19 datasets found
  1. o

    COVID-19 Vaccine Data in Ontario

    • data.ontario.ca
    • datasets.ai
    • +1more
    csv, txt, xlsx
    Updated Dec 13, 2024
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    Health (2024). COVID-19 Vaccine Data in Ontario [Dataset]. https://data.ontario.ca/dataset/covid-19-vaccine-data-in-ontario
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    csv(40072), xlsx(20450), csv(1303887), csv(18214), csv(49841043), csv(101259), txt(8365), xlsx(21260), csv(7350)Available download formats
    Dataset updated
    Dec 13, 2024
    Dataset authored and provided by
    Health
    License

    https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

    Time period covered
    Nov 14, 2024
    Area covered
    Ontario
    Description

    **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 **

    As of January 26, 2023, the population counts are based on Statistics Canada’s 2021 estimates. The coverage methodology has been revised to calculate age based on the current date and deceased individuals are no longer included. The method used to count daily dose administrations has changed is now based on the date delivered versus the day entered into the data system. Historical data has been updated.

    Please note that Cases by Vaccination Status data will no longer be published as of June 30, 2022.

    Please note that case rates by vaccination status and age group data will no longer be published as of July 13, 2022.

    Please note that Hospitalization by Vaccination Status data will no longer be published as of June 30, 2022.

    Learn more about COVID-19 vaccines.

    Data includes:

    • daily and total doses administered
    • individuals with at least one dose
    • individuals fully vaccinated
    • total doses given to fully vaccinated individuals
    • vaccinations by age
    • percentage of age group
    • individuals with at least one dose, by PHU, by age group
    • individuals fully vaccinated, by PHU, by age group
    • COVID-19 cases by status: not fully vaccinated, fully vaccinated, vaccinated with booster
    • individuals in hospital due to COVID-19 (excluding ICU) by status: unvaccinated, partially vaccinated, fully vaccinated
    • individuals in ICU due to COVID-19 by status: unvaccinated, partially vaccinated, fully vaccinated, unknown
    • rate of COVID-19 cases per 100,000 by status and age group
    • rate per 100,000 (7-day average) by status and age group

    All data reflects totals from 8 p.m. the previous day.

    This dataset is subject to change.

    Additional notes

    • Data entry of vaccination records is still in progress, therefore the dosage data may not be a full representation of all vaccination doses administered in Ontario.
    • The data does not include dosage data where consent was not provided for vaccination records to be entered into the provincial CoVax system. This includes individual records as well as records from some Indigenous communities where those communities have not consented to including vaccination information into CoVax.

    Hospitalizations and cases by vaccination status

    Hospitalizations

    • This is a new data collection and the data quality will continue to improve as hospitals continue to submit data.
    • In order to understand the vaccination status of patients currently hospitalized, a new data collection process was developed and this may cause discrepancies between other hospitalization numbers being collected using a different data collection process.
    • Data on patients in ICU are being collected from two different data sources with different extraction times and public reporting cycles. The existing data source (Critical Care Information System, CCIS) does not have vaccination status.
    • Historical data for hospitalizations by region may change over time as hospitals update previously entered data.
    • Due to incomplete weekend and holiday reporting, vaccination status data for hospital and ICU admissions is not updated on Sundays, Mondays and the day after holidays
    • Unvaccinated is defined as not having any dose, or between 0-13 days after administration of the first dose of a COVID-19 vaccine.
    • Partially vaccinated is defined as 14 days or more after the first dose of a 2-dose series COVID-19 vaccine, or between 0-13 days after administration of the second dose
    • Fully vaccinated is defined as 14 days or more after receipt of the second dose of a 2-dose series COVID-19 vaccine

    Cases

    • The cases by vaccination status may not match the daily COVID-19 case count because records with a missing or invalid health card number cannot be linked.
  2. Cumulative number and percent of people who have received a COVID-19 vaccine...

    • open.canada.ca
    • data.urbandatacentre.ca
    • +2more
    csv
    Updated Nov 23, 2025
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    Public Health Agency of Canada (2025). Cumulative number and percent of people who have received a COVID-19 vaccine by vaccine product, number of doses, jurisdiction, and report week [Dataset]. https://open.canada.ca/data/en/dataset/fa34dce5-66f7-4ae6-9d58-310008d9c2b7
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    csvAvailable download formats
    Dataset updated
    Nov 23, 2025
    Dataset provided by
    Public Health Agency Of Canadahttp://www.phac-aspc.gc.ca/
    License

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

    Description

    This dataset provides the cumulative number and percent of people who have received a COVID-19 vaccine by vaccine product, number of doses, jurisdiction, and report week. Variables include: - Jurisdiction ID number - Jurisdiction - Report week - Vaccine product - Cumulative number vaccinated with at least 1 dose - Cumulative number vaccinated with 2 doses - Cumulative proportion vaccinated with at least 1 dose - Cumulative proportion vaccinated with 2 doses For variable definitions, see the data dictionary. For details regarding data sources and limitations, see the technical notes section of the Canadian COVID-19 vaccination coverage report (https://health-infobase.canada.ca/covid-19/vaccination-coverage/technical-notes.html).

  3. Vaccine coverage estimates for recommended vaccines in children and pregnant...

    • www150.statcan.gc.ca
    • data.urbandatacentre.ca
    • +2more
    Updated Jun 12, 2023
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    Government of Canada, Statistics Canada (2023). Vaccine coverage estimates for recommended vaccines in children and pregnant women [Dataset]. http://doi.org/10.25318/1310087001-eng
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    Dataset updated
    Jun 12, 2023
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    Percentages of children and pregnant women who have received recommended vaccines, by target population and vaccine/antigen covering results from the 2011, 2013, 2015, 2017, 2019, and 2021 cycles of the Childhood National Immunization Coverage Survey.

  4. g

    Cumulative number and percent of people who have received a COVID-19 vaccine...

    • gimi9.com
    • data.urbandatacentre.ca
    • +1more
    Updated Feb 5, 2021
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    (2021). Cumulative number and percent of people who have received a COVID-19 vaccine in Canada by number of doses and jurisdiction [Dataset]. https://gimi9.com/dataset/ca_c0a2b80c-5027-4edf-ad90-9d2bec70b181/
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    Dataset updated
    Feb 5, 2021
    Area covered
    Canada
    Description

    This dataset provides the cumulative number and percent of people who have received a COVID-19 vaccine in Canada by report week, number of doses, and jurisdiction. Variables include: * Report week * Jurisdiction ID number * Jurisdiction * Cumulative number vaccinated with at least 1 dose * Cumulative number vaccinated with 2 doses * Cumulative proportion vaccinated with at least 1 dose * Cumulative proportion vaccinated with 2 doses For variable definitions, see the data dictionary. For details regarding data sources and limitations, see the technical notes section of the Canadian COVID-19 vaccination coverage report.

  5. Canadians' health and COVID-19, by age and gender, inactive

    • www150.statcan.gc.ca
    • datasets.ai
    • +2more
    Updated Jun 7, 2022
    + more versions
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    Government of Canada, Statistics Canada (2022). Canadians' health and COVID-19, by age and gender, inactive [Dataset]. http://doi.org/10.25318/1310080601-eng
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    Dataset updated
    Jun 7, 2022
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Area covered
    Canada
    Description

    This table presents a series of indicators relating to the COVID-19 pandemic, including relating to perceptions of Canadians' mental health, precautions they've taken, and willingness to receive vaccine. Estimates are based on preliminary monthly data from the Canadian Community Health Survey, and are provided for the Canadian population aged 12 and older excluding the territories, by gender, age and region of residence.

  6. g

    Cumulative number and percent of people in key populations who have received...

    • gimi9.com
    • data.urbandatacentre.ca
    • +1more
    Updated Feb 5, 2021
    + more versions
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    (2021). Cumulative number and percent of people in key populations who have received a COVID-19 vaccine in Canada, by number of doses and report week [Dataset]. https://gimi9.com/dataset/ca_41a48a22-86a7-4355-ac9e-7e47b8679c40/
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    Dataset updated
    Feb 5, 2021
    Area covered
    Canada
    Description

    "This dataset provides the cumulative number and percent of people in key populations who have received a COVID-19 vaccine in Canada, by number of doses and report week. Key populations are identified by the National Advisory Committee on Immunization and prioritized for early vaccination. Variables include: - Key population - Report week number - Report week - Cumulative number vaccinated with at least 1 dose - Cumulative number vaccinated with only 1 dose - Cumulative number vaccinated with 2 doses - Cumulative proportion vaccinated with at least 1 dose - Cumulative proportion vaccinated with only 1 dose - Cumulative proportion vaccinated with 2 doses For variable definitions, see the data dictionary. For details regarding data sources and limitations, see the technical notes section of the Canadian COVID-19 vaccination coverage report (https://health-infobase.canada.ca/covid-19/vaccination-coverage/technical-notes.html)."

  7. B

    Canadian COVID-19 Antibody and Health Survey, Cycle 2: SARS-CoV-2 Genetic...

    • borealisdata.ca
    • search.dataone.org
    Updated Oct 17, 2025
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    Statistics Canada (2025). Canadian COVID-19 Antibody and Health Survey, Cycle 2: SARS-CoV-2 Genetic Sequences [Dataset]. http://doi.org/10.5683/SP3/M2XJL5
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Oct 17, 2025
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    License

    https://borealisdata.ca/api/datasets/:persistentId/versions/2.2/customlicense?persistentId=doi:10.5683/SP3/M2XJL5https://borealisdata.ca/api/datasets/:persistentId/versions/2.2/customlicense?persistentId=doi:10.5683/SP3/M2XJL5

    Time period covered
    May 2022 - Sep 2022
    Area covered
    Canada
    Description

    This public use microdata file (PUMF) provides researchers access to data on the distribution of SARS-CoV-2 lineages detected in the Canadian provinces between May and September 2022. Samples were collected as part of the Canadian COVID-19 Antibody and Health Survey (CCAHS), Cycle 2. The PUMF consists of a subset of participants of the CCAHS who submitted a positive PCR saliva sample over the course of the collection of the survey. The PUMF contains select demographic information including sex at birth, age group, province and the week of collection. The file also contains SARS-CoV-2 whole genome sequences and its associated data. The source survey for this PUMF, the CCAHS, Cycle 2, collected information in two parts. The first part is an electronic questionnaire about general health and exposure to COVID-19. The second part is two self-administered sample collections; an at-home finger-prick sample collection called a dried blood spot (DBS) sample, which was used to measure the presence of antibodies against SARS-CoV-2, the virus that causes COVID-19, from vaccination or prior infection. The second at-home collection was a saliva sample which was used to determine if there was a recent or current SARS-CoV-2 infection at the time of sampling, by testing for viral material in the sample using a polymerase chain reaction (PCR) test. Participants were asked to complete both sample collections as soon as possible after the questionnaire. The data can be used to: Estimate how many Canadians test positive for antibodies against COVID-19. By using each participant's DBS samples combined with their survey responses, we can determine how many Canadians have antibodies against COVID-19 due to infection, vaccination or both. Provide a platform to explore emerging public health issues; Assist in the development of programs and services to respond to the needs of the current pandemic. Identify the estimated prevalence of infection on any given day during May to August 2022 in Canada.

  8. m

    Immunization, measles (% of children ages 12-23 months) - Canada

    • macro-rankings.com
    csv, excel
    Updated Sep 10, 2025
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    macro-rankings (2025). Immunization, measles (% of children ages 12-23 months) - Canada [Dataset]. https://www.macro-rankings.com/canada/immunization-measles-(-of-children-ages-12-23-months)
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    excel, csvAvailable download formats
    Dataset updated
    Sep 10, 2025
    Dataset authored and provided by
    macro-rankings
    License

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

    Area covered
    Canada
    Description

    Time series data for the statistic Immunization, measles (% of children ages 12-23 months) and country Canada. Indicator Definition:Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.The indicator "Immunization, measles (% of children ages 12-23 months)" stands at 92.00 as of 12/31/2024. Regarding the One-Year-Change of the series, the current value is equal to the value the year prior.The 1 year change in percent is 0.0.The 3 year change in percent is 2.22.The 5 year change in percent is 2.22.The 10 year change in percent is 2.22.The Serie's long term average value is 91.63. It's latest available value, on 12/31/2024, is 0.402 percent higher, compared to it's long term average value.The Serie's change in percent from it's minimum value, on 12/31/1987, to it's latest available value, on 12/31/2024, is +31.43%.The Serie's change in percent from it's maximum value, on 12/31/1994, to it's latest available value, on 12/31/2024, is -5.15%.

  9. C

    Canada CA: Immunization: Measles: % of Children Aged 12-23 Months

    • ceicdata.com
    Updated Oct 15, 2012
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    CEICdata.com (2012). Canada CA: Immunization: Measles: % of Children Aged 12-23 Months [Dataset]. https://www.ceicdata.com/en/canada/social-health-statistics/ca-immunization-measles--of-children-aged-1223-months
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    Dataset updated
    Oct 15, 2012
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 1, 2011 - Dec 1, 2022
    Area covered
    Canada
    Description

    Canada CA: Immunization: Measles: % of Children Aged 12-23 Months data was reported at 92.000 % in 2022. This records an increase from the previous number of 90.000 % for 2021. Canada CA: Immunization: Measles: % of Children Aged 12-23 Months data is updated yearly, averaging 92.000 % from Dec 1987 (Median) to 2022, with 36 observations. The data reached an all-time high of 97.000 % in 1996 and a record low of 70.000 % in 1987. Canada CA: Immunization: Measles: % of Children Aged 12-23 Months data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Canada – Table CA.World Bank.WDI: Social: Health Statistics. Child immunization, measles, measures the percentage of children ages 12-23 months who received the measles vaccination before 12 months or at any time before the survey. A child is considered adequately immunized against measles after receiving one dose of vaccine.;WHO and UNICEF (http://www.who.int/immunization/monitoring_surveillance/en/).;Weighted average;

  10. a

    Health indicator : childhood coverage rates

    • open.alberta.ca
    • data.urbandatacentre.ca
    • +2more
    + more versions
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    Health indicator : childhood coverage rates [Dataset]. https://open.alberta.ca/dataset/health-indicator-childhood-coverage-rates
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    Description

    The Childhood Immunization Coverage Rates are calculated based on the probability that a child will have received their age appropriate (based on date of birth) immunization dose(s) by ages one, two, seven, thirteen, or seventeen. Coverage rates are determined using the antigen proxy method, where immunizations for a particular antigen are used as proxies for the vaccine.

  11. Forecast: Measles Vaccination Rates Among Children in Canada 2022 - 2026

    • reportlinker.com
    Updated Apr 12, 2024
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    ReportLinker (2024). Forecast: Measles Vaccination Rates Among Children in Canada 2022 - 2026 [Dataset]. https://www.reportlinker.com/dataset/29dbf0d35fd0d2324d00afe1a5bcb4235025766b
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    Dataset updated
    Apr 12, 2024
    Dataset authored and provided by
    ReportLinker
    License

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

    Area covered
    Canada
    Description

    Forecast: Measles Vaccination Rates Among Children in Canada 2022 - 2026 Discover more data with ReportLinker!

  12. Influenza immunization, by age group and sex, household population aged 65...

    • www150.statcan.gc.ca
    • open.canada.ca
    • +1more
    Updated Feb 27, 2017
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    Government of Canada, Statistics Canada (2017). Influenza immunization, by age group and sex, household population aged 65 and over, Canada and provinces [Dataset]. http://doi.org/10.25318/1310052101-eng
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    Dataset updated
    Feb 27, 2017
    Dataset provided by
    Statistics Canadahttps://statcan.gc.ca/en
    Government of Canadahttp://www.gg.ca/
    Area covered
    Canada
    Description

    This table contains 4752 series, with data for years 1996 - 1996 (not all combinations necessarily have data for all years). This table contains data described by the following dimensions (not all combinations are available): Geography (11 items: Canada; Prince Edward Island; Nova Scotia; Newfoundland and Labrador ...), Age group (3 items: Total; 65 years and over; 65-74 years; 75 years and over ...), Sex (3 items: Both sexes; Men; Women ...), Influenza immunization (6 items: Total population for the variable influenza immunization; Influenza immunization; 2 or more years ago; Influenza immunization; 1 year to less than 2 years ago; Influenza immunization; less than 1 year ago ...), Characteristics (8 items: Number of persons; High 95% confidence interval - number of persons; Coefficient of variation for number of persons; Low 95% confidence interval - number of persons ...).

  13. Wildlife Damage - National Rabies Management Program

    • agdatacommons.nal.usda.gov
    bin
    Updated Nov 22, 2025
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    USDA Animal and Plant Health Inspection Service (2025). Wildlife Damage - National Rabies Management Program [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/Wildlife_Damage_-_National_Rabies_Management_Program/24661875
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    binAvailable download formats
    Dataset updated
    Nov 22, 2025
    Dataset provided by
    Animal & Plant Health Inspection Servicehttps://www.aphis.usda.gov/
    Authors
    USDA Animal and Plant Health Inspection Service
    License

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

    Description

    The National Rabies Management Program conducts ORV operations in many US states. State summaries, maps, and statistics for oral rabies vaccine distribution can be accessed through this database. Rabies is caused by a virus that infects the central nervous system in mammals. It is almost always transmitted through the bite of a rabid animal. The majority of rabies cases in the United States occur in wildlife including raccoons, skunks, foxes and bats. Rabies is invariably fatal, however, effective vaccines are available to protect people, pets and livestock. The National Rabies Management Program was established in recognition of the changing scope of rabies. The goal of the program is to prevent the further spread of wildlife rabies and eventually eliminate terrestrial rabies in the United States through an integrated program that involves the use of oral rabies vaccination targeting wild animals. Since, 1995, Wildlife Services (WS) has been working cooperatively with local, State, and Federal governments, universities and other partners to address this public health problem by distributing oral rabies vaccination (ORV) baits in targeted areas. This cooperative program targets the raccoon variant, canine variant in coyotes and a unique variant of gray fox rabies Resources in this dataset:Resource Title: ORV Information by State. File Name: Web Page, url: https://www.aphis.usda.gov/aphis/ourfocus/wildlifedamage/programs/nrmp/orv-information-by-state Links with resources including shapefiles, maps, and reports.

  14. Inclusion and exclusion criteria.

    • plos.figshare.com
    xls
    Updated May 22, 2025
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    Matilda Anim-Larbi; Vivian Puplampu; Sithokozile Maposa; Akram Mahani; Mary Chipanshi (2025). Inclusion and exclusion criteria. [Dataset]. http://doi.org/10.1371/journal.pone.0323186.t001
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    xlsAvailable download formats
    Dataset updated
    May 22, 2025
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Matilda Anim-Larbi; Vivian Puplampu; Sithokozile Maposa; Akram Mahani; Mary Chipanshi
    License

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

    Description

    IntroductionVaccine-preventable diseases continue to cause morbidity and mortality despite the introduction of childhood immunizations. Recent media reports from Canada and the United States of America (USA) have highlighted a rise in childhood illnesses like measles, which could have been prevented with vaccines. Parents play a pivotal role in ensuring their children receive timely vaccinations. Immunization reminders can help parents who forget or miss vaccination appointments. In the USA, current literature indicates that Black children have lower vaccination rates than other racialized children and vaccine reminders may improve measles vaccine uptake among Black parents. However, there is limited data in Canada on vaccine uptake in children of Black parents, with evidence suggesting vaccine hesitancy among the Black population.ObjectiveThis scoping review aims to map out existing literature on immunization reminder strategies among parents to identify their impact in improving childhood vaccination rates and promoting child health.Inclusion criteriaThe review will include studies conducted in Canada and the United States of America that focus on immunization reminders for parents who have children under six years and published in English between 2015 and 2025.MethodsDatabase and hand-searching of journals and gray literature will be carried out to retrieve pertinent articles. Studies that meet the inclusion criteria will be eligible for selection. The process of selecting eligible studies will then be summarized on a PRISMA-ScR chart. Collated in data-extraction tables will be authorship information, publication date, methods and findings. The findings, key arguments and themes will be analyzed using a thematic analysis and summarized using a narrative summary.ConclusionThis review will contribute to the existing knowledge on parental preferences for vaccine reminder strategies and their usefulness in increasing childhood vaccination rates. The findings will inform and improve public health strategies aimed at boosting vaccine uptake among children.

  15. N

    Healthcare Worker Influenza Immunization Rates

    • data.novascotia.ca
    • ouvert.canada.ca
    • +1more
    csv, xlsx, xml
    Updated May 7, 2024
    + more versions
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    (2024). Healthcare Worker Influenza Immunization Rates [Dataset]. https://data.novascotia.ca/w/ejsc-tb9w/default?cur=0gIMPPKlk2i&from=SD6IQKal0aD
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    xml, xlsx, csvAvailable download formats
    Dataset updated
    May 7, 2024
    License

    http://novascotia.ca/opendata/licence.asphttp://novascotia.ca/opendata/licence.asp

    Description

    Healthcare worker influenza immunization rates represents the influenza immunization rates for healthcare workers within the Nova Scotia Health Authority and the IWK. The rates are collected and reported annually by the health authorities. Healthcare workers who get the flu vaccine provide a layer of protection to themselves and to patients from getting influenza and help prevent influenza outbreaks. Measuring, monitoring, and reporting the rate of healthcare worker influenza immunization can assist hospitals with evaluating the effectiveness of their occupational health/infection prevention and control programs and explore ways to increase the number of healthcare workers who get the flu shot. Data fields include: Year, Health Authority, Health Authority Zone, Immunization Rate, Provincial Target

  16. u

    Participation in “My Why” social campaign and how you can share your...

    • data.urbandatacentre.ca
    • open.canada.ca
    Updated Oct 19, 2025
    + more versions
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    (2025). Participation in “My Why” social campaign and how you can share your vaccination story [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-dece87c1-175d-42fb-ba5c-48b56cdb5757
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    Dataset updated
    Oct 19, 2025
    License

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

    Description

    We are asking you to share, on your social media channel, your reason for getting vaccinated. Sharing your vaccination story can increase vaccine confidence amongst people in Canada. As more people get vaccinated, our communities become safer and we can all get back to the people, places and things we miss.

  17. f

    Data from: Incidence rates of narcolepsy diagnoses in Taiwan, Canada, and...

    • datasetcatalog.nlm.nih.gov
    • plos.figshare.com
    Updated Oct 17, 2018
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    Svenson, Lawrence W.; Mahmud, Salahddin M.; Naus, Monika; Black, Steven; Morros, Rosa; Murray, Brian J.; de Ridder, Maria; Pedersen, Lars; Puertas, Francisco Javier; Diez-Domingo, Javier; Perez-Vilar, Silvia; Weibel, Daniel; Arnheim-Dahlstrom, Lisen; Carleton, Bruce; Kwong, Jeffrey C.; Sturkenboom, Miriam; Dodd, Caitlin N.; Huang, Wan-Ting; Giner-Soriano, Maria (2018). Incidence rates of narcolepsy diagnoses in Taiwan, Canada, and Europe: The use of statistical simulation to evaluate methods for the rapid assessment of potential safety issues on a population level in the SOMNIA study [Dataset]. https://datasetcatalog.nlm.nih.gov/dataset?q=0000634665
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    Dataset updated
    Oct 17, 2018
    Authors
    Svenson, Lawrence W.; Mahmud, Salahddin M.; Naus, Monika; Black, Steven; Morros, Rosa; Murray, Brian J.; de Ridder, Maria; Pedersen, Lars; Puertas, Francisco Javier; Diez-Domingo, Javier; Perez-Vilar, Silvia; Weibel, Daniel; Arnheim-Dahlstrom, Lisen; Carleton, Bruce; Kwong, Jeffrey C.; Sturkenboom, Miriam; Dodd, Caitlin N.; Huang, Wan-Ting; Giner-Soriano, Maria
    Area covered
    Europe, Taiwan, Canada
    Description

    Background & objectivesVaccine safety signals require investigation, which may be done rapidly at the population level using ecological studies, before embarking on hypothesis-testing studies. Incidence rates were used to assess a signal of narcolepsy following AS03-adjuvanted monovalent pandemic H1N1 (pH1N1) influenza vaccination among children and adolescents in Sweden and Finland in 2010. We explored the utility of ecological data to assess incidence of narcolepsy following exposure to pandemic H1N1 virus or vaccination in 10 sites that used different vaccines, adjuvants, and had varying vaccine coverage.MethodsWe calculated incidence rates of diagnosed narcolepsy for periods defined by influenza virus circulation and vaccination campaign dates, and used Poisson regression to estimate incidence rate ratios (IRRs) comparing the periods during which wild-type virus circulated and after the start of vaccination campaigns vs. the period prior to pH1N1 virus circulation. We used electronic health care data from Sweden, Denmark, the United Kingdom, Canada (3 provinces), Taiwan, Netherlands, and Spain (2 regions) from 2003 to 2013. We investigated interactions between age group and adjuvant in European sites and conducted a simulation study to investigate how vaccine coverage, age, and the interval from onset to diagnosis may impact the ability to detect safety signals.ResultsIncidence rates of narcolepsy varied by age, continent, and period. Only in Taiwan and Sweden were significant time-period-by-age-group interactions observed. Associations were found for children in Taiwan (following pH1N1 virus circulation) and Sweden (following vaccination). Simulations showed that the individual-level relative risk of narcolepsy was underestimated using ecological methods comparing post- vs. pre-vaccination periods; this effect was attenuated with higher vaccine coverage and a shorter interval from disease onset to diagnosis.ConclusionsEcological methods can be useful for vaccine safety assessment but the results are influenced by diagnostic delay and vaccine coverage. Because ecological methods assess risk at the population level, these methods should be treated as signal-generating methods and drawing conclusions regarding individual-level risk should be avoided.

  18. u

    Health indicator : childhood coverage rates - Catalogue - Canadian Urban...

    • data.urbandatacentre.ca
    Updated Jul 24, 2024
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    (2024). Health indicator : childhood coverage rates - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/health-indicator-childhood-coverage-rates
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    Dataset updated
    Jul 24, 2024
    Description

    The Childhood Immunization Coverage Rates are calculated based on the probability that a child will have received their age appropriate (based on date of birth) immunization dose(s) by ages one, two, seven, thirteen, or seventeen. Coverage rates are determined using the antigen proxy method, where immunizations for a particular antigen are used as proxies for the vaccine.

  19. G

    Long-Term Care Home COVID-19 Data

    • open.canada.ca
    • data.ontario.ca
    csv, html, xlsx
    Updated Jun 25, 2025
    + more versions
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    Government of Ontario (2025). Long-Term Care Home COVID-19 Data [Dataset]. https://open.canada.ca/data/en/dataset/42df36df-04a0-43a9-8ad4-fac5e0e22244
    Explore at:
    xlsx, csv, htmlAvailable download formats
    Dataset updated
    Jun 25, 2025
    Dataset provided by
    Government of Ontario
    License

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

    Time period covered
    Apr 24, 2020 - Mar 30, 2023
    Description

    This dataset contains records of publicly reported data on COVID-19 testing in Ontario long-term care homes. It was collected between April 24, 2020 and March 30, 2023. Summary data is aggregated to the provincial level. Reports fewer than 5 are indicated with <5 to maintain the privacy of individuals. ##Data includes: * Long-term care home COVID-19 summary data * Long-term care homes with an active COVID-19 outbreak * Long-term care homes no longer in a COVID-19 outbreak * Long-term care home COVID-19 summary data by Public Health Unit (PHU) * Long-term care home COVID-19 staff vaccination rates An outbreak is defined as two or more lab-confirmed COVID-19 cases in residents, staff or other visitors in a home, with an epidemiological link, within a 14-day period, where at least one case could have reasonably acquired their infection in the long-term care home. Prior to April 7, 2021, the definition required one or more lab-confirmed COVID-19 cases in a resident or staff in the long-term care home. Notes February 21 to March 29, 2023: Data is only available for regular business days (for example, Monday through Friday, except statutory holidays) March 12 – 13, 2022: Due to technical difficulties, data is not available. September 8, 2022: The data dated September 6, 2022 represents data collected during the period of September 3, 4 and 5, 2022. October 6, 2022: The data dated October 5, 2022 represents data collected during the period of October 1, 2, 3 and 4, 2022. October 13, 2022: Due to technical difficulties, data for the date of October 9 is not available. October 20, 2022: Due to technical difficulties, data for the dates of October 15, 16 is not available. November 24, 2022: Due to technical difficulties, data is not available.

  20. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Health (2024). COVID-19 Vaccine Data in Ontario [Dataset]. https://data.ontario.ca/dataset/covid-19-vaccine-data-in-ontario

COVID-19 Vaccine Data in Ontario

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21 scholarly articles cite this dataset (View in Google Scholar)
csv(40072), xlsx(20450), csv(1303887), csv(18214), csv(49841043), csv(101259), txt(8365), xlsx(21260), csv(7350)Available download formats
Dataset updated
Dec 13, 2024
Dataset authored and provided by
Health
License

https://www.ontario.ca/page/open-government-licence-ontariohttps://www.ontario.ca/page/open-government-licence-ontario

Time period covered
Nov 14, 2024
Area covered
Ontario
Description

**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 **

As of January 26, 2023, the population counts are based on Statistics Canada’s 2021 estimates. The coverage methodology has been revised to calculate age based on the current date and deceased individuals are no longer included. The method used to count daily dose administrations has changed is now based on the date delivered versus the day entered into the data system. Historical data has been updated.

Please note that Cases by Vaccination Status data will no longer be published as of June 30, 2022.

Please note that case rates by vaccination status and age group data will no longer be published as of July 13, 2022.

Please note that Hospitalization by Vaccination Status data will no longer be published as of June 30, 2022.

Learn more about COVID-19 vaccines.

Data includes:

  • daily and total doses administered
  • individuals with at least one dose
  • individuals fully vaccinated
  • total doses given to fully vaccinated individuals
  • vaccinations by age
  • percentage of age group
  • individuals with at least one dose, by PHU, by age group
  • individuals fully vaccinated, by PHU, by age group
  • COVID-19 cases by status: not fully vaccinated, fully vaccinated, vaccinated with booster
  • individuals in hospital due to COVID-19 (excluding ICU) by status: unvaccinated, partially vaccinated, fully vaccinated
  • individuals in ICU due to COVID-19 by status: unvaccinated, partially vaccinated, fully vaccinated, unknown
  • rate of COVID-19 cases per 100,000 by status and age group
  • rate per 100,000 (7-day average) by status and age group

All data reflects totals from 8 p.m. the previous day.

This dataset is subject to change.

Additional notes

  • Data entry of vaccination records is still in progress, therefore the dosage data may not be a full representation of all vaccination doses administered in Ontario.
  • The data does not include dosage data where consent was not provided for vaccination records to be entered into the provincial CoVax system. This includes individual records as well as records from some Indigenous communities where those communities have not consented to including vaccination information into CoVax.

Hospitalizations and cases by vaccination status

Hospitalizations

  • This is a new data collection and the data quality will continue to improve as hospitals continue to submit data.
  • In order to understand the vaccination status of patients currently hospitalized, a new data collection process was developed and this may cause discrepancies between other hospitalization numbers being collected using a different data collection process.
  • Data on patients in ICU are being collected from two different data sources with different extraction times and public reporting cycles. The existing data source (Critical Care Information System, CCIS) does not have vaccination status.
  • Historical data for hospitalizations by region may change over time as hospitals update previously entered data.
  • Due to incomplete weekend and holiday reporting, vaccination status data for hospital and ICU admissions is not updated on Sundays, Mondays and the day after holidays
  • Unvaccinated is defined as not having any dose, or between 0-13 days after administration of the first dose of a COVID-19 vaccine.
  • Partially vaccinated is defined as 14 days or more after the first dose of a 2-dose series COVID-19 vaccine, or between 0-13 days after administration of the second dose
  • Fully vaccinated is defined as 14 days or more after receipt of the second dose of a 2-dose series COVID-19 vaccine

Cases

  • The cases by vaccination status may not match the daily COVID-19 case count because records with a missing or invalid health card number cannot be linked.
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