5/n Quick epi reminder - the Reff of a disease is the number of people that each infected person will go on to infect, on average, at any moment in time This is important, because it's what the results were presented in
15/n Now, as ever it is hard to infer causal conclusions from studies like this (correlation=/=causation) BUT This is a careful, well-thought-out attempt to define the benefits associated with each intervention
-
-
16/n For example, I'd say a reasonable conclusion is that the marginal benefit of stay-at-home orders on top of other interventions is probably pretty small Conversely, the benefit associated with closing universities is probably pretty big
Show this thread -
17/n I should also note that I am not an expert in Bayesian statistical methods, so I might've missed something important in terms of limitations of the models used
Show this thread -
18/n Another worthwhile point is that I think that this paper is pretty good, but as with everything I could be wrong Point out any errors I've missed!
Show this thread -
19/n Thread worth reading on some more limitations of the studyhttps://twitter.com/DiseaseEcology/status/1290364813755863041?s=20 …
Show this thread
End of conversation
New conversation -
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.