To me, the explanation is logical — some who would have died of a heart disease anyway are now dying of COVID19.
I do not want to dispute that it is having an effect — I just want to know what that effect is. Is it 20% more deaths? Or 4x (300%) more?
Considering heart related diseases have been mostly linked to COVID19 deaths, I am surprised nobody is looking at aggregated data yet, which would help more "accurately" estimate the death toll.
I suspect that it's lower than that since there's bound to be an overlap, but that's still a big range (though it can also be negative since at-risk patients might get early care due to the panic, but that would be surprising).
Note that the paper says:
> The new model predicts that the maximum total number of deaths will be approximately 62,100 across the United States due to the Covid-19 virus, and with a 95% confidence that the expected total death toll will be between 60,951 and 63,249 deaths based on the data until 22 April, 2020.
When the intervals calculated with a high confidence at different day don't overlap, it's a huge red flag.
For a more realistic interval, the paper also says:
> On 17 April, the University of Washington’s Institute for Health Metrics Evaluation (IHME) projected that there would be 60,308 Covid-19 deaths with an estimated range between 34,063 and 140,381 deaths by 4 August, which is down from 68,841 as predicted earlier on 13 April.
[1] we have something like this in Argentina, not a bank run, but something similar.