More testing = lower mortality rate.
The alarming mortality statistics from Wuhan and Italy turned out to be extremely high due to lack of available testing and mild cases that were never reported.
Statistically there are likely already thousands of unreported cases in Seattle, but nobody can get tested. If you have a fever, people are being asked to stay home and not go to the hospital at all. So they’re not even counted in the official numbers.
Source? You're ignoring the fact that the number of deaths lags behind the number of people infected, which means the numerator is also being underestimated. Assume people either will/will not die three days from diagnosis. Then the naive case fatality rate is (for small t)
CFR_naive = [D exp(t - 3)] / [I exp(t)]
with D and I appropriate constants and t the number of days. The corrected CFR becomes CFR = CFR_naive * exp(3)
That is, in this simple model, the true CFR is underestimated by approx 20.Do you mean that the limiting factor is e.g. ventilators and that these countries haven’t exhausted their capacity yet?