The conclusions are of little informational value as the same is going to apply to practically any pathogen-borne disease (unless a vast group of the elderly had the chance to acquire prior immunity, as is the case with some strains of flu being similar to those from the past, in which case younger people are at a relative disadvantage). What is more important to realize about the virus is that (1) a death rate of 2%…
What is more important to realize is that the parameters you’re citing haven’t been borne out outside of Hubei, and that everywhere else it has emerged, it’s been...about as bad as the flu. You’re also citing numbers that every credible expert says are systematically inflated. The death rate in China is very likely exaggerated, because (as you say) the hospitals are overwhelmed with panicked locals (which tends to ha…
Statistical modeling of the case fatality rate using only cases and deaths reported from outside China was done by Christian L. Althaus (Institute of Social and Preventive Medicine, University of Bern), this estimates the CFR for COVID-19 at 2.1% although with a high uncertainty (95% confidence interval: 0.5%-5.4%). Data and R code for his modeling are available on Github: https://github.com/calthaus/ncov-cfr
A comment from Adam Kucharski (Associate Professor, London School of Hygiene & Tropical Medicine) on Twitter: https://twitter.com/AdamJKucharski/status/122970801348691148...
"... The upshot: the widely quoted 2% fatality for China is calculated incorrectly, because it's based on data that is under-reported and doesn't account for delays. But, confusingly, these errors may actually cancel out, leading to an estimate that is right for the wrong reasons ..."