Something like 80-90% of the deaths in some states are age 80+ and or at communal living situations. Is there a takeaway here, about more surgically precise lockdowns?
Also, many projections appear to predict spread uniformly. Should spread be modeled more by frequency of travel and interaction, moreso assuming that people with frequent interactions are likely to be infected first?
There has to be a way to model, predict, and account for the ebb and flow of which demographics are getting hit, and how to shape the spread with regard to capacity and risk. Hospitals are empty, open the gates a bit. Opening up restrictions on the lowest risk populations first, and tightening them back up as cases rise too fast. This would likely be predicated on a stronger welfare state, more equipped to serve people they are asking to stay locked down. "Stay inside, but we got your back" coupled with "your risk is low, go build herd immunity, stay away from the vulnerable."
Maybe something like a pollen or wildfire indicator, or defcon, county by county. "Free to do anything. Slightly elevated risk. High risk quarantine. Quarantine for all" with week by week or day by day updates. I understand that such a volatile type of lockdown would be hard for businesses to adapt to.