections can result in data spikes and current totals being different from previously reported cases and deaths. Observed trends over time should be interpreted with caution for the most recent period due to reporting and/or data entry lags. The data does not include vaccination data for people who did not provide consent for vaccination records to be entered into the provincial COVaxON system. This includes individual records as well as records from some Indigenous communities where those communities have not consented to including vaccination information in COVaxON. “Not fully vaccinated” category includes people with no vaccine and one dose of double-dose vaccine. “People with one dose of double-dose vaccine” category has a small and constantly changing number. The combination will stabilize the results. Spikes, negative numbers and other data anomalies: Due to ongoing data entry and data quality assurance activities in Case and Contact Management system (CCM) file, Public Health Units continually clean up COVID-19, correcting for missing or overcounted cases and deaths. These corrections can result in data spikes, negative numbers and current totals being different from previously reported case and death counts. Public Health Units report cause of death in the CCM based on information available to them at the time of reporting and in accordance with definitions provided by Public Health Ontario. The medical certificate of death is the official record and the cause of death could be different. Deaths are defined per the outcome field in CCM marked as “Fatal”. Deaths in COVID-19 cases identified as unrelated to COVID-19 are not included in the Deaths involving COVID-19 reported. Rates for the most recent days are subject to reporting lags All data reflects totals from 8 p.m. the previous day. This dataset is subject to change.

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