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How should we interpret the "with covid" numbers when trying to estimate the chance of being asymptomatic? My intuition is people admitted to the hospital are generally less healthy than the rest of the population. Is it fair to assume that the 12% asymptomatic rate from UCSF should be a strict lower bound on the probability that a boostered and healthy 20 something (asking for a friend) person would be asymptomatic if they caught covid?

Any good estimates on the asymptomatic rate by demographic? Maybe workplaces or schools that test regularly, or from surveillance testing?