17 datasets found
  1. Breakdown of COVID-19 positive hospital admissions

    • open.canada.ca
    • data.ontario.ca
    csv, html
    Updated Nov 12, 2025
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    Government of Ontario (2025). Breakdown of COVID-19 positive hospital admissions [Dataset]. https://open.canada.ca/data/en/dataset/8033f5df-6db8-41fe-921a-5f1160b4d75b
    Explore at:
    csv, htmlAvailable 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
    Jan 10, 2022 - Nov 14, 2024
    Description

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

  2. o

    COVID-19 cases in hospital and ICU, by Ontario Health (OH) region

    • data.ontario.ca
    • gimi9.com
    • +1more
    csv
    Updated Dec 13, 2024
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    Health (2024). COVID-19 cases in hospital and ICU, by Ontario Health (OH) region [Dataset]. https://data.ontario.ca/dataset/covid-19-cases-in-hospital-and-icu-by-ontario-health-region
    Explore at:
    csv(420583)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

    This dataset compiles daily snapshots of publicly reported data on 2019 Novel Coronavirus (COVID-19) testing in Ontario.

    Learn how the Government of Ontario is helping to keep Ontarians safe during the 2019 Novel Coronavirus outbreak.

    Data includes:

    • date
    • OH region
    • current hospitalizations with COVID-19
    • current patients in Intensive Care Units (ICUs) due to COVID-related critical Illness
    • current patients in Intensive Care Units (ICUs) testing positive for COVID
    • current patients in Intensive Care Units (ICUs) no longer testing positive for COVID
    • current patients in Intensive Care Units (ICUs) on ventilators due to COVID-related critical illness
    • current patients in Intensive Care Units (ICUs) on ventilators testing positive for COVID
    • current patients in Intensive Care Units (ICUs) on ventilators no longer testing positive for COVID

    **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 **

    Additional notes

    Data for the period of October 24, 2023 to March 24, 2024 excludes hospitals in the West region who were experiencing data availability issues.

    Daily adult, pediatric, and neonatal patient ICU census data were impacted by technical issues between September 9 and October 20, 2023. As a result, when public reporting resumes on November 16, 2023, historical ICU data for this time period will be excluded.

    As of August 3, 2023, the data in this file has been updated to reflect that there are now six Ontario Health (OH) regions.

    This dataset is subject to change. Please review the daily epidemiologic summaries for information on variables, methodology, and technical considerations.

  3. COVID-19 Vaccine Data in Ontario

    • open.canada.ca
    • datasets.ai
    • +1more
    csv, html, txt, xlsx
    Updated Nov 12, 2025
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    Government of Ontario (2025). COVID-19 Vaccine Data in Ontario [Dataset]. https://open.canada.ca/data/dataset/752ce2b7-c15a-4965-a3dc-397bf405e7cc
    Explore at:
    csv, txt, 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
    Dec 16, 2020 - Nov 21, 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.

  4. Data from: Estimated Deaths, Intensive Care Admissions and Hospitalizations...

    • figshare.com
    xlsx
    Updated Feb 28, 2023
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    David Fisman (2023). Estimated Deaths, Intensive Care Admissions and Hospitalizations Averted in Canada during the COVID-19 Pandemic [Dataset]. http://doi.org/10.6084/m9.figshare.14036549.v3
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    xlsxAvailable download formats
    Dataset updated
    Feb 28, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    David Fisman
    License

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

    Area covered
    Canada
    Description

    These datasets explore disparities in COVID-19 mortality observed in the US and Canada between January 2020 and early March 2021. Table 1 provides counts of deaths, hospitalizations, ICU admissions, and cases, by age, for Ontario, Canada (Canada's most populous province).

    Table 2 estimates deaths averted by Canada's response to the COVID-19 pandemic, relative to that in the United States, by "Canada-standardizing" the US epidemic (i.e., by applying US age-specific mortality to Canadian populations, in order to estimate the deaths that would have occurred in a Canadian pandemic with the same rates of death as have been observed in the US). Observed Canadian deaths are compared to "expected" deaths with a US-like response in order to estimate both deaths averted and SMR (Table 2).

    As Canadian age groups for purposes of death reporting are slightly different from those used in the US (e.g., 0-17 in the US vs. 0-19 in Canada), we reallocate Canadian deaths based on proportions of deaths occurring in 2-year age categories in Ontario (Table 1).

    Ontario age-specific case-fatality is used to inflate the deaths averted, in order to estimate cases averted. Ontario age-specific hospitalization and ICU risk (again derived from Table 1) are used to estimate hospitalizations and ICU admissions averted (Table 2).

    As of August 9, 2022, a new dataset has been added which applies the methodology described above to compare deaths in Canada to those in the United Kingdom, France, and Australia. Estimates of QALY loss, and healthcare costs averted, have also been added. Uncertainty bounds are estimated either as parametric confidence intervals, or as upper and lower bound 95% credible intervals through simulation (implemented using the random draw funding in Microsoft Excel).

    Errors in confidence intervals for QALY losses in France and Australia corrected February 28, 2023.

  5. Status of COVID-19 cases in Ontario

    • open.canada.ca
    • data.ontario.ca
    • +1more
    csv, html, xlsx
    Updated Nov 12, 2025
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    Government of Ontario (2025). Status of COVID-19 cases in Ontario [Dataset]. https://open.canada.ca/data/en/dataset/f4f86e54-872d-43f8-8a86-3892fd3cb5e6
    Explore at:
    csv, xlsx, htmlAvailable 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
    Jan 26, 2020 - Nov 7, 2024
    Area covered
    Ontario
    Description

    Status of COVID-19 cases in Ontario This dataset compiles daily snapshots of publicly reported data on 2019 Novel Coronavirus (COVID-19) testing in Ontario. Learn how the Government of Ontario is helping to keep Ontarians safe during the 2019 Novel Coronavirus outbreak. Effective April 13, 2023, this dataset will be discontinued. The public can continue to access the data within this dataset in the following locations updated weekly on the Ontario Data Catalogue: * Ontario COVID-19 testing percent positive by age group * Confirmed positive cases of COVID-19 in Ontario * Ontario COVID-19 testing metrics by Public Health Unit (PHU) * Ontario COVID-19 testing percent positive by age group * COVID-19 cases in hospital and ICU, by Ontario Health (OH) region * Cumulative deaths (new methodology) * Deaths Involving COVID-19 by Fatality Type For information on Long-Term Care Home COVID-19 Data, please visit: Long-Term Care Home COVID-19 Data. Data includes: * reporting date * daily tests completed * total tests completed * test outcomes * total case outcomes (resolutions and deaths) * current tests under investigation * current hospitalizations * current patients in Intensive Care Units (ICUs) due to COVID-related critical Illness * current patients in Intensive Care Units (ICUs) testing positive for COVID-19 * current patients in Intensive Care Units (ICUs) no longer testing positive for COVID-19 * current patients in Intensive Care Units (ICUs) on ventilators due to COVID-related critical illness * current patients in Intensive Care Units (ICUs) on ventilators testing positive for COVID-19 * current patients in Intensive Care Units (ICUs) on ventilators no longer testing positive for COVID-19 * Long-Term Care (LTC) resident and worker COVID-19 case and death totals * Variants of Concern case totals * number of new deaths reported (occurred in the last month) * number of historical deaths reported (occurred more than one month ago) * change in number of cases from previous day by Public Health Unit (PHU). This dataset is subject to change. Please review the daily epidemiologic summaries for information on variables, methodology, and technical considerations. ##Cumulative Deaths **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 ** The methodology used to count COVID-19 deaths has changed to exclude deaths not caused by COVID. This impacts data captured in the columns “Deaths”, “Deaths_Data_Cleaning” and “newly_reported_deaths” starting with data for March 11, 2022. A new column has been added to the file “Deaths_New_Methodology” which represents the methodological change. The method used to count COVID-19 deaths has changed, effective December 1, 2022. Prior to December 1, 2022, deaths were counted based on the date the death was updated in the public health unit’s system. Going forward, deaths are counted on the date they occurred. 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. A small number of COVID deaths (less than 20) do not have recorded death date and will be excluded from this file. 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. ##Related dataset(s) * Confirmed positive cases of COVID-19 in Ontario

  6. In-hospital use of chemical and physical restraints among older adults at...

    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Aaron Jones; Zahra Goodarzi; Justin Lee; Richard Norman; Eric Wong; Monidipa Dasgupta; Barbara Liu; Jennifer Watt (2023). In-hospital use of chemical and physical restraints among older adults at the onset of the COVID-19 pandemic. [Dataset]. http://doi.org/10.1371/journal.pone.0276504.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Aaron Jones; Zahra Goodarzi; Justin Lee; Richard Norman; Eric Wong; Monidipa Dasgupta; Barbara Liu; Jennifer Watt
    License

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

    Description

    In-hospital use of chemical and physical restraints among older adults at the onset of the COVID-19 pandemic.

  7. o

    COVID-19 Cases and Deaths Ottawa (Historical data)

    • open.ottawa.ca
    • hub.arcgis.com
    • +1more
    Updated Jul 7, 2022
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    City of Ottawa (2022). COVID-19 Cases and Deaths Ottawa (Historical data) [Dataset]. https://open.ottawa.ca/datasets/81a6b8a6d2824ebd8cfddd933ab043c4
    Explore at:
    Dataset updated
    Jul 7, 2022
    Dataset authored and provided by
    City of Ottawa
    License

    https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0https://ottawa.ca/en/city-hall/get-know-your-city/open-data#open-data-licence-version-2-0

    Area covered
    Ottawa
    Description

    Effective June 7th, 2024, this dataset will no longer be updated.This file contains data on:

    1. Cumulative count of Ottawa residents with laboratory-confirmed COVID-19 by episode date (i.e. the earliest of symptom onset, testing or reported date), including active cases and resolved cases.

    2. Cumulative count of Ottawa residents with laboratory-confirmed COVID-19 who died by date of death.

    3. Daily count of Ottawa residents with laboratory-confirmed COVID-19 by reported date and episode date.

    4. Daily count of Ottawa residents with laboratory-confirmed COVID-19 by outbreak association and episode date.

    5. Daily count of Ottawa residents with laboratory-confirmed COVID-19 newly admitted to the hospital, currently in hospital, and currently in the intensive care unit (ICU).

    6. Cumulative rate of confirmed COVID-19 for Ottawa residents by age group and episode date.

    7. Cumulative rate of confirmed COVID-19 for Ottawa residents by gender and episode date.

    8. Daily count of Ottawa residents with laboratory-confirmed COVID-19 by source of infection and episode date.

    Data are from the Ontario Ministry of Health Public Health Case and Contact Management Solution (CCM).

    Accuracy: Points of consideration for interpretation of the data:

    The percent of cases with no known epidemiological (epi) link, during the current day and previous 13 days, is calculated as the number of cases with no known epi link among all cases. The percent of cases with no known epi link is unstable during time periods with few cases.

    Source of infection is based on a case's epidemiologic linkage. If no epidemiologic linkage is identified, source of infection is allocated using a hierarchy of risk factors: related to travel prior to April 1, 2020 > part of an outbreak > close or household contact of a known case > related to travel since April 1, 2020 > unspecified epidemiological link > no known source of infection > no information available.

    Data are entered into and extracted by Ottawa Public Health from the Ontario Ministry of Health Public Health Case and Contact Management Solution (CCM). The CCM is a dynamic disease reporting system that allows for ongoing updates; data represent a snapshot at the time of extraction and may differ from previous or subsequent reports.

    As the cases are investigated and more information is available, the dates are updated.

    A person’s exposure may have occurred up to 14 days prior to onset of symptoms. Symptomatic cases occurring in approximately the last 14 days are likely under-reported due to the time for individuals to seek medical assessment, availability of testing, and receipt of test results.

    Confirmed cases are those with a confirmed COVID-19 laboratory result as per the Ministry of Health Public health management of cases and contacts of COVID-19 in Ontario. March 25, 2020 version 6.0.

    Counts will be subject to varying degrees of underreporting due to a variety of factors, such as disease awareness and medical care seeking behaviours, which may depend on severity of illness, clinical practice, changes in laboratory testing, and reporting behaviours.

    Data on hospital admissions, ICU admissions and deaths are likely under-reported as these events may occur after the completion of public health follow up of cases. Cases that were admitted to hospital or died after follow-up was completed may not be captured in iPHIS or local health unit reporting tools.

    Cases are associated with a specific, isolated community outbreak; an institutional outbreak (e.g. healthcare, childcare, education); or no known outbreak (i.e., sporadic).

    The distribution of the source of infection among confirmed cases is impacted by the provincial guidance on testing.

    Surveillance testing for COVID-19 began in long term care facilities on April 25, 2020.

    Source of infection is allocated using a hierarchy: Related to travel prior to April 1, 2020 > Close contact of a known case or part of a community outbreak or source of infection is an institutional outbreak > Related to travel since April 1, 2020 > No known source of infection > Missing.

    The percent of cases with unknown source, during the current day and previous 13 days, is calculated as the number of cases with no known source among cases who source of infection is not an institutional outbreak. Calculated over a 14 day period (i.e. the day of interest and the preceding 13 days). The percent of cases with no known source is unstable during time periods with few cases.

    Update Frequency: Wednesdays

    Attributes: Data fields:

    Data fields:

    Date – Date in format YYYY-MM-DD H:MM. The date type varies based on the column of interest and could be:

     - Episode date – Earliest of
    

    symptom onset, test or reported date for cases;

     - Date of death – The date
    

    the person was reported to have died

     - Reported date – Date the
    

    confirmed laboratory results were reported to Ottawa Public Health

     - Hospitalization date
    

    Cumulative Cases by Episode Date – cumulative number of Ottawa residents with laboratory-confirmed COVID-19 by episode date. Cumulative Resolved Cases by Episode Date – cumulative number of Ottawa residents with laboratory-confirmed COVID-19 that have not died and are either (1) assessed as ‘recovered’ in The CCM or (2) 14 days past their episode date and not currently hospitalized. Cumulative Active Cases by Episode Date– cumulative number of Ottawa residents with an active COVID-19 infection. Calculated as the total number of Ottawa residents with COVID-19 excluding resolved and deceased cases. Cumulative Deaths by Date of Death - cumulative number of Ottawa residents with laboratory-confirmed COVID-19 who died by date of death. Deaths are included whether or not COVID-19 was determined to be a contributing or underlying cause of death. Daily Cases by Reported Date – number of Ottawa residents with laboratory-confirmed COVID-19 by reported date 7-Day Average of Newly Reported Cases by Reported Date – number of Ottawa residents with laboratory-confirmed COVID-19 by reported date. Calculated over a 7 day period (i.e. the day of interest and the preceding 6 days). Daily Cases by Episode Date - number of Ottawa residents with laboratory-confirmed COVID-19 by episode date. Daily Cases Linked to a Community Outbreak by Episode Date – number of Ottawa residents with laboratory-confirmed COVID-19 associated with a specific isolated community outbreak by episode date. Daily Cases Linked to an Institutional Outbreak – number of Ottawa residents with laboratory-confirmed COVID-19 associated with a COVID-19 outbreak in a healthcare, childcare or educational establishment by case episode date. Healthcare institutions include places such as long-term care homes, retirement homes, hospitals, other healthcare institutions (e.g. group homes, shelters). Daily Cases Not Linked to an Institutional Outbreak (i.e. Sporadic Cases) – number of Ottawa residents with laboratory-confirmed COVID-19 not associated to an outbreak of COVID-19. Cases Newly Admitted to Hospital – Daily number of Ottawa residents with confirmed COVID-19 admitted to hospital. Emergency room visits are not included in the number of hospital admissions. Cases Currently in Hospital – Number of Ottawa residents with confirmed COVID-19 currently in hospital, includes patients in intensive care. Emergency room visits are not included in the number of hospitalizations. Cases Currently in ICU - Number of Ottawa residents with confirmed COVID-19 currently being treated in the intensive care unit (ICU). It is a subset of the count of hospitalized cases. Cumulative Rate of COVID-19 by 10-year Age Groupings (per 100,000 pop) and Episode Date – The number of Ottawa residents with confirmed COVID-19 within an age group (e.g. 0-9 years) divided by the total Ottawa population for that age group. This fraction is then multiplied by 100,000 to get a rate of COVID-19 per 100,000 population for that age group. Cumulative Rate of COVID-19 by Gender (per 100,000 pop) and Episode Date – The number of Ottawa residents with confirmed COVID-19 of a given gender (e.g. female) divided by the total Ottawa population for that gender. This fraction is then multiplied by 100,000 to get a rate of COVID-19 per 100,000 population for that gender. Source of infection is travel by episode date: individuals who are most likely to have acquired their infection during out-of-province travel. Number of cases with missing information on source of infection by episode date: assessment for source of infection was not completed. Number of cases with no known epidemiological link by episode date: individuals who did not travel outside Ontario, are not part of an outbreak, and are not able to identify someone with COVID-19 from whom they might have acquired infection. The assessment for source of infection was completed, but no sources were identified. Source of infection is a close contact by episode date: individuals presumed to have acquired their infection following close contact (e.g. household member, friend, relative) with an individual with confirmed COVID-19. Source of infection is an outbreak by episode date: individuals who are most likely to have acquired their infection as part of a confirmed COVID-19 outbreak. Source of Infection is Unknown by Episode Date: Ottawa residents with confirmed COVID-19 who did not travel outside

  8. Characterizing the clinical and economic burden of COVID-19 among...

    • tandf.figshare.com
    pdf
    Updated May 12, 2025
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    Christina Qian; Karissa M. Johnston; Maria Tinajero; M. Lauren Voss; Austin Nam; Mackenzie A. Hamilton (2025). Characterizing the clinical and economic burden of COVID-19 among individuals with immunocompromising conditions in Ontario, Canada – a matched, population-based observational study [Dataset]. http://doi.org/10.6084/m9.figshare.28694913.v1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    May 12, 2025
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Christina Qian; Karissa M. Johnston; Maria Tinajero; M. Lauren Voss; Austin Nam; Mackenzie A. Hamilton
    License

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

    Area covered
    Canada, Ontario
    Description

    COVID-19 continues to be associated with substantial burden among immunocompromised patients (IC). This study aimed to describe and compare outcomes during and following COVID-19 hospitalizations among IC and non-IC patients. Patients hospitalized with COVID-19 (January 2020–March 2023) were identified in Ontario health administrative claims databases. All eligible IC (≥1 of solid organ or stem cell transplant; hematological malignancy; rheumatoid arthritis; multiple sclerosis; or primary immunodeficiency) were matched (1:4) to eligible non-IC. Clinical, resource, and costburden were assessed during and post-hospitalization. Multivariate regression models were used to estimate relative risks (RRi), rates (RRa), and corresponding 95% confidence intervals (CIs), adjusting for neighborhood deprivation, long-term care residency, baseline comorbidities, and COVID-19 vaccination status. 9,283 IC hospitalized (mean age 68.7 years; 52.1% female) were matched to 37,127 non-IC. During index hospitalization, IC had greater risks of intensive care unit admission (RRi = 1.06 [1.01–1.12]), ventilation (RRi = 1.27 [1.19–1.36]), and all-cause mortality (RRi = 1.34 [1.27–1.41]) compared to non-IC. Within 30-days post-discharge, IC had greater rates of all-cause readmission (RRa = 1.33 [1.26–1.40]), emergency departments admission (RRa = 1.13 [1.08–1.18]), home oxygen use (RRi = 1.35 [1.15–1.58]), and COVID-19-related rehabilitation (RRa = 1.52 [1.22–1.89]), resulting in 21% (16%–25%) and 51% (45%–58%) greater costs in hospital and post-discharge, respectively. All-cause mortality remained approximately 5% higher for IC vs. non-IC at 30- and 60-days post-discharge (p 

  9. u

    Status of COVID-19 cases in Ontario - Catalogue - Canadian Urban Data...

    • data.urbandatacentre.ca
    Updated Oct 19, 2025
    + more versions
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    (2025). Status of COVID-19 cases in Ontario - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-f4f86e54-872d-43f8-8a86-3892fd3cb5e6
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    Dataset updated
    Oct 19, 2025
    Area covered
    Canada, Ontario
    Description

    Status of COVID-19 cases in Ontario This dataset compiles daily snapshots of publicly reported data on 2019 Novel Coronavirus (COVID-19) testing in Ontario. Learn how the Government of Ontario is helping to keep Ontarians safe during the 2019 Novel Coronavirus outbreak. Effective April 13, 2023, this dataset will be discontinued. The public can continue to access the data within this dataset in the following locations updated weekly on the Ontario Data Catalogue: * Ontario COVID-19 testing percent positive by age group * Confirmed positive cases of COVID-19 in Ontario * Ontario COVID-19 testing metrics by Public Health Unit (PHU) * Ontario COVID-19 testing percent positive by age group * COVID-19 cases in hospital and ICU, by Ontario Health (OH) region * Cumulative deaths (new methodology) * Deaths Involving COVID-19 by Fatality Type For information on Long-Term Care Home COVID-19 Data, please visit: Long-Term Care Home COVID-19 Data. Data includes: * reporting date * daily tests completed * total tests completed * test outcomes * total case outcomes (resolutions and deaths) * current tests under investigation * current hospitalizations * current patients in Intensive Care Units (ICUs) due to COVID-related critical Illness * current patients in Intensive Care Units (ICUs) testing positive for COVID-19 * current patients in Intensive Care Units (ICUs) no longer testing positive for COVID-19 * current patients in Intensive Care Units (ICUs) on ventilators due to COVID-related critical illness * current patients in Intensive Care Units (ICUs) on ventilators testing positive for COVID-19 * current patients in Intensive Care Units (ICUs) on ventilators no longer testing positive for COVID-19 * Long-Term Care (LTC) resident and worker COVID-19 case and death totals * Variants of Concern case totals * number of new deaths reported (occurred in the last month) * number of historical deaths reported (occurred more than one month ago) * change in number of cases from previous day by Public Health Unit (PHU). This dataset is subject to change. Please review the daily epidemiologic summaries for information on variables, methodology, and technical considerations. ##Cumulative Deaths 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 The methodology used to count COVID-19 deaths has changed to exclude deaths not caused by COVID. This impacts data captured in the columns “Deaths”, “Deaths_Data_Cleaning” and “newly_reported_deaths” starting with data for March 11, 2022. A new column has been added to the file “Deaths_New_Methodology” which represents the methodological change. The method used to count COVID-19 deaths has changed, effective December 1, 2022. Prior to December 1, 2022, deaths were counted based on the date the death was updated in the public health unit’s system. Going forward, deaths are counted on the date they occurred. 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. A small number of COVID deaths (less than 20) do not have recorded death date and will be excluded from this file. 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. ##Related dataset(s) * Confirmed positive cases of COVID-19 in Ontario

  10. u

    Breakdown of COVID-19 positive hospital admissions - Catalogue - Canadian...

    • data.urbandatacentre.ca
    Updated Oct 19, 2025
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    (2025). Breakdown of COVID-19 positive hospital admissions - Catalogue - Canadian Urban Data Catalogue (CUDC) [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-8033f5df-6db8-41fe-921a-5f1160b4d75b
    Explore at:
    Dataset updated
    Oct 19, 2025
    Description

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

  11. Rate of hospitalization in Canada 2010-2024

    • statista.com
    Updated May 22, 2025
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    Statista (2025). Rate of hospitalization in Canada 2010-2024 [Dataset]. https://www.statista.com/statistics/497098/canada-hospitalization-rate/
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    Dataset updated
    May 22, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    In the fiscal year no to no, the hospitalization rate in Canada stood at ***** hospitalizations per 100,000 population. Since no, the rate at which people were hospitalized in Canada has gradually decreased. Hospitalization rates saw a sharp drop in the beginning of the COVID pandemic and stabilized somewhat.

  12. Data Sheet 1_Disproportionate impact of the COVID-19 pandemic on socially...

    • frontiersin.figshare.com
    docx
    Updated Jun 11, 2025
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    Zahra Movahedi Nia; Cheryl Prescod; Michelle Westin; Patricia Perkins; Mary Goitom; Kesha Fevrier; Sylvia Bawa; Jude Dzevela Kong (2025). Data Sheet 1_Disproportionate impact of the COVID-19 pandemic on socially vulnerable communities: the case of Jane and Finch in Toronto, Ontario.docx [Dataset]. http://doi.org/10.3389/fpubh.2025.1448812.s001
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    docxAvailable download formats
    Dataset updated
    Jun 11, 2025
    Dataset provided by
    Frontiers Mediahttp://www.frontiersin.org/
    Authors
    Zahra Movahedi Nia; Cheryl Prescod; Michelle Westin; Patricia Perkins; Mary Goitom; Kesha Fevrier; Sylvia Bawa; Jude Dzevela Kong
    License

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

    Area covered
    Jane and Finch, Toronto, Ontario
    Description

    ObjectiveThis work aims to study the disproportionate impact of the COVID-19 pandemic on the Jane and Finch community, one of the socially vulnerable neighborhoods in the Greater Toronto Area (GTA), Ontario, Canada, in terms of morbidity, mortality, and healthcare services.MethodologyA dataset provided by the Black Creek Community Health Centre (BCCHC), gathered from different health-related portals, covering various health statistics during COVID-19, namely, COVID-19 number of cases, hospitalizations, deaths, percentage of vaccination with one-, two-, and three-dose(s), Primary and Preventive Care (PPC) visits which include fecal and pap-smear cancer tests, and percentage of completed Imaging, Procedures, and Surgeries (IPS) which include the number of patients waiting for surgery were studied using statistical analysis. Underserved communities in the Peel, York, and City of Toronto regions were recognized using the Ontario Marginalized Index (ON-Marg). The Jane and Finch community was selected from the fifth quintile of the ON-Marg index and compared with the remaining locations (first to fourth ON-Marg quantiles) using Kruskal-Wallis, Mann–Whitney u, and t-tests. The Gini index was used to understand the inequality of the health parameters among the selected neighborhoods. Local Indicator of Spatial Association (LISA) was used to detect the neighborhoods with significantly higher numbers of COVID-19 cases, hospitalizations, and mortalities.ResultsThe Jane and Finch community had a significantly (p

  13. Admission characteristics.

    • plos.figshare.com
    xls
    Updated Jun 16, 2023
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    Steven Habbous; Susy Hota; Vanessa G. Allen; Michele Henry; Erik Hellsten (2023). Admission characteristics. [Dataset]. http://doi.org/10.1371/journal.pone.0287395.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 16, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Steven Habbous; Susy Hota; Vanessa G. Allen; Michele Henry; Erik Hellsten
    License

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

    Description

    IntroductionPopulation-level surveillance systems have demonstrated reduced transmission of non-SARS-CoV-2 respiratory viruses during the COVID-19 pandemic. In this study, we examined whether this reduction translated to reduced hospital admissions and emergency department (ED) visits associated with influenza, respiratory syncytial virus (RSV), human metapneumovirus, human parainfluenza virus, adenovirus, rhinovirus/enterovirus, and common cold coronavirus in Ontario.MethodsHospital admissions were identified from the Discharge Abstract Database and exclude elective surgical admissions and non-emergency medical admissions (January 2017-March 2022). Emergency department (ED) visits were identified from the National Ambulatory Care Reporting System. International Classification of Diseases (ICD-10) codes were used to classify hospital visits by virus type (January 2017-May 2022).ResultsAt the onset of the COVID-19 pandemic, hospitalizations for all viruses were reduced to near-trough levels. Hospitalizations and ED visits for influenza (9,127/year and 23,061/year, respectively) were nearly absent throughout the pandemic (two influenza seasons; April 2020-March 2022). Hospitalizations and ED visits for RSV (3,765/year and 736/year, respectively) were absent for the first RSV season during the pandemic, but returned for the 2021/2022 season. This resurgence of hospitalizations for RSV occurred earlier in the season than expected, was more likely among younger infants (age ≤6 months), more likely among older children (aged 6.1–24 months), and less likely to comprise of patients residing in higher areas of ethnic diversity (p

  14. COVID-19 hospitalizations of dialysis patients (including intensive care...

    • plos.figshare.com
    xls
    Updated Jun 5, 2023
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    Mohammadali Tofighi; Ali Asgary; Asad A. Merchant; Mohammad Ali Shafiee; Mahdi M. Najafabadi; Nazanin Nadri; Mehdi Aarabi; Jane Heffernan; Jianhong Wu (2023). COVID-19 hospitalizations of dialysis patients (including intensive care unit admissions) and associated characteristics in Ontario and Canada (January to March 2020). [Dataset]. http://doi.org/10.1371/journal.pone.0259970.t001
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    xlsAvailable download formats
    Dataset updated
    Jun 5, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Mohammadali Tofighi; Ali Asgary; Asad A. Merchant; Mohammad Ali Shafiee; Mahdi M. Najafabadi; Nazanin Nadri; Mehdi Aarabi; Jane Heffernan; Jianhong Wu
    License

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

    Area covered
    Canada, Ontario
    Description

    COVID-19 hospitalizations of dialysis patients (including intensive care unit admissions) and associated characteristics in Ontario and Canada (January to March 2020).

  15. f

    Demographics of patients at 24-months follow-up.

    • plos.figshare.com
    xls
    Updated Oct 10, 2025
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    Marla Beauchamp; Christopher Farley; Renata Kirkwood; Aaron Jones; Terence Ho; MyLinh Duong; Parminder Raina; Jinhui Ma (2025). Demographics of patients at 24-months follow-up. [Dataset]. http://doi.org/10.1371/journal.pone.0334212.t001
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    xlsAvailable download formats
    Dataset updated
    Oct 10, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Marla Beauchamp; Christopher Farley; Renata Kirkwood; Aaron Jones; Terence Ho; MyLinh Duong; Parminder Raina; Jinhui Ma
    License

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

    Description

    IntroductionCOVID-19 infection can lead to multi-organ dysfunction, which has been shown to contribute to the physical disability seen in people after hospital discharge. We aimed to understand the effects of hospitalization for COVID-19 on mobility, cognition, and daily activities over 24-months of follow up.Materials and methodsThis was a 24-month extension of the COREG-FR prospective cohort study (NCT04602260). We enrolled consecutive adult patients (≥18 years) with lab confirmed SARS-Cov-2 infection who were admitted to five Ontario, Canada hospitals between August 21, 2020, and December 21, 2021. Patients were excluded if they resided in an institution (e.g., long term care facility), had severe premorbid physical function limitations (e.g., unable to stand independently) or had cognitive impairment which limited their ability to complete follow-up assessment. We assessed mobility and cognitive status using the Activity Measure for Post-Acute Care (AM-PAC) Basic Mobility Domain and Cognitive Domain, respectively. Deficits from premorbid status were determined using the minimal clinically important differences in mobility (≥ 3.3) and cognition (≥ 5.5). We also asked participants how much their COVID-19 recovery affected their daily activities within the preceding week with response options from ‘not at all’ to ‘all the time’.ResultsAmong the 215 participants who participated 12-months after hospital discharge, 170 (79%) consented to the 24-month follow-up. The mean (standard deviation) age was 61.2 (12.7) years and 54% (n = 91) of participants who were male. Compared to pre-morbid function, mobility and cognitive deficits were present in 57% and 41% of participants, respectively. Furthermore, 59% of participants reported COVID-19 continued to impact their daily activities.ConclusionAt 24-months after hospitalization for COVID-19, many participants experience persistent mobility and cognitive deficits. Future work should aim to develop comprehensive rehabilitation strategies for those recovering from COVID-19 which target mobility and cognitive function.

  16. o

    Données sur les vaccins contre la COVID-19 en Ontario

    • data.ontario.ca
    • ouvert.canada.ca
    csv, txt, xlsx
    Updated Dec 13, 2024
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    Health (2024). Données sur les vaccins contre la COVID-19 en Ontario [Dataset]. https://data.ontario.ca/fr/dataset/covid-19-vaccine-data-in-ontario
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    txt(8365), xlsx(20450), csv(18214), csv(49841043), csv(1303887), csv(101259), csv(7350), xlsx(21260), csv(40072)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

    ** À compter du 14 novembre 2024 cette page ne sera plus mise à jour. Des renseignements concernant la COVID-19 et d’autres virus respiratoires sont fournis dans l’outil de surveillance des virus respiratoires interactif de Santé publique Ontario : https://www.publichealthontario.ca/fr/data-and-analysis/infectious-disease/respiratory-virus-tool**

    Au 26 janvier 2023, les chiffres de population sont fondés sur les estimations de Statistique Canada de 2021. La méthodologie de couverture a été révisée afin de calculer l’âge en fonction de la date actuelle et les personnes décédées ne sont plus incluses. La méthode utilisée pour compter les administrations de doses quotidiennes a changé. Elle est désormais fondée sur la date de délivrance plutôt que le jour de saisie dans le système de données. Les données historiques ont été mises à jour.

    Veuillez prendre note que les données sur le nombre de cas selon le statut vaccinal ne seront plus publiées en date du 23 juin 2022.

    Veuillez prendre note que les données sur le nombre de taux de cas par statut vaccinal en fonction du groupe d’âge ne seront plus publiées en date du 13 juillet 2022.

    Veuillez prendre note que les données sur les hospitalisations selon le statut vaccinal ne seront plus publiées en date du 23 juin 2022.

    Renseignez-vous sur les vaccins contre la COVID-19

    L'ensemble de données comprend :

    • doses quotidiennes et totales administrées
    • personnes qui ont reçu au moins une dose
    • personnes entièrement vaccinées
    • doses totales administrées aux personnes entièrement vaccinées
    • vaccinations par âge
    • pourcentage de tranche d'âge
    • individus ayant reçu au moins une dose, par circonscription sanitaire, par tranche d’âge
    • individus pleinement vaccinés, par circonscription sanitaire, par tranche d’âge
    • cas de COVID-19 par statut vaccinal : pas entièrement vaccinés, totalement vaccinées, cacciné avec dose de rappel
    • personnes hospitalisées à cause de la COVID-19 (excepté les USI) : non vaccinées, partiellement vaccinées, totalement vaccinées
    • personnes hospitalisées à cause de la COVID-19 par statut vaccinal : non vaccinées, partiellement vaccinées, totalement vaccinées, inconnu.
    • nombre de cas de COVID-19 par 100 000 selon le statut vaccinal et tranche d'âge
    • nombre de cas par 100 000 habitants (moyenne de sept jours) par statut vaccinal et tranche d'âge

    Toutes les données correspondent aux totaux déclarés à 20 h le jour précédent.

    Cet ensemble de données pourrait changer.

    Notes complémentaires

    • La saisie des données des dossiers de vaccination est toujours en cours. Par conséquent, les données posologiques pourraient ne pas brosser un portrait complet de toutes les doses de vaccin administrées en Ontario.
    • Les données n’incluent pas les données posologiques lorsqu’une personne n’a pas consenti à ce que son dossier de vaccination soit saisi dans le système provincial COVaxON. Ceci comprend les dossiers individuels ainsi que les dossiers de certaines collectivités autochtones lorsque ces collectivités n’ont pas consenti à l’inclusion des renseignements sur la vaccination dans le système COVaxON.

    Hospitalisations et cas par statut de vaccination

    Hospitalisations

    • Il s’agit d’une nouvelle cueillette de données, et la qualité des données continuera de s’améliorer à mesure que les hôpitaux poursuivent la transmission des données.
    • Afin de comprendre le statut vaccinal des patients actuellement hospitalisés, un nouveau processus de cueillette de données a été mis au point, ce qui pourrait occasionner des divergences entre les autres chiffres liés aux hospitalisations recueillis au moyen d’un processus de cueillette de données différent.
    • Les données sur les patients à l’USI sont recueillies à partir de deux sources de données différentes ayant des heures d’extractions et des cycles de déclaration différents. L’actuelle source de données (Système d'information sur les soins aux malades en phase critique, SISMPC) ne comprend pas le statut vaccinal.
    • Les données historiques pour les hospitalisations par région peuvent changer avec le temps, à mesure que les hôpitaux mettent à jour les données saisies préalablement.
    • En raison de déclarations incomplètes le week-end et les jours fériés, les données sur le statut vaccinal pour les admissions à l’hôpital et à l’USI ne sont pas mises à jour le dimanche, le lundi et le lendemain des jours fériés.
    • Non vacciné signifie qu’aucune dose n’a été administrée ou qu’il s’est écoulé de 0 à 13 jours depuis l’administration de la première dose d’un vaccin contre la COVID-19.
    • Partiellement vacciné signifie qu’il s’est écoulé 14 jours ou plus depuis l’administration de la première dose d’une série de deux doses d’un vaccin contre la COVID-19, ou qu’il s’est écoulé de 0 à 13 jours depuis l’administration de la seconde dose.
    • Entièrement vacciné signifie qu’il...
  17. Death rate for influenza and pneumonia in Canada 2000-2023

    • statista.com
    Updated Nov 29, 2025
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    Statista (2025). Death rate for influenza and pneumonia in Canada 2000-2023 [Dataset]. https://www.statista.com/statistics/434445/death-rate-for-influenza-and-pneumonia-in-canada/
    Explore at:
    Dataset updated
    Nov 29, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    In 2023, there were **** deaths from influenza and pneumonia in Canada per 100,000 population. Influenza, more commonly known as the flu, is a highly contagious viral infection and frequent cause of pneumonia. Pneumonia is a more serious infection of the lungs and is particularly deadly among young children, the elderly, and those with certain chronic conditions. Vaccination There exist vaccines for both influenza and pneumonia, and although effectiveness varies, vaccination remains one of the best ways to prevent these illnesses. Nevertheless, only around ** percent of Canadians received an influenza vaccination in the past year in 2022. The most common reason why Canadian adults received the influenza vaccination was to prevent infection or because they did not want to get sick. Pneumonia hospitalization Every year tens of thousand of people in Canada are hospitalized for pneumonia. In *********, there were over ****** emergency room visits for pneumonia in Canada, a substantial decrease from the numbers recorded from 2010 to 2020. Perhaps unsurprisingly, those aged 65 years and older account for the highest number of emergency room visits for pneumonia. The median length of stay for emergency department visits for pneumonia in Canada has increased in recent years, with the median length of stay around *** minutes in *********.

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

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Government of Ontario (2025). Breakdown of COVID-19 positive hospital admissions [Dataset]. https://open.canada.ca/data/en/dataset/8033f5df-6db8-41fe-921a-5f1160b4d75b
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Breakdown of COVID-19 positive hospital admissions

Explore at:
csv, htmlAvailable 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
Jan 10, 2022 - Nov 14, 2024
Description

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

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