8 datasets found
  1. D

    COVID-19 - Portrait quotidien des cas confirmés

    • donneesquebec.ca
    • ouvert.canada.ca
    csv, pdf
    Updated Dec 2, 2025
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    Ministère de la Santé et des services sociaux (2025). COVID-19 - Portrait quotidien des cas confirmés [Dataset]. https://www.donneesquebec.ca/recherche/dataset/covid-19-portrait-quotidien-des-cas-confirmes
    Explore at:
    csv(1399), csv(63856), pdf(218358)Available download formats
    Dataset updated
    Dec 2, 2025
    Dataset authored and provided by
    Ministère de la Santé et des services sociaux
    License

    https://www.donneesquebec.ca/licence/#cc-byhttps://www.donneesquebec.ca/licence/#cc-by

    Description

    Veuillez prendre note que les fichiers de données sont à jour cependant nous rencontrons actuellement des difficultés avec l'affichage de la date de mise à jour de ce jeu de données. Nous sommes en investigation et rétablirons la situation dès que possible.

    Ce jeu présente le portrait quotidien du nombre de cas confirmés de COVID-19 au Québec. Note importante : Depuis le 12 avril 2023, la source de données des décès attribuables à la COVID-19 a été modifiée. Les données sont mises à jour hebdomadairement. Les cas et décès ayant eu lieu le dimanche, lundi et mardi précédent la mise en ligne du mercredi ne sont pas disponibles. Veuillez consulter les notes méthodologiques pour plus de détails.

  2. Canadian COVID-19 deaths as of April 15, 2023, by province or territory

    • statista.com
    Updated Feb 15, 2024
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    Statista (2024). Canadian COVID-19 deaths as of April 15, 2023, by province or territory [Dataset]. https://www.statista.com/statistics/1107079/covid19-deaths-by-province-territory-canada/
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    Dataset updated
    Feb 15, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Canada
    Description

    As of April 15, 2023, there had been a total of around 51,921 deaths attributed to COVID-19 in Canada. As of this time, every province and territory has reported deaths, with Quebec and Ontario reporting the highest numbers.

    COVID-19 in Canada Canada has recorded almost 4.65 million coronavirus cases since the first infection in the country was confirmed on January 25, 2020. The number of cases by province shows that Ontario and Quebec have been the most severely affected. The number of daily new cases reached record highs at the end of 2021 and began to decrease as spring arrived in 2022.

    COVID-19 vaccinations in Canada Seven COVID-19 vaccines have now been approved for use in Canada and vaccines are widely available. As of January 1, 2023 around 83 percent of the Canadian population had received at least one dose of a COVID-19 vaccine. The provinces with the highest share of people fully vaccinated against COVID-19 are Newfoundland and Labrador and Nova Scotia. However, Ontario and Quebec are the provinces with the highest total number of people vaccinated.

  3. G

    COVID-19 - Daily portrait of confirmed cases

    • open.canada.ca
    csv, html, pdf
    Updated Nov 26, 2025
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    Government and Municipalities of Québec (2025). COVID-19 - Daily portrait of confirmed cases [Dataset]. https://open.canada.ca/data/dataset/a2073e4a-9426-4946-95b5-c560d43c216e
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    csv, html, pdfAvailable download formats
    Dataset updated
    Nov 26, 2025
    Dataset provided by
    Government and Municipalities of Québec
    License

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

    Description

    ***Please note that the data files are up to date, however, we are currently experiencing difficulties with displaying the update date for this dataset. We are under investigation and will restore the situation as soon as possible. *** This game presents the daily portrait of the number of confirmed cases of COVID-19 in Quebec. Important note: As of April 12, 2023, the data source for COVID-19 deaths has changed. Data is updated on a weekly basis. Cases and deaths that occurred on the Sunday, Monday and Tuesday before the Wednesday went online are not available. Please refer to the methodology notes for more details.

  4. u

    COVID-19 - Daily portrait of confirmed cases

    • data.urbandatacentre.ca
    • gimi9.com
    Updated Oct 19, 2025
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    (2025). COVID-19 - Daily portrait of confirmed cases [Dataset]. https://data.urbandatacentre.ca/dataset/gov-canada-a2073e4a-9426-4946-95b5-c560d43c216e
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    Dataset updated
    Oct 19, 2025
    Description

    This game presents the daily portrait of the number of confirmed cases of COVID-19 in Quebec. Important note: As of April 12, 2023, the data source for COVID-19 deaths has changed. Data is updated on a weekly basis. Cases and deaths that occurred on the Sunday, Monday and Tuesday before the Wednesday went online are not available. Please refer to the methodology notes for more details.

  5. G

    COVID-19 - Daily portrait of the vaccination status of new cases and new...

    • open.canada.ca
    • data.urbandatacentre.ca
    • +1more
    csv, html, pdf
    Updated Nov 12, 2025
    + more versions
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    Government and Municipalities of Québec (2025). COVID-19 - Daily portrait of the vaccination status of new cases and new hospitalizations [Dataset]. https://open.canada.ca/data/en/dataset/6d928d3e-7734-45a2-8dcb-08244d455a66
    Explore at:
    csv, pdf, htmlAvailable download formats
    Dataset updated
    Nov 12, 2025
    Dataset provided by
    Government and Municipalities of Québec
    License

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

    Description

    *** Important note*** - July 6, 2022: Update stopped. Considering the changes in the vaccination recommendations issued on June 20, 2022 by the Committee on Immunization of Quebec, an adaptation of the indicators to assess and monitor vaccination coverage during the fall 2022 campaign is in progress. Since the monitoring of the indicators as they were disseminated up to now is no longer possible, the dataset will no longer be updated for the time being. The files from the last update remain available. This game presented the daily portrait of the vaccination status of new cases and new hospitalizations of COVID-19 in Quebec. The most up-to-date data presented is from the day before.

  6. 2020-2021 Covid Case Data in Canada by Region

    • kaggle.com
    zip
    Updated Sep 11, 2021
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    Penny Li (2021). 2020-2021 Covid Case Data in Canada by Region [Dataset]. https://www.kaggle.com/luckypen/20202021-covid-case-data-in-canada-by-region
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    zip(1669 bytes)Available download formats
    Dataset updated
    Sep 11, 2021
    Authors
    Penny Li
    Area covered
    Canada
    Description

    Context

    As we enter into the latter half of the second year of the Coronavirus pandemic, transmission has become the keyword as more variants emerge. In this dataset, I thought to shed some light on the relationship between transmission types and death rates. This dataset contains the number of cases by region in Canada in 2021 by their respective transmission methods and death rates. I also added the perceived health by region in Canada in 2020 as compared to 2019.

    Content

    The dataset consists of two csv files: transmission & death.csv and Perceived Health.csv.

    transmission & death.csv: Case counts by region in Canada categorized by transmission methods and death status. This data is provided by the Public Health Agency of Canada. The original data set contains age and gender details, which I combined columns into one to focus on the transmission vs. death investigation. This file contains case counts from January 15, 2020 to September 5, 2021.

    Perceived Health.csv is the perceived health by region in Canada based on the Canadian Community Health Survey released on September 8, 2021.

    Column Description

    transmission & death dataset transmission & death.csv:

    Geography: For the purpose of this study, geography is the Canadian regions of Atlantic, Quebec, Ontario and Nunavut, Prairies and Northwest Territories, and British Columbia and Yukon

    Transmission: For the purpose of this study, transmission types are community exposures, travel exposures and not stated

    Death statuses: For this study, death statuses are deceased, not deceased and not stated

    Perceived Health dataset Perceived Health.csv:

    Geography: In this file, geography is broken down into Newfoundland and Labrador, Prince Edward Island, Nova Scotia, New Brunswick, Quebec, Ontario, Manitoba, Saskatchewan, Albert, and British Columbia

    Indicators: Perceived health is broken down into very good or excellent and fair or poor

    Age groups are broken down into 12 to 17 years, 18 to 34 years, 35 to 49 years, 50 to 64 years, and 65 years and over

    Acknowledgements

    Data provided for public use by Statistics Canada.

    Inspiration

    This dataset is meant to gain insight into the severity of symptoms of the coronavirus, as it relates to the type of transmission or the perceived health of the region in question.

  7. d

    Tweets from Canadian provincial & territorial health officials

    • search.dataone.org
    • borealisdata.ca
    Updated Dec 28, 2023
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    Paterson, Susan; Brigham, Doug (2023). Tweets from Canadian provincial & territorial health officials [Dataset]. http://doi.org/10.5683/SP2/TOQJFJ
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Paterson, Susan; Brigham, Doug
    Area covered
    Canada
    Description

    This dataset includes tweets from provincial and territorial government officials. In cases when a health official does not use Twitter (e.g. Dr. Bonnie Henry), other official accounts for the province or territory have been substituted. The dataset does not include tweets from federal government officials. The tweet IDs were collected using Documenting the Now's Twarc library (https://github.com/DocNow/twarc). The date of the earliest available tweet is different for each handle. The date of the latest available tweet will not be later than the upload date for each file. See the file-level information below. The tweet ids were extracted from the raw JSON files retrieved from Twitter using Twarc. However, Twitter's terms of use do not permit the sharing of the raw JSON files for this dataset. The raw JSON files can be retrieved from Twitter, provided the content is still available, using the 'hydrate' command within Twarc. The researchers retained the source JSON files and may be contacted by other researchers if they wish to access them. The files of tweet ids will be updated over time and this metadata, the files and this readme.txt file will be updated accordingly. Raw JSON files were harvested using Twarc's 'timeline' command. The 'timeline' command retrieves the most recent tweets from the specified handle, to a maximum of approximately 3,300 tweets. The data for each handle was collected approximately weekly, starting in January 2021. In order not to lose earlier tweets, we concatenated the JSON for each new 'timeline' crawl to the earlier crawls and de-duplicated the combined JSON using Twarc's 'deduplicate' command. We then used Twarc's 'dehydrate' command to extract just the tweet ids from the deduplicate JSON file. Finally, we sorted the tweet ids numerically so that they would appear in ascending date order. The basic workflow looks like: twarc timeline --> concatenate JSON files --> deduplicate resulting JSON file --> dehydrate tweet ids --> sort tweet ids. The Twitter handles include: @ArrudaHoracio: Dr. Horacio Arruda, Directeur national de santé publique et SMA en santé publique MSSS Québec. Tweets in this file start on 2013-03-11. @CMOH_Alberta: Dr. Deena Hinshaw, Alberta’s Chief Medical Officer of Health. Tweets in this file start on 2020-03-26. @CMOH_NL: Dr. Janice Fitzgerald, Newfoundland and Labrador's Chief Medical Officer of Health. Tweets in this file start on 2020-04-27. @GOVofNUNAVUT: Government of Nunavut. Tweets in this file start on 2018-08-20. @GlavineLeo: Leo Glavine, MLA Kings West, Nova Scotia, Minister of Health and Wellness, Minister of Seniors. Tweets in this file start on 2017-04-17. @HealthNS: Nova Scotia Health. Tweets in this file start on 2019-05-D8. @Johnrockdoc: John Haggie, Newfoundland and Labrador's Minister, Health & Community Services. Tweets in this file start on 2020-01-19. @IainTRankin: Iain Rankin, Premier of Nova Scotia from 2021-02-23. MLA for Timberlea-Prospect. Tweets in this file start on 2012-08-08. @MLAStefanson: Heather Stefanson, Manitoba's Minister of Health and Seniors Care, MLA for Tuxedo Tweets in this file start on 2012-02-11. @MerrimanPaul: Paul Merriman. Saskatchewan's Minister of Social Services. Tweets in this file start on 2018-11-18. @MinistreMcCann: Danielle McCann. Députée de Sanguinet - Ministre de l'Enseignement supérieur. Tweets in this file start on 2019-03-14. @NBHealth: New Brunswick Department of Health. Tweets in this file start on 2013-02-26. @NWT_CPHO: Kami Kandola, Northwest Territories Chief Public Officer of Health. Tweets in this file start on 2013-10-16. @PFrostOldCrow: Pauline Frost Yukon MLA for Vuntut Gwich'in. Minister of Health and Social Services, Environment and Minister responsible for the Yukon Housing Corporation. Tweets in this file start on 2016-08-05. @SaskHealth: Saskatchewan Health Authority official twitter account. Tweets in this file start on 2020-03-15. @ShephardDorothy: Dorothy Shephard, Minister of Health for New Brunswick. Tweets in this file start on 2016-04-16. @StephenMcNeil: Stephen McNeil, Premier of Nova Scotia from 2013-10-23 to 2021-02-23. MLA for Annapolis. Tweets in this file start on 2017-05-05. @adriandix: Adrian Dix, MLA for Vancouver-Kingsway and BC Minister of Health. Tweets in this file start on 2019-09-20. @celliottability: Christine Elliott, Deputy Premier of Ontario and Minister of Health, MPP for Newmarket-Aurora. Tweets in this file start on 2018-02-24. @epdevilla: Dr. Eileen de Villa, Toronto's Medical Officer of Health. Tweets in this file start on 2013-02-21. @jsjaylward: James Aylward, Minister for Transportation & Infrastructure for PEI. MLA for District 6 Stratford-Keppoch. Tweets in this file start on 2015-03-30. @juliegreenMLA: Julie Green, NWT Minister of Health and Social Services, Minister Responsible for Persons wit... Visit https://dataone.org/datasets/sha256%3A6926de50d5ad28e6d3b4820345ba4dc1b5dd549afa67117940a8819dd53b98cf for complete metadata about this dataset.

  8. a

    The Impact of the COVID19 Pandemic on Income by Percent Change 2019 to 2020...

    • decent-work-and-economic-growth-fredericton.hub.arcgis.com
    • community-prosperity-hub-fredericton.hub.arcgis.com
    Updated Aug 10, 2022
    + more versions
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    City of Fredericton - Ville de Fredericton (2022). The Impact of the COVID19 Pandemic on Income by Percent Change 2019 to 2020 Fredericton [Dataset]. https://decent-work-and-economic-growth-fredericton.hub.arcgis.com/items/3669ef5048b34bdb8ae2d2c42004458b
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    Dataset updated
    Aug 10, 2022
    Dataset authored and provided by
    City of Fredericton - Ville de Fredericton
    Description

    Footnotes:1Gender refers to an individual's personal and social identity as a man, woman or non-binary person (a person who is not exclusively a man or a woman). Gender includes the following concepts: gender identity, which refers to the gender that a person feels internally and individually; gender expression, which refers to the way a person presents their gender, regardless of their gender identity, through body language, aesthetic choices or accessories (e.g., clothes, hairstyle and makeup), which may have traditionally been associated with a specific gender. A person's gender may differ from their sex at birth, and from what is indicated on their current identification or legal documents such as their birth certificate, passport or driver's licence. A person's gender may change over time. Some people may not identify with a specific gender.2Given that the non-binary population is small, data aggregation to a two-category gender variable is sometimes necessary to protect the confidentiality of responses provided. In these cases, individuals in the category “non-binary persons” are distributed into the other two gender categories and are denoted by the “+” symbol.3Age' refers to the age of a person (or subject) of interest at last birthday (or relative to a specified, well-defined reference date).4The median income of a specified group is the amount that divides the income distribution of that group into two halves, i.e., the incomes of half of the units in that group are below the median, while those of the other half are above the median. Median incomes of individuals are calculated for those with income (positive or negative).5Average income of a specified group is calculated by dividing the aggregate income of that group by the number of units in that group. Average incomes are calculated for those with income (positive or negative).6Total income refers to the sum of certain incomes (in cash and, in some circumstances, in kind) of the statistical unit during a specified reference period. The components used to calculate total income vary between: – Statistical units of social statistical programs such as persons, private households, census families and economic families; – Statistical units of business statistical programs such as enterprises, companies, establishments and locations; and – Statistical units of farm statistical programs such as farm operator and farm family. In the context of persons, total income refers to receipts from certain sources, before income taxes and deductions, during a specified reference period. In the context of census families, total income refers to receipts from certain sources of all of its family members, before income taxes and deductions, during a specified reference period. In the context of economic families, total income refers to receipts from certain sources of all of its family members, before income taxes and deductions, during a specified reference period. In the context of households, total income refers to receipts from certain sources of all household members, before income taxes and deductions, during a specified reference period. The monetary receipts included are those that tend to be of a regular and recurring nature. Receipts that are included as income are: * employment income from wages, salaries, tips, commissions and net income from self-employment (for both unincorporated farm and non-farm activities); * income from investment sources, such as dividends and interest on bonds, accounts, guaranteed investment certificates (GICs) and mutual funds; * income from employer and personal pension sources, such as private pensions and payments from annuities and registered retirement income funds (RRIFs); * other regular cash income, such as child support payments received, spousal support payments (alimony) received and scholarships; * income from government sources, such as social assistance, child benefits, Employment Insurance benefits, Old Age Security benefits, COVID-19 benefits and Canada Pension Plan and Québec Pension Plan benefits and disability income. Receipts excluded from this income definition are: * one-time receipts, such as lottery winnings, gambling winnings, cash inheritances, lump-sum insurance settlements and tax-free savings account (TFSA) or registered retirement savings plan (RRSP) withdrawals; * capital gains because they are not by their nature regular and recurring. It is further assumed that they are more relevant to the concept of wealth than the concept of income; * employers' contributions to registered pension plans, Canada Pension Plan, Québec Pension Plan and Employment Insurance; * voluntary inter-household transfers, imputed rent, goods and services produced for barter and goods produced for own consumption.7The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.8The sum of employment income (wages, salaries and commissions, net self-employment income from farm or non-farm unincorporated business and/or professional practice), investment income, private retirement income (retirement pensions, superannuation and annuities, including those from registered retirement savings plans [RRSPs] and registered retirement income funds [RRIFs]) and other money income from market sources during the reference period. It is equivalent to total income minus government transfers. It is also referred to as income before transfers and taxes.9The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.10All income received as wages, salaries and commissions from paid employment and net self-employment income from farm or non-farm unincorporated business and/or professional practice during the reference period.11The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.12Gross wages and salaries before deductions for such items as income taxes, pension plan contributions and employment insurance premiums during the reference period. While other employee remuneration such as security options benefits, board and lodging and other taxable allowances and benefits are included in this source, employer's contributions to pension plans and employment insurance plans are excluded. Other receipts included in this source are military pay and allowances, tips, commissions and cash bonuses associated with paid employment, benefits from wage-loss replacement plans or income-maintenance insurance plans, supplementary unemployment benefits from an employer or union, research grants, royalties from a work or invention with no associated expenses and all types of casual earnings during the reference period.13The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.14Net income (gross receipts minus cost of operation and capital cost allowance) received during the reference period from self-employment activities, either on own account or in partnership. In the case of partnerships, only the person's share of income is included. Net partnership income of a limited or non-active partner is excluded. It includes farming income, fishing income and income from unincorporated business or professional practice. Commission income for a self-employed commission salesperson and royalties from a work or invention with expenses associated are also included in this source.15The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.16All cash benefits received from federal, provincial, territorial or municipal governments during the reference period. It includes: * Old Age Security pension, Guaranteed Income Supplement, Allowance or Allowance for the Survivor; * retirement, disability and survivor benefits from Canada Pension Plan and Québec Pension Plan; * benefits from Employment Insurance and Québec parental insurance plan; * child benefits from federal and provincial programs; * social assistance benefits; * workers' compensation benefits; * Canada workers benefit (CWB); * Goods and services tax credit and harmonized sales tax credit; * other income from government sources. For the 2021 Census, this includes various benefits from new and existing federal, provincial and territorial government income programs intended to provide financial support to individuals affected by the COVID-19 pandemic and the public health measures implemented to minimize the spread of the virus.17The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars.18Refers to the sum of payments received from COVID-19 - Emergency and recovery benefits and Employment Insurance (EI) benefits.19The reference period for this variable is calendar year 2019. The variable is intended for comparison with its 2020 equivalent and other 2019 income variables. Income for 2019 is presented in 2020 constant dollars. In 2019, earning replacement benefits is equal to Employment Insurance (EI) benefits.20All Employment Insurance (EI) benefits received during the reference period, before income tax deductions. It includes benefits for unemployment, sickness, maternity, paternity, adoption, compassionate care, work sharing, retraining, and benefits to self-employed fishers

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Ministère de la Santé et des services sociaux (2025). COVID-19 - Portrait quotidien des cas confirmés [Dataset]. https://www.donneesquebec.ca/recherche/dataset/covid-19-portrait-quotidien-des-cas-confirmes

COVID-19 - Portrait quotidien des cas confirmés

Explore at:
5 scholarly articles cite this dataset (View in Google Scholar)
csv(1399), csv(63856), pdf(218358)Available download formats
Dataset updated
Dec 2, 2025
Dataset authored and provided by
Ministère de la Santé et des services sociaux
License

https://www.donneesquebec.ca/licence/#cc-byhttps://www.donneesquebec.ca/licence/#cc-by

Description

Veuillez prendre note que les fichiers de données sont à jour cependant nous rencontrons actuellement des difficultés avec l'affichage de la date de mise à jour de ce jeu de données. Nous sommes en investigation et rétablirons la situation dès que possible.

Ce jeu présente le portrait quotidien du nombre de cas confirmés de COVID-19 au Québec. Note importante : Depuis le 12 avril 2023, la source de données des décès attribuables à la COVID-19 a été modifiée. Les données sont mises à jour hebdomadairement. Les cas et décès ayant eu lieu le dimanche, lundi et mardi précédent la mise en ligne du mercredi ne sont pas disponibles. Veuillez consulter les notes méthodologiques pour plus de détails.

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