Toronto Public Health has released new individual-level COVID-19 data on the City’s Open Data platform today. The information includes non-identifiable COVID-19 case data and includes many important variables to help understand the outbreak, including details on when an individual became ill, their infection source, outcome, hospitalization, age group, gender and neighbourhood. It is intended to help people to examine the pandemic’s trends over time.
COVID-19 data are informed by case and contact-tracing reports, testing results, reported symptoms, hospitalizations and deaths. The data set published on the City’s Open Data platform has undergone several privacy reviews to ensure that data are not identifiable and remain confidential. These data can help the public understand what has happened so far in the COVID-19 outbreak and inform future planning.
The data collected as of July 9 show that since the beginning of the pandemic:
- Approximately 14,777 people in Toronto have been infected with this virus.
- The majority of those infected have been aged 50 to 59 years of age.
- Approximately 12% of COVID cases have been hospitalized.
- COVID-19 has been detected among more female than male Torontonians.
- There have been 1,117 deaths.
- Approximately 13,028 people in Toronto have recovered from this virus.
The City of Toronto’s Open Data are digital data sets that are made available to the public with technical and legal characteristics necessary to be used by anyone. This platform was set up by the City to ensure full transparency and accountability while being accessible to all Toronto residents. The platform is updated regularly with new datasets.
The COVID-19 data set is subject to change due to ongoing case investigations and will continuously undergo review to improve the quality and interpretation of the data. The information will continue to be updated every Wednesday.
More information: https://open.toronto.ca/dataset/covid-19-cases-in-toronto/