@alexkx3 I tend to find that higher fatality regions especially look like the result of a natural process. An infections curve (if we could know for sure who was infected & when) would be showing the virus using up it’s available supply of susceptible people. The quicker it races ...1/n
@alexkx3 2/n through the population the quicker it runs out of susceptible victims & it burns itself out: so a fast rise in daily infections leads to fast fall. With regard to deaths curves, there are extra factors at play such as the probability distribution of time to death, ..cont’d
@alexkx3 3/n which are significant (I believe) & do affect the shape of the curve. But deaths are a consequence of the infections so it’s the same phenomenon: the faster the available supply of susceptible people is used, the faster it runs out. Faster rise leads to faster fall.
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