Mr. Chair, I just want to reiterate that this is de-identified and aggregated mobility data, and in the public health context we look at different types of data and often layer on different information. Why we believe it's an important tool for now and moving forward is that you can use it to lay on epidemiological data and determine whether there is an outbreak in a certain location. If you can actually, both in real time but maybe even in modelling and prediction, know how the mobility patterns go between different areas—whether it's Canada or in the global context as well to look at the disease spread potential—that can be one way of using this information.
The other application, as has been mentioned, is to help jurisdictions look at the effectiveness of their public health measures. This de-identified and aggregated data can certainly help with that. We are in the infancy, I believe, at public health in the application of big data, and we are doing this in a very careful way to respect privacy.
However, if you look at other reports and lessons learned, you will see that public health lacks a lot of information, and this lack of information is actually laid up quite nicely in some of our external advisory [Inaudible—Editor] on the pan-Canadian data strategy.