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Toronto Coronavirus Case Analysis Dataset
Patient Health Records & Digital Health
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About
Contains detailed demographic, geographic, and severity information for all confirmed and probable COVID-19 cases reported and managed by Toronto Public Health. The information covers cases from the beginning of the pandemic in January 2020, including both community-based (sporadic) and outbreak-associated incidents. Data is aggregated from the provincial communicable disease reporting system (iPHIS) and Toronto's custom COVID-19 case management system (CORES). Note that the data is dynamic and subject to change due to ongoing public health investigations and continuous quality improvements.
Columns
- _id: A unique identifier for each row.
- Outbreak Associated: Indicates if the case is linked to an outbreak in a healthcare or congregate setting.
- Age Group: The age of the individual at the time of illness, categorised into groups (e.g., ≤19, 20-29, 90+).
- Neighbourhood Name: The specific Toronto neighbourhood (out of 140) associated with the case.
- FSA: The Forward Sortation Area, representing the first three characters of the case's postal code.
- Source of Infection: The most likely way the individual acquired the infection (e.g., travel, close contact, community).
- Classification: Categorisation of the case as either 'CONFIRMED' or 'PROBABLE'.
- Episode Date: The earliest date associated with the case, derived from symptom onset, lab specimen collection, or report date.
- Reported Date: The date the case was officially reported to Toronto Public Health.
- Client Gender: The self-reported gender of the individual.
- Outcome: The final outcome of the case, classified as 'FATAL', 'RESOLVED', or 'ACTIVE'.
- Currently Hospitalized: A boolean value indicating if the individual is currently admitted to a hospital.
- Currently in ICU: A boolean value indicating if the individual is currently in an Intensive Care Unit.
- Currently Intubated: A boolean value indicating if the individual is currently intubated.
- Ever Hospitalized: A boolean value indicating if the individual was ever hospitalized due to their COVID-19 infection.
- Ever in ICU: A boolean value indicating if the individual was ever admitted to an ICU for their COVID-19 infection.
- Ever Intubated: A boolean value indicating if the individual was ever intubated for their COVID-19 infection.
Distribution
- Format: CSV
- Size: 1.93 MB
- Structure: The file contains 17 columns of data. The exact number of rows is updated weekly.
Usage
This data is ideal for public health research, epidemiological modelling, data visualisation projects, and local government planning. It can be used to analyse trends in case demographics, geographic spread, and severity of outcomes over time to inform public health policy and resource allocation.
Coverage
- Geographic: City of Toronto, Canada, including data for its 140 distinct neighbourhoods.
- Time Range: Covers the period from the first reported case in January 2020 onwards.
- Demographic: Includes data across various age groups and self-reported genders.
License
CC0: Public Domain
Who Can Use It
- Public Health Researchers: To study the transmission dynamics and impact of COVID-19 in an urban setting.
- Data Journalists and Visualisers: To create informative graphics and reports for the public.
- Policy Makers and Urban Planners: For evidence-based planning and response strategies.
- Students and Academics: For projects related to public health, data science, and social studies.
Dataset Name Suggestions
- Toronto COVID-19 Case Demographics and Outcomes
- Weekly COVID-19 Public Health Data for Toronto
- Toronto Coronavirus Case Analysis Dataset
- COVID-19 Epidemiological Data - Toronto
Attributes
Original Data Source: Toronto Coronavirus Case Analysis Dataset
QUALITY