As of April 22, 2023, there had been around 4.66 million confirmed coronavirus (COVID-19) cases in Canada. This statistic shows the number of new reported daily coronavirus (COVID-19) cases in Canada from January 15, 2020 to April 22, 2023, by episode date.

As of April 25, 2023, there had been 4.65 million confirmed COVID-19 cases and almost 52 thousand deaths from the disease in Canada. Almost 42 thousand COVID-19 tests had been preformed in the last week.

The coronavirus in Canada The first coronavirus cases in Canada were reported in late January 2020. The number of new cases initially surged in March, but the country was gripped by a second wave in the fall and winter of 2020. The worst wave of cases to hit the country came towards the end of 2021 when the number of new daily cases hit an all-time high. Older adults are at greater risk of getting severely ill from the disease, but the distribution of cases in Canada shows that people in their 20s account for approximately 18 percent of cases.

As of May 2, 2023, Canadians aged 20 to 29 years accounted for 17 percent of COVID-19 cases in Canada, the largest share of all age groups.

Which groups of people are at higher risk? The number of new coronavirus cases in Canada had dropped dramatically in the beginning of 2021, suggesting the country had regained control of the second wave of infections, before spiking again around April and then dropping again in the summer months. A new surge began in December 2021, with the number of new daily cases skyrocketing, reaching never-before-seen levels. While there are much more cases among younger people, the number of COVID-19 deaths are particularly high for older people, especially those with pre-existing medical conditions. During these challenging times, it is important to protect older people living alone and those in care facilities. Groups should not be discriminated against because of age, and all communities need to be supported.

By April 22, 2023, the number of reported COVID-19 cases in Canada had reached almost 4.66 million. This statistic shows the cumulative number of COVID-19 cases in Canada from February 1, 2020 to April 22, 2023, by date.

Forecast: Number of New Extrapulmonary Tuberculosis Cases in Canada 2022 - 2026 Discover more data with ReportLinker!

--- This is a 5 Year Regional Report by court level, division and class, as represented in the Courts Dashboard. • “New Court Cases” generally refers to the number of new filings received in a court location that initiate a case, including files transferred from another registry for disposition. • The extracts report the total number of new court cases initiated in courthouses across BC. • Fiscal Year datasets are available and are based on the date the case is opened.

Forecast: Number of New Extrapulmonary Tuberculosis Cases in Canada 2023 - 2027 Discover more data with ReportLinker!

Forecast: Number of New and Relapse Tuberculosis Cases in Canada 2023 - 2027 Discover more data with ReportLinker!

Number of new cases and age-standardized rates of new cancer cases by stage at diagnosis from 2011 to the most recent diagnosis year available. Included are colorectal, lung, breast, cervical and prostate cancer with cases defined using the Surveillance, Epidemiology and End Results (SEER) Groups for Primary Site based on the World Health Organization International Classification of Diseases for Oncology, Third Edition (ICD-O-3). Random rounding of case counts to the nearest multiple of 5 is used to prevent inappropriate disclosure of health-related information.

Forecast: Number of New Bacteriologically Confirmed Pulmonary Tuberculosis Cases in Canada 2022 - 2026 Discover more data with ReportLinker!

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.

Forecast: Number of New Bacteriologically Confirmed Pulmonary Tuberculosis Cases in Canada 2024 - 2028 Discover more data with ReportLinker!

The B.C. COVID-19 Dashboard has been retired and will no longer be updated.Purpose: These data can be used for visual or reference purposes.British Columbia COVID-19 B.C. & Canadian Testing Rates are obtained from the Public Health Agency of Canada’s Daily Epidemiologic Update site: https://www.canada.ca/en/public-health/services/diseases/2019-novel-coronavirus-infection.html.These data were made specifically for the British Columbia COVID-19 Dashboard.

Terms of use, disclaimer and limitation of liabilityAlthough every effort has been made to provide accurate information, the Province of British Columbia, including the British Columbia Centre for Disease Control, the Provincial Health Services Authority and the British Columbia Ministry of Health makes no representation or warranties regarding the accuracy of the information in the dashboard and the associated data, nor will it accept responsibility for errors or omissions. Data may not reflect the current situation, and therefore should only be used for reference purposes. Access to and/or content of these data and associated data may be suspended, discontinued, or altered, in part or in whole, at any time, for any reason, with or without prior notice, at the discretion of the Province of British Columbia.Anyone using this information does so at his or her own risk, and by using such information agrees to indemnify the Province of British Columbia, including the British Columbia Centre for Disease Control, the Provincial Health Services Authority and the British Columbia Ministry of Health and its content providers from any and all liability, loss, injury, damages, costs and expenses (including legal fees and expenses) arising from such person’s use of the information on this website.Dashboard Updates - GeneralData are updated up to the previous Saturday. Weekly metrics reflect the latest full week, Sunday to Saturday. The “Currently Hospitalized” and “Currently in Critical Care” reflect daily volumes on the Thursday.Data Notes - GeneralThe following data notes define the indicators presented on the public dashboard and describe the data sources involved. Data changes as new cases are identified, characteristics of reported cases change or are updated, and data corrections are made. Specific values may therefore fluctuate in response to underlying system changes. As such, case, hospitalization, deaths, testing and vaccination counts and rates may not be directly comparable to previously published reports. For the latest caveats about the data, please refer to the most recent BCCDC Surveillance Report located at: www.bccdc.ca/health-info/diseases-conditions/covid-19/dataData SourcesLaboratory data are supplied by the B.C. Centre for Disease Control (BCCDC) Public Health Laboratory; tests performed for other provinces have been excluded. See “Data Over Time” for more information on changes to the case definition.Total COVID-19 cases include lab-confirmed, lab-probable and epi-linked cases. Case definitions can be found at: https://www.bccdc.ca/health-professionals/clinical-resources/case-definitions/covid-19-(novel-coronavirus). Currently hospitalized and critical care hospitalizations data are received from Provincial COVID-19 Monitoring Solution, Provincial Health Services Authority. See “Data Over Time” for more information on previous data sources.Vaccine data are received from the B.C. Ministry of Health.Mortality data are received from Vital Statistics, B.C. Ministry of Health. See Data Over Time for more information on precious data sources.Laboratory data is supplied by the B.C. Centre for Disease Control Public Health Laboratory and the Provincial Lab Information Solution (PLIS); tests performed for other provinces have been excluded.Critical care hospitalizations are provided by the health authorities to PHSA on a daily basis. BCCDC/PHSA/B.C. Ministry of Health data sources are available at the links below:Cases Totals (spatial)Case DetailsLaboratory Testing InformationRegional Summary DataData Over TimeThe number of laboratory tests performed and positivity rate over time are reported by the date of test result. See “Laboratory Indicators” section for more details.Laboratory confirmed cases are reported based on the client's first positive lab result.As of April 2, 2022, cases include laboratory-diagnosed cases (confirmed and probable) funded under Medical Services Plan.From January 7, 2021 to April 1, 2022, cases included those reported by the health authorities and those with positive laboratory results reported to the BCCDC. The number of cases over time is reported by the result date of the client's first positive lab result where available; otherwise by the date they are reported to public health. Prior to April 2, 2022, total COVID-19 cases included laboratory-diagnosed cases (confirmed and probable) as well as epi-linked cases. Prior to June 4, 2020, the total number of cases included only laboratory-diagnosed cases.As of January 14, 2022, the data source for "Currently Hospitalized" has changed to better reflect hospital capacity. Comparisons to numbers before this date should not be made.As of April 2, 2022, death is defined as an individual who has died from any cause, within 30 days of a first COVID-19 positive lab result date. Prior to April 22, 2022, death information was collected by Regional Health Authorities and defined as any death related to COVID-19. Comparisons between these time periods are not advised.Epidemiologic Indicators"Currently Hospitalized" is the number of people who test positive for COVID-19 through hospital screening practices, regardless of the reason for admission, as recorded in PCMS on the day the dashboard is refreshed. It is reported by the hospital in which the patient is hospitalized, rather than the patient's health authority of residence.Critical care values (intensive care units, high acuity units, and other critical care surge beds) include individuals who test positive for COVID-19 and are in critical care, as recorded in PCMS.The 7-day moving average is an average daily value over the 7 days up to and including the selected date. The 7-day window moved - or changes - with each new day of data. It is used to smooth new daily case and death counts or rates to mitigate the impact of short-term fluctuations and to more clearly identify the most recent trend over time.The following epidemiological indicators are included in the provincial case data file:Date: date of the client's first positive lab result.HA: health authority assigned to the caseSex: the sex of the clientAge_Group: the age group of the clientClassification_Reported: whether the case has been lab-diagnosed or is epidemiologically linked to another caseThe following epidemiological indicators are included in the regional summary data file:Cases_Reported: the number of cases for the health authority (HA) and health service delivery area (HSDA)Cases_Reported_Smoothed: Seven day moving average for reported casesLaboratory IndicatorsTests represent the number of all COVID-19 tests reported to the BCCDC Public Helath Laboratory since testing began mid-January 2020. Only tests for residents of B.C. are included.COVID-19 positivity rate is calculated for each day as the ratio of 7-day rolling average of number of positive specimens to 7-day rolling average of the total number of specimens tested (positive, negative, indeterminate and invalid). A 7-day rolling average applied to all testing data corrects for uneven data release patterns while accurately representing the provincial positivity trends. It avoids misleading daily peaks and valleys due to varying capacities and reporting cadences.Turn-around time is calculated as the daily average time (in hours) between specimen collection and report of a test result. Turn-around time includes the time to ship specimens to the lab; patients who live farther away are expected to have slightly longer average turn around times.The rate of COVID-19 testing per million population is defined as the cumulative number of people tested for COVID-19/B.C. population x 1,000,000. B.C. Please note: the same person may be tested multiple times, thus it is not possible to derive this rate directly from the number of cumulative tests reported on the B.C. COVID-19 Dashboard.Testing context: COVID-19 diagnostic testing and laboratory test guidelines have changed in British Columbia over time. B.C.'s testing strategy has been characterized by four phases: 1) Exposure-based testing (start of pandemic), 2) Targeted testing (March 16, 2020), 3) Expanded testing (April 9, 2020), 4) Symptom-based testing (April 21, 2020), and 5) Symptom-based testing for targeted populations (a-are at risk of more severe disease and/or b-live or work in high-risk settings such as healthcare workers) and Rapid Antigen Tests deployment (January 18, 2022). Due to changes in testing strategies in BC in 2022, focusing on targeted higher risk populations, current case counts are an underestimate of the true number of COVID-19 cases in BC and may not be representative of the situation in the community.
The following laboratory indicators are included in the provincial laboratory data file:New_Tests: the number of new COVID-19 testsTotal_Tests: the total number of COVID-19 testsPositivity: the positivity rate for COVID-19 testsTurn_Around: the turnaround time for COVID-19 testsBC Testing Rate: Total PCR + POC tests per day (excluding POC that were confirmed by PCR within 7 days) / Population using BC Stats PEOPLE2021 population projections for the year 2022 * 100,000.Health Authority AssignmentCases are reported by health authority of residence.As of April 2, 2022, cases are reported based on the address provided at the time of testing; when not available, by location of the provider ordering the lab test.As of April 2, 2022, cases who reported having an address outside of B.C. are not included.Prior to April 2, 2022, when

This feature layer contains the most up-to-date COVID-19 cases and latest trend plot. It covers China, the US, Canada, Australia (at province/state level), and the rest of the world (at country level, represented by either the country centroids or their capitals). Data sources are WHO, US CDC, China NHC, ECDC, and DXY. The China data is automatically updating at least once per hour, and non China data is updating manually. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by Esri Living Atlas team and JHU Data Services. This layer is opened to the public and free to share. Contact us.The data is processed from JHU Services and filtered for the Middle East and Africa Region.

This feature layer contains the most up-to-date COVID-19 cases and latest trend plot. It covers China, the US, Canada, Australia (at province/state level), and the rest of the world (at country level, represented by either the country centroids or their capitals). Data sources are WHO, US CDC, China NHC, ECDC, and DXY. The China data is automatically updating at least once per hour, and non China data is updating manually. This layer is created and maintained by the Center for Systems Science and Engineering (CSSE) at the Johns Hopkins University. This feature layer is supported by Esri Living Atlas team and JHU Data Services. This layer is opened to the public and free to share. Contact us.

Canada, like many other countries, experienced the first wave of the pandemic in early 2020. At that time, Esri Canada began collecting and visualizing COVID-19 data to report on outbreaks, cases, hospitalizations, and other pandemic-related information nationwide. The data was made freely available from the COVID-19 Resources Hub to any organizations to leverage in their own reporting. Fortunately, as normalcy has returned and rates plateau, we have concluded the collection and reporting of COVID-19 data, and launched a new GeoHealth Hub. This story map reflects on our efforts on the COVID-19 Resources Hub.

This is the Zenodo archive for the manuscript "Likely community transmission of COVID-19 infections between neighboring, persistent hotspots in Ontario, Canada" (Mucaki EJ, Shirley BC and Rogan PK. F1000Research 2021, 10:1312, DOI: 10.12688/f1000research.75891.1). This study aimed to produce community-level geo-spatial mapping of patterns and clusters of symptoms, and of confirmed COVID-19 cases, in near real-time in order to support decision-making. This was accomplished by area-to-area geostatistical analysis, space-time integration, and spatial interpolation of COVID-19 positive individuals. This archive will contain data and image files from this study, which were too numerous to be included in the manuscript for this study. It also provides all program files pertaining to the Geostatistical Epidemiology Toolbox (Geostatistical analysis software package to be used in ArcGIS), as well as all other scripts described in this manuscript and other software developed (cluster, outlier, streak identification and pairing)..

We also provide a guide which provides a general description of the contents of the four sections in this archive (Documentation_for_Sections_of_Zenodo_Archive.docx). If you have any intent to utilize the data provided in Section 3, we greatly advise you to review this document as it describes the output of all geostatistical analyses performed in this study in detail.

Data Files:

Section 1. "Section_1.Tables_S1_S7.Figures_S1_S11.zip"

This section contains all additional tables and figures described in the manuscript "Likely community transmission of COVID-19 infections between neighboring, persistent hotspots in Ontario, Canada". Additional tables S1 to S7 are presented in an Excel document. These 7 tables provide summary statistics of various geostatistical tests described in the study (“Section 1 – Tables S1-S4”) and lists all identified single and paired high-case cluster streaks (“Section 1 – Tables S5-S7”). This section also contains 11 additional figures referred to in the manuscript (“Section 1 – Figures S1-S11”) both individually and within a Word document which describes them.

Section 2. "Section_2.Localized_Hotspot_Lists.zip"

All localized hotspots (identified through kriging analysis) were catalogued for each municipality evaluated (Hamilton, Kitchener/Waterloo, London, Ottawa, Toronto, Windsor/Essex). These files indicate the FSA in which the hotspot was identified, the date in which it was identified (utilizing 3-day case data at the postal code level), the amount of cases which occurred within the FSA within these 3 dates, the range of cases interpolated by kriging analysis (between 5-10, 10-15, 15-20, 20-25, 25-30, 30-35, 35-40, 40-50, >50), and whether or not the FSA was deemed a hotspot by Gi* relative to the rest of Ontario on any of the three dates evaluated. Please see Section 4 for map images of these localized hotspots.

Section 3. "Section_3.All-Data_Files.Kriging_GiStar_Local_and_GlobalMorans.2020_2021"

Section 3 – All output files from the geostatistical tests performed in this study are provided in this section. This includes the output from Ontario-wide FSA-level Gi* and Cluster and Outlier analyses, and PC-level Cluster and Outlier, Spatial Autocorrelation, and kriging analysis of 6 municipal regions. It also includes kriging analysis of 7 other municipal regions adjacent to Toronto (Ajax, Brampton, Markham, Mississauga, Pickering, Richmond Hill and Vaughan). This section also provides data files from our analyses of stratified case data (by age, gender, and at-risk condition). All coordinates presented in these data files are given in “PCS_Lambert_Conformal_Conic” format. Case values between 1-5 were masked (appear as “NA”).

Section 4. "Section_4.All_Map_Images_of_Geostat_Analyses.zip"

Sets of image files which map the results of our geostatistical analyses onto a map of Ontario or within the municipalities evaluated (Hamilton, Kitchener/Waterloo, London, Ottawa, Toronto, Windsor/Essex) are provided. This includes: Kriging analysis (PC-level), Local Moran's I cluster and outlier analysis (FSA and PC-level), normal and space-time Gi* analysis, and all images for all analyses performed on stratified data (by age, gender and at-risk condition). Kriging contour maps are also included for 7 other municipal regions adjacent to Toronto (Ajax, Brampton, Markham, Mississauga, Pickering, Richmond Hill and Vaughan).

Software:

This Zenodo archive also provides all program files pertaining to the Geostatistical Epidemiology Toolbox (Geostatistical analysis software package to be used in ArcGIS), as well as all other scripts described in this manuscript. This geostatistical toolbox was developed by CytoGnomix Inc., London ON, Canada and is distributed freely under the terms of the GNU General Public License v3.0. It can be easily modified to accommodate other Canadian provinces and, with some additional effort, other countries.

This distribution of the Geostatistical Epidemiology Toolbox does not include postal code (PC) boundary files (which are required for some of the tools included in the toolbox). The PC boundary shapefiles used to test the toolbox were obtained from DMTI (https://www.dmtispatial.com/canmap/) through the Scholar's Geoportal at the University of Western Ontario (http://geo2.scholarsportal.info/). The distribution of these files (through sharing, sale, donation, transfer, or exchange) is strictly prohibited. However, any equivalent PC boundary shape file should suffice, provided it contains polygon boundaries representing postal code regions (see guide for more details).

Software File 1. "Software.GeostatisticalEpidemiologyToolbox.zip"

The Geostatistical Epidemiology Toolbox is a set of custom Python-based geoprocessing tools which function as any built-in tool in the ArcGIS system. This toolbox implements data preprocessing, geostatistical analysis and post-processing software developed to evaluate the distribution and progression of COVID-19 cases in Canada. The purpose of developing this toolbox is to allow external users without programming knowledge to utilize the software scripts which generated our analyses and was intended to be used to evaluate Canadian datasets. While the toolbox was developed for evaluating the distribution of COVID-19, it could be utilized for other purposes.

The toolbox was developed to evaluate statistically significant distributions of COVID-19 case data at Canadian Forward Sortation Area (FSA) and Postal Code-level in the province of Ontario utilizing geostatistical tools available through the ArcGIS system. These tools include: 1) Standard Gi* analysis (finds areas where cases are significantly spatially clustered), 2) spacetime based Gi* analysis (finds areas where cases are both spatially and temporally clustered), 3) cluster and outlier analysis (determines if high case regions are an regional outlier or part of a case cluster), 4) spatial autocorrelation (determines the cases in a region are clustered overall) and, 5) Empirical Bayesian Kriging analysis (creates contour maps which define the interpolation of COVID-19 cases in measured and unmeasured areas). Post-processing tools are included that import these all of the preceding results into the ArcGIS system and automatically generate PNG images.

This archive also includes a guide ("UserManual_GeostatisticalEpidemiologyToolbox_CytoGnomix.pdf") which describes in detail how to set up the toolbox, how to format input case data, and how to use each tool (describing both the relevant input parameters and the structure of the resultant output files).

Software File 2: “Software.Additional_Programs_for_Cluster_Outlier_Streak_Idendification_and_Pairing.zip"

In the manuscript associated with this archive, Perl scripts were utilized to evaluate postal code-level Cluster and Outlier analysis to identify significantly, highly clustered postal codes over consecutive periods (i.e., high-case cluster “streaks”). The identified streaks are then paired to those in close proximity, based on the neighbors of each postal code from PC centroid data ("paired streaks"). Multinomial logistic regression models were then derived in the R programming language to measure the correlation between the number of cases reported in each paired streak, the interval of time separating each streak, and the physical distance between the two postal codes. Here, we provide the 3 Perl scripts and the R markdown file which perform these tasks:

“Ontario_City_Closest_Postal_Code_Identification.pl”

Using an input file with postal code coordinates (by centroid), this program identifies the nearest neighbors to all postal codes for a given municipal region (the name of this region is entered on the command line). Postal code centroids were calculated in ArcGIS using the “Calculate Geometry” function against DMTI postal code boundary files (not provided). Input from other sources could be used, however, as long as the input includes a list of coordinates with a unique label associated with a particular municipality.

The output of this program (for the same municipal region being evaluated) is required for the following two Perl

Displays a stacked bar chart showing either the number or rate of reported cases of a single disease in any selected year (from 1991 up to 2016). Each bar represents a specific age group and is stacked to show sex breakdown within the age group. The source data table, limitations of the data and description of the selected notifiable disease are also provided.

This is the data for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE). Also, Supported by ESRI Living Atlas Team and the Johns Hopkins University Applied Physics Lab (JHU APL).Data SourcesWorld Health Organization (WHO): https://www.who.int/ DXY.cn. Pneumonia. 2020. http://3g.dxy.cn/newh5/view/pneumonia. BNO News: https://bnonews.com/index.php/2020/02/the-latest-coronavirus-cases/ National Health Commission of the People’s Republic of China (NHC): http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml China CDC (CCDC): http://weekly.chinacdc.cn/news/TrackingtheEpidemic.htm Hong Kong Department of Health: https://www.chp.gov.hk/en/features/102465.html Macau Government: https://www.ssm.gov.mo/portal/ Taiwan CDC: https://sites.google.com/cdc.gov.tw/2019ncov/taiwan?authuser=0 US CDC: https://www.cdc.gov/coronavirus/2019-ncov/index.html Government of Canada: https://www.canada.ca/en/public-health/services/diseases/coronavirus.html Australia Government Department of Health: https://www.health.gov.au/news/coronavirus-update-at-a-glance European Centre for Disease Prevention and Control (ECDC): https://www.ecdc.europa.eu/en/geographical-distribution-2019-ncov-casesMinistry of Health Singapore (MOH): https://www.moh.gov.sg/covid-19Italy Ministry of Health: http://www.salute.gov.it/nuovocoronavirus

It was estimated for 2023 that 2.8 percent of new cancer cases among females in Canada would be due to bladder cancer. Cancer is one of the leading causes of premature death and almost half the individuals in Canada will develop this disease during their lifetime. This statistic displays the distribution of estimated new cancer cases among females in Canada by cancer type as of 2023.