The general issue with this measure of mortality (dead/(infected + dead)) is that you're assuming that the infected won't die. In a disease that is exponentially growing, a better approximation of evaluating your survival chances is to look at the death to recovery rate (dead / (recovered + dead)). Based on the available data [1], we are closer to 7.8% than 2% mortality, which is closer to the final mortality rate of…
I do have one question and I'm asking this seriously, not to start an argument or to attack someone. I also saw this here in a lot of the posts about covid-19. We have numbers, but every time people tend to ignore them or say we should not trust the numbers, take them with a grain of salt, "I think this is way worse, it's going to get way worse" and so on. It's like there is this thirst for disaster or some global dr…
My original post aimed at clarifying that death rates in exponentially spreading diseases that have a lag between infection and possible recovery and death is a tricky topic, and that the numbers generally reported seem to not take this nuance into account.
I think collecting accurate data in the middle of a crisis is incredibly difficult for a host of reasons, none of which need to originate from ill intent. Test kits may be missing, data may be collected differently, methodologies for evaluating "who is infected" and "who has recovered" may differ between countries, patients' records might just not be a top priority for hospital staff, ...