It is a political decision to consider whether it is
preferable to enact stricter measures at first,
lifting them gradually as required, or to start with
fewer measures and add further measures if required.
It's not a scientific question in the sense that there _is_ a consensus that methods to "flatten the curve" will reduce the load on the healthcare system, which can easily be overloaded well before the peak. It is also clear that solid scientific data will come only _weeks_ after widespread contagion. What's not clear is how to handle this _politically_, i.e which decisions to make confronted with large uncertainty and relatively short timeframes.This is mainly what Trudeau was criticized for. Sure he might be very well advised by top scientists, but he did not seem particularly interested in solving the issue _politically_. It took a few weeks before he (at least publicly) exhibited any serious interest, and then we went from 0 to 100 over a weekend.
The political response to this situation will and has to preface any solid scientific understanding.
Imperial suggested a very interesting approach, turning the measures on and off as the cases rose above and fell below a couple thresholds. You can't hit R0=1.0 exactly, but you can swap between 3.0 and 0.3 as conditions change. This would allow businesses to have a chance of survival.
Wait I'm out of the loop. The #FlattenTheCurve campaign is already wrong?
It wasn't (and still isn't) wrong to try to flatten it - it's what gives time to investigate the appropriate course of action. But unfortunately it seems like flattening won't be enough and more extreme measures (called "suppression" in the report, whereas flattening strategy is called "mitigation") need to be taken.
The report also notes that such extreme measures have never been taken on the timescale they anticipate to be required to successfully suppress the disease (basically until the cure or vaccine is found and widely distributed - at least 18 month and possibly years), so we have no idea how that will turn out.
[0] - https://www.imperial.ac.uk/media/imperial-college/medicine/s...