10/n The authors then estimate the interventions required to bring Reff down to 1: - close schools - close universities - close some businesses - limit gatherings to 10 peoplepic.twitter.com/fNpfSmoGuB
You can add location information to your Tweets, such as your city or precise location, from the web and via third-party applications. You always have the option to delete your Tweet location history. Learn more
It makes some attempt to do so, and has sensitivity analyses addressing this point. Doesn't fully address the issue - they discuss this with relation to masks - but still a good attempt
No doubt that we need a better analysis of policy measures and I appreciate your discussion. I was just wondering whether the depend is the best possible operationalization: If R is high, it is way easier to reduce by 50% compared to a situation when R is low. (1/2)
The most severe measures (business and school closure, gathering >10 people) were probably introduced, when R was around the peak. Thus, I am not sure, whether this approach is accounting for the timing and the relative changes. That's why I was asking.
Just on masks, a proportion would have worn them pre-mandate, and a proportion continue not to wear them post-mandate (depending on enforcement), so the difference in no. may not be large. Also mask mandates have been phased, e.g. public transport first, then shops, then outside.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.