sars-cov-2 epidemic after social and economic reopening in two us states reveals shifts in age structure and clinical characteristics
sars-cov-2 epidemic after social and economic reopening in two us states reveals shifts in age structure and clinical characteristics
using a bayesian inference framework on eleven daily data streams and flexible daily population contact parameters, we show that population-average mixing rates dropped by >50% during the lockdown period in march/april, and that the correlation between overall population mobility and transmission-capable mobility was broken in may as these states partially re-opened.", "infection fatality rates (ifr) estimates are higher in our analysis (>2%) than previously reported values, likely resulting from the epidemics in these three states affecting the most vulnerable sub-populations, especially the most vulnerable of the 80 age group.", 


































"a second key question to follow during this time was whether clinical characteristics of the epidemic would improve after the initial surge of cases.")