We have loads of modeling estimates of various interventions:
Quarantines
Stay-at-home orders
School closings
Social distancing
Mask wearing
Bans on large gatherings
Closure of restaurants
Closure of non-essential businesses
Mass testing and contact tracing
However,
For practical purposes . . . we have no reliable empirical data at all on any of these measures. It makes sense that some or all of them have an effect—and it’s probably safe to say that all of them put together have an effect—but we have no idea which particular ones have a large effect vs. which ones have a small effect.
And given the vast range of assumptions used in various models, it’s not clear to me that we can trust models to tell us anything useful at the level of specific interventions.
Flying blind.
via Mother Jones