opencovid (COVID-19 Canada Open Data Working Group) is gathering a bunch of timely data, as best one can given Canada's somewhat stifling digital data for health architecture. There seem to be silos and empires of data in health and public health in each province and territory. It is getting better, though. From the beginning of the Public Health Emergency of International Concern in January till now, overall the tempo and quality of data is improving. And tools developed for data scientists to do surveillance capitalism and the monitoring of your searches online and purchases has provided a lot of infrastructure for data storage and visualizations that have proved to be life-savers.
All data is downloaded from opencovidca websites, see the Get the Data link:
Open Covid has some nice stuff in the View Dashboard link.
To use the data, I just do a git pull and and then some python to process the timeseries files in the data tranche.
Because, I was reading the Toronto Star one day, and they quoted Doug Ford had claimed Ontario had the best (lowest) rate of cases per 100000 of any major jurisdictions in North America. I believe in the press conference he qualified the statement further. But, it was wrong as quoted. BC had a lower rate on that day. So I went looking for more data, and found opencovid.ca and it has a daily update at the Health Unit level. This data shows that Toronto Public Health has a higher cases per capita or percent or per any unit than a major jurisdictions in NA (Ontario). Toronto public health has more population than Saskatchewan and Manitoba, so it is a major jurisdiction. And Peel is worse.