The Micro and the Macro of Covid-19
Or, The Case of the Invisible Denominator I've been chatting with Jay Bhattacharya , Professor at the Stanford School of Medicine, and co-author of a very thought-provoking piece on mortality rates under covid-19 . Briefly, these authors study incidence rates in three cases where either a full census of tests was conducted, as in the Italian town of VĂ² in Padua, or where a random sample was drawn, as in Iceland. Using incidence rates for covid from these cases, they suggest that the fatality rate for covid is far lower than we think, or fear. Going beyond these cases, the problem, of course, is a missing denominator: just how many are infected? Assuming we accurately know the deaths from covid-19 --- possibly not , but setting that aside --- the unknown denominator of actual cases moves us along an "isoquant" of fatality rates and contagion rates, which multiply out to the known deaths. The higher the contagion, the lower must be the fatality rate, for some given...