21 datasets found
  1. d

    COVID-19 Outcomes by Vaccination Status - Historical

    • catalog.data.gov
    • data.cityofchicago.org
    • +2more
    Updated May 24, 2024
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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

  2. 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
    Explore at:
    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.

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

    • data.cdc.gov
    • healthdata.gov
    • +1more
    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/w/3rge-nu2a/tdwk-ruhb?cur=9Dqe1nvydOt
    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.

  4. 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

  5. Deaths by vaccination status, England

    • ons.gov.uk
    • cy.ons.gov.uk
    xlsx
    Updated Aug 25, 2023
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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.

  6. 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
    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

  7. u

    Deaths Involving COVID-19 by Vaccination Status - Catalogue - Canadian Urban...

    • data.urbandatacentre.ca
    Updated Oct 19, 2025
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    (2025). Deaths Involving COVID-19 by Vaccination Status - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-1375bb00-6454-4d3e-a723-4ae9e849d655
    Explore at:
    Dataset updated
    Oct 19, 2025
    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.

  8. COVID-19 Vaccine Progress Dashboard Data

    • data.chhs.ca.gov
    • data.ca.gov
    • +4more
    csv, xlsx, zip
    Updated Dec 2, 2025
    + more versions
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    California Department of Public Health (2025). COVID-19 Vaccine Progress Dashboard Data [Dataset]. https://data.chhs.ca.gov/dataset/vaccine-progress-dashboard
    Explore at:
    csv(2641927), xlsx(11249), csv(638738), csv(675610), csv(83128924), zip, csv(8356597), csv(399683276), csv(724860), csv(12877811), csv(111682), csv(148732), csv(7777694), csv(82754), csv(26828), csv(503270), csv(54906), xlsx(7708), csv(6772350), csv(303068812), xlsx(11870), csv(110928434), csv(18403068), csv(2447143), xlsx(11731), xlsx(11534), csv(188895), csv(4031189), csv(1050523)Available download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    California Department of Public Healthhttps://www.cdph.ca.gov/
    Description

    Note: In these datasets, a person is defined as up to date if they have received at least one dose of an updated COVID-19 vaccine. The Centers for Disease Control and Prevention (CDC) recommends that certain groups, including adults ages 65 years and older, receive additional doses.

    On 6/16/2023 CDPH replaced the booster measures with a new “Up to Date” measure based on CDC’s new recommendations, replacing the primary series, boosted, and bivalent booster metrics The definition of “primary series complete” has not changed and is based on previous recommendations that CDC has since simplified. A person cannot complete their primary series with a single dose of an updated vaccine. Whereas the booster measures were calculated using the eligible population as the denominator, the new up to date measure uses the total estimated population. Please note that the rates for some groups may change since the up to date measure is calculated differently than the previous booster and bivalent measures.

    This data is from the same source as the Vaccine Progress Dashboard at https://covid19.ca.gov/vaccination-progress-data/ which summarizes vaccination data at the county level by county of residence. Where county of residence was not reported in a vaccination record, the county of provider that vaccinated the resident is included. This applies to less than 1% of vaccination records. The sum of county-level vaccinations does not equal statewide total vaccinations due to out-of-state residents vaccinated in California.

    These data do not include doses administered by the following federal agencies who received vaccine allocated directly from CDC: Indian Health Service, Veterans Health Administration, Department of Defense, and the Federal Bureau of Prisons.

    Totals for the Vaccine Progress Dashboard and this dataset may not match, as the Dashboard totals doses by Report Date and this dataset totals doses by Administration Date. Dose numbers may also change for a particular Administration Date as data is updated.

    Previous updates:

    • On March 3, 2023, with the release of HPI 3.0 in 2022, the previous equity scores have been updated to reflect more recent community survey information. This change represents an improvement to the way CDPH monitors health equity by using the latest and most accurate community data available. The HPI uses a collection of data sources and indicators to calculate a measure of community conditions ranging from the most to the least healthy based on economic, housing, and environmental measures.

    • Starting on July 13, 2022, the denominator for calculating vaccine coverage has been changed from age 5+ to all ages to reflect new vaccine eligibility criteria. Previously the denominator was changed from age 16+ to age 12+ on May 18, 2021, then changed from age 12+ to age 5+ on November 10, 2021, to reflect previous changes in vaccine eligibility criteria. The previous datasets based on age 16+ and age 5+ denominators have been uploaded as archived tables.

    • Starting on May 29, 2021 the methodology for calculating on-hand inventory in the shipped/delivered/on-hand dataset has changed. Please see the accompanying data dictionary for details. In addition, this dataset is now down to the ZIP code level.

  9. m

    MD COVID19 TotalVaccinationsAge65PlusAtleast1DoseAndFullyVaccinated DataMart...

    • data.imap.maryland.gov
    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • +2more
    Updated Mar 30, 2022
    + more versions
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    ArcGIS Online for Maryland (2022). MD COVID19 TotalVaccinationsAge65PlusAtleast1DoseAndFullyVaccinated DataMart [Dataset]. https://data.imap.maryland.gov/datasets/md-covid19-totalvaccinationsage65plusatleast1doseandfullyvaccinated-datamart/about
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    Dataset updated
    Mar 30, 2022
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Description

    Deprecated as of 4/21/2023On 4/27/2023 several COVID-19 datasets were retired and no longer included in public COVID-19 data dissemination. For more information, visit https://imap.maryland.gov/pages/covid-dataSummaryThe cumulative number of COVID-19 vaccinations for persons aged 65+ within a single Maryland jurisdiction: Persons fully vaccinated and those who have received at least one dose.DescriptionThe MD COVID-19—Persons 65+ Fully Vaccinated layer represents the number of people in each Maryland jurisdiction aged 65 and older who have either received at least one dose of COVID-19 vaccine in a two-dose regimen or are fully vaccinated (have either received a single shot regimen or have completed the second dose in a two-dose regimen), reported each day into ImmuNet.CDC COVID10 Vaccinations in the United States,CountyCOVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

  10. m

    MD COVID19 TotalVaccinationsAge65plusFirstandSecondSingleDose

    • data.imap.maryland.gov
    • coronavirus.maryland.gov
    • +1more
    Updated May 24, 2021
    + more versions
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    ArcGIS Online for Maryland (2021). MD COVID19 TotalVaccinationsAge65plusFirstandSecondSingleDose [Dataset]. https://data.imap.maryland.gov/maps/md-covid19-totalvaccinationsage65plusfirstandsecondsingledose
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    Dataset updated
    May 24, 2021
    Dataset authored and provided by
    ArcGIS Online for Maryland
    Description

    SummaryThe cumulative number of COVID-19 vaccinations for persons aged 65+ within a single Maryland jurisdiction: Persons fully vaccinated and those who have received at least one dose.DescriptionThe MD COVID-19—Persons 65+ Fully Vaccinated layer represents the number of people in each Maryland jurisdiction aged 65 and older who have either received at least one dose of COVID-19 vaccine in a two-dose regimen or are fully vaccinated (have either received a single shot regimen or have completed the second dose in a two-dose regimen), reported each day into ImmuNet.COVID-19 is a disease caused by a respiratory virus first identified in Wuhan, Hubei Province, China in December 2019. COVID-19 is a new virus that hasn't caused illness in humans before. Worldwide, COVID-19 has resulted in thousands of infections, causing illness and in some cases death. Cases have spread to countries throughout the world, with more cases reported daily. The Maryland Department of Health reports daily on COVID-19 cases by county.

  11. Computed tomography chest findings of COVID-19 infection in vaccinated as...

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Samar Fatima; Amara Zafar; Haris Afzal; Taymmia Ejaz; Sara Shamim; Shayan Saleemi; Amna Subhan Butt (2023). Computed tomography chest findings of COVID-19 infection in vaccinated as compared to non-vaccinated patients. [Dataset]. http://doi.org/10.1371/journal.pone.0270485.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Samar Fatima; Amara Zafar; Haris Afzal; Taymmia Ejaz; Sara Shamim; Shayan Saleemi; Amna Subhan Butt
    License

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

    Description

    Computed tomography chest findings of COVID-19 infection in vaccinated as compared to non-vaccinated patients.

  12. Latest worldwide Covid_19 vaccination data

    • kaggle.com
    zip
    Updated Jan 14, 2023
    + more versions
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    Senapati Rajesh (2023). Latest worldwide Covid_19 vaccination data [Dataset]. https://www.kaggle.com/datasets/senapatirajesh/corona-virus-vaccination-jan2023
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    zip(17990 bytes)Available download formats
    Dataset updated
    Jan 14, 2023
    Authors
    Senapati Rajesh
    License

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

    Description

    Dataset contains: Latest worldwide vaccination status of all the countries till 08th Jan 2023.

    Features: Country-Name of the country Pct. of population Vaccinated-Percentage of population Vaccinated Pct. of population Fully vaccinated-Percentage of population Fully vaccinated Additional Doses Per 100 people-Number of additional doses per 100 people Additional Doses Total-Number of total additional doses Doses administered Per 100 people-Number of vaccine doses administered per 100 people Total Doses administered-Total number of doses administered

    Coronavirus disease 2019 (COVID-19) is a contagious disease caused by a virus, the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The first known case was identified in Wuhan, China, in December 2019.The disease quickly spread worldwide, resulting in the COVID-19 pandemic.

    Vaccines save millions of lives each year and a COVID-19 vaccine could save yours. The COVID-19 vaccines are safe and effective, providing strong protection against serious illness and death. WHO reports that unvaccinated people have at least 10 times higher risk of death from COVID-19 than someone who has been vaccinated.The COVID-19 vaccines are highly effective, but no vaccine provides 100 per cent protection. Some people will still get ill from COVID-19 after vaccination or pass the virus onto someone else. Therefore, it is important to continue practicing safety precautions to protect yourself and others, including avoiding crowded spaces, physical distancing, hand washing and wearing a mask.

  13. ARCHIVED - COVID-19 Vaccination in Scotland up to September 2022

    • find.data.gov.scot
    • dtechtive.com
    csv
    Updated Jan 6, 2023
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    Public Health Scotland (2023). ARCHIVED - COVID-19 Vaccination in Scotland up to September 2022 [Dataset]. https://find.data.gov.scot/datasets/19554
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    csv(2.7252 MB), csv(31.9742 MB), csv(0.0231 MB), csv(13.1374 MB), csv(0.828 MB), csv(34.1992 MB), csv(1.8186 MB), csv(24.7837 MB), csv(28.3187 MB), csv(10.5205 MB), csv(13.0068 MB), csv(25.4394 MB), csv(25.5768 MB)Available download formats
    Dataset updated
    Jan 6, 2023
    Dataset provided by
    Public Health Scotland
    License

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

    Area covered
    Scotland
    Description

    This dataset is no longer updated, find vaccination data here From 24 March 2022, Public Health Scotland (PHS) began reporting the number of people who have received a fourth dose of Covid-19 vaccination. Vaccine uptake statistics among care home residents and those who are severely immunosuppressed will be reported initially. PHS will include further updates as the Spring/Summer vaccination programme rolls out. In addition, as part of our continuous review of reporting, PHS made some changes to vaccine uptake statistics. From 24 March 2022, the deceased and those who no longer live in Scotland are no longer be included in vaccine uptake statistics. Historic trend data have been updated to take into account this new methodology for all apart from the Daily Trends by JCVI Priority Group table (more details about the data in this table are below). Scotland level data for all vaccinations administered (i.e. including those who have since died or moved from Scotland) are still available in the Daily Trend of All Vaccinations Delivered in Scotland table. Also from 24 March 2022, Dose 3/Booster doses are termed "Dose 3". To allow new data to be fully processed and available at 14:00, the Daily COVID-19 in Scotland and COVID-19 Vaccination in Scotland datasets will be temporarily unavailable from 12:45 to 14:00. During this window, the datasets will not be visible and any queries made to these datasets will return a 404 - Not found error. At all other times the datasets will be available in full as usual. PHS reviewed the JCVI priority group uptake figures from 18 November 2021, specifically how we derive the numerator and the denominator. The rational for the change is to ensure we report on most up to date living population for each group. For this, the list of individuals in each cohort has been refreshed to be more current. We have also removed individuals who have since died to reflect the current living population. From the 24 March 2022 those who are no longer living in Scotland have also been removed from the numerator and denominator for JCVI priority group uptake figures. This means all the JCVI cohorts and populations have changed for both numerator and denominators on these two dates and care should be taken when interpreting trends. On 08 December 2020, a Coronavirus (COVID-19) vaccine developed by Pfizer BioNTech (Comirnaty) was first used in the UK as part of national immunisation programmes. The AstraZeneca (Spikevax) vaccine was also approved for use in the national programme, and rollout of this vaccine began on 04 January 2021. Moderna (Vaxzevria) vaccine was approved for use on 8 January 2021 and rollout of this vaccine began on 07 April 2021. These vaccines have met strict standards of safety, quality and effectiveness set out by the independent Medicines and Healthcare Products Regulatory Agency (MHRA). Those giving the vaccine to others were the first to receive the vaccination. In the first phase of the programme, NHS Scotland followed the independent advice received from the Joint Committee on Vaccination and Immunisation (JCVI) and prioritised delivery of the vaccine to those with the greatest clinical need, in line with the recommended order of prioritisation. For booster vaccinations a similar approach has been adopted. Definitions used in the vaccine uptake by JCVI priority group resource can be found in the JCVI Priority Group Definitions table. Individuals can appear in more than one JCVI priority group. This dataset provides information on daily number of COVID vaccinations in Scotland. Data on the total number of vaccinations in Scotland is presented by day administered and vaccine type, by age group, by sex, by non-age cohorts and by geographies (NHS Board and Local Authority). As the population in the cohorts can change with time, these will be refined when updated data are available. Additional data sources relating to this topic area are provided in the Links section of the Metadata below. Data visualisation and additional notes are available on the Public Health Scotland - Covid 19 Scotland dashboard.

  14. Clinical Outcomes of COVID-19 infection in vaccinated as compared to...

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Samar Fatima; Amara Zafar; Haris Afzal; Taymmia Ejaz; Sara Shamim; Shayan Saleemi; Amna Subhan Butt (2023). Clinical Outcomes of COVID-19 infection in vaccinated as compared to non-vaccinated patients. [Dataset]. http://doi.org/10.1371/journal.pone.0270485.t006
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Samar Fatima; Amara Zafar; Haris Afzal; Taymmia Ejaz; Sara Shamim; Shayan Saleemi; Amna Subhan Butt
    License

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

    Description

    Clinical Outcomes of COVID-19 infection in vaccinated as compared to non-vaccinated patients.

  15. f

    S1 Data -

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated May 23, 2024
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    Kakande, Elijah; Owaraganise, Asiphas; Okiring, Jaffer; Nangendo, Joan; Mwangwa, Florence; Beesiga, Brian; Kabami, Jane; Akatukwasa, Cecilia; Lee, Jordan John; Roh, Michelle E.; Semitala, Fred C.; Kamya, Moses R. (2024). S1 Data - [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0001311478
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    Dataset updated
    May 23, 2024
    Authors
    Kakande, Elijah; Owaraganise, Asiphas; Okiring, Jaffer; Nangendo, Joan; Mwangwa, Florence; Beesiga, Brian; Kabami, Jane; Akatukwasa, Cecilia; Lee, Jordan John; Roh, Michelle E.; Semitala, Fred C.; Kamya, Moses R.
    Description

    Chronic diseases such as HIV, hypertension, and diabetes increase the risk of severe coronavirus disease 2019 (COVID-19) and death. Thus, COVID-19 vaccine uptake data among these priority populations are needed to inform immunization programs. We assessed COVID-19 vaccine uptake among people living with HIV (PLWH) and those with hypertension/diabetes without HIV (PWoH) in Southwestern and Southcentral Uganda and determined factors influencing vaccination. We conducted a cross-sectional study from January to April 2023. We enrolled a random sample of participants aged 18 years and older seeking HIV, hypertension, or diabetes care at two regional referral hospitals (RRHs) in Mbarara and Masaka in Uganda. Using vaccination records abstraction and interviewer-administered questionnaires, we collected data on COVID-19 vaccine uptake, sociodemographic data, and reasons for non-uptake in unvaccinated persons. We compared COVID-19 vaccination uptake between PLWH and PWoH and applied modified Poisson regression to determine sociodemographic factors associated with vaccine uptake. The reasons for non-vaccine uptake were presented as percentages. Of the 1,376 enrolled participants, 65.6% were fully vaccinated against COVID-19. Vaccination coverage was 65% among PWLH versus 67% among PWoH. Higher education attainment and older age were associated with COVID vaccination. Participants with secondary education and those aged ≥50 years achieved >70% coverage. Fear of side effects was the most cited reason (67%) for non-vaccination among 330 unvaccinated participants, followed by vaccine mistrust (24.5%). People with chronic diseases in Southwestern Uganda had slightly lower than 70% COVID-19 vaccine coverage as recommended by WHO. Higher educational attainment and older age were linked to increased vaccine uptake. However, mistrust and fear of vaccine side effects were the main reasons for non-vaccination. To increase COVID-19 vaccine uptake, programs must reach those with lower educational attainment and younger age groups, and address the fear of vaccine side effects and mistrust among persons with underlying diseases in Uganda.

  16. Clinical complications of COVID-19 infection in vaccinated as compared to...

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Samar Fatima; Amara Zafar; Haris Afzal; Taymmia Ejaz; Sara Shamim; Shayan Saleemi; Amna Subhan Butt (2023). Clinical complications of COVID-19 infection in vaccinated as compared to non-vaccinated patients. [Dataset]. http://doi.org/10.1371/journal.pone.0270485.t007
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    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Samar Fatima; Amara Zafar; Haris Afzal; Taymmia Ejaz; Sara Shamim; Shayan Saleemi; Amna Subhan Butt
    License

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

    Description

    Clinical complications of COVID-19 infection in vaccinated as compared to non-vaccinated patients.

  17. h

    英格兰COVID19疫苗接种与死亡率数据 - Dataset - 海数据

    • haidatas.com
    Updated Feb 24, 2025
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    (2025). 英格兰COVID19疫苗接种与死亡率数据 - Dataset - 海数据 [Dataset]. https://haidatas.com/dataset/yinggelancovid19yimiaojiezhongyusiwanglvsh_54faefb2
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    Dataset updated
    Feb 24, 2025
    Description

    标题:英格兰COVID-19疫苗接种与死亡率数据 数据内容: 该数据集记录了英格兰地区COVID-19疫苗接种状况与每月死亡率的关系。数据内容包括: 1. 实体(Entity):表示地区或机构的名称。 2. 代码(Code):用于唯一标识数据记录的代码。 3. 日期(Day):表示数据记录的日期,按月计算。 4. 未接种疫苗人群每月死亡率(Death rate (monthly) of unvaccinated people - England, by age):按年龄分组计算的未接种疫苗人群每月死亡率。 5. 完全接种疫苗人群每月死亡率(Death rate (monthly) of fully vaccinated people - England, by age):按年龄分组计算的完全接种疫苗人群每月死亡率。 数据来源:互联网公开数据 数据用途: 该数据集可用于研究COVID-19疫苗接种对死亡率的影响,为公共卫生政策制定提供支持。适用的行业包括: - 公共卫生:评估疫苗接种效果,制定防疫策略。 - 医疗研究:分析不同年龄段疫苗接种与死亡率的关系。 - 政府政策:为疫苗接种规划和资源分配提供依据。 分析: - 数据集覆盖了英格兰地区,按年龄分组统计了未接种疫苗和完全接种疫苗人群的每月死亡率。 - 未接种疫苗人群有63种不同的死亡率值,完全接种疫苗人群有36种不同的死亡率值,表明完全接种疫苗人群的死亡率显著低于未接种疫苗人群。 标签:英格兰,COVID-19,疫苗接种,死亡率,公共卫生,医疗研究,数据分析,政府政策,健康统计

  18. f

    DataSheet_1_A Review on Measures to Rejuvenate Immune System: Natural Mode...

    • datasetcatalog.nlm.nih.gov
    • frontiersin.figshare.com
    Updated Mar 15, 2022
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    He, Cheng; Barua, Abanti; Jakariya,; Islam, Aminul; Ahmed, Firoz; Al Marzan, Abdullah; Hossen, Foysal; Baral, Sumit Kumar; Reza, Mahin; Das, Tuhin; Rahman, Arifur; Bhattacharya, Prosun; Haque, Atiqul (2022). DataSheet_1_A Review on Measures to Rejuvenate Immune System: Natural Mode of Protection Against Coronavirus Infection.pdf [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000217098
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    Dataset updated
    Mar 15, 2022
    Authors
    He, Cheng; Barua, Abanti; Jakariya,; Islam, Aminul; Ahmed, Firoz; Al Marzan, Abdullah; Hossen, Foysal; Baral, Sumit Kumar; Reza, Mahin; Das, Tuhin; Rahman, Arifur; Bhattacharya, Prosun; Haque, Atiqul
    Description

    SARS-CoV-2, a novel Corona virus strain, was first detected in Wuhan, China, in December 2019. As of December 16, 2021, almost 4,822,472 people had died and over 236,132,082 were infected with this lethal viral infection. It is believed that the human immune system is thought to play a critical role in the initial phase of infection when the viruses invade the host cells. Although some effective vaccines have already been on the market, researchers and many bio-pharmaceuticals are still working hard to develop a fully functional vaccine or more effective therapeutic agent against the COVID-19. Other efforts, in addition to functional vaccines, can help strengthen the immune system to defeat the corona virus infection. Herein, we have reviewed some of those proven measures, following which a more efficient immune system can be better prepared to fight viral infection. Among these, dietary supplements like- fresh vegetables and fruits offer a plentiful of vitamins and antioxidants, enabling to build of a healthy immune system. While the pharmacologically active components of medicinal plants directly aid in fighting against viral infection, supplementary supplements combined with a healthy diet will assist to regulate the immune system and will prevent viral infection. In addition, some personal habits, like- regular physical exercise, intermittent fasting, and adequate sleep, had also been proven to aid the immune system in becoming an efficient one. Maintaining each of these will strengthen the immune system, allowing innate immunity to become a more defensive and active antagonistic mechanism against corona-virus infection. However, because dietary treatments take longer to produce beneficial effects in adaptive maturation, personalized nutrition cannot be expected to have an immediate impact on the global outbreak.

  19. f

    Baseline laboratory parameters of patients with COVID-19 infection in...

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
    + more versions
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    Samar Fatima; Amara Zafar; Haris Afzal; Taymmia Ejaz; Sara Shamim; Shayan Saleemi; Amna Subhan Butt (2023). Baseline laboratory parameters of patients with COVID-19 infection in correlation to vaccination status. [Dataset]. http://doi.org/10.1371/journal.pone.0270485.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Samar Fatima; Amara Zafar; Haris Afzal; Taymmia Ejaz; Sara Shamim; Shayan Saleemi; Amna Subhan Butt
    License

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

    Description

    Baseline laboratory parameters of patients with COVID-19 infection in correlation to vaccination status.

  20. Relative risk (RR) of COVID-19 related hospitalization/death.

    • plos.figshare.com
    • datasetcatalog.nlm.nih.gov
    xls
    Updated Apr 5, 2024
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    Sylvie Nadine Theresa Pool; Emelyn Helen Shroff; Agnes Chetty; Lara Lewis; Yende-Zuma Nonhlanhla; Salim S. Abdool Karim (2024). Relative risk (RR) of COVID-19 related hospitalization/death. [Dataset]. http://doi.org/10.1371/journal.pone.0299747.t002
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    xlsAvailable download formats
    Dataset updated
    Apr 5, 2024
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Sylvie Nadine Theresa Pool; Emelyn Helen Shroff; Agnes Chetty; Lara Lewis; Yende-Zuma Nonhlanhla; Salim S. Abdool Karim
    License

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

    Description

    Relative risk (RR) of COVID-19 related hospitalization/death.

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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

COVID-19 Outcomes by Vaccination Status - Historical

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2 scholarly articles cite this dataset (View in Google Scholar)
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

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