using viral genomics to estimate undetected infections and extent of superspreading events for covid-19
using viral genomics to estimate undetected infections and extent of superspreading events for covid-19
this genomics-informed modeling approach could estimate in near real-time critical surveillance metrics to inform ongoing covid-19 response efforts.", "using a bayesian inference framework to fit a branching process model to viral phylogeny and time series case data, we estimated time-varying reproductive numbers and their variance, the total numbers of infected individuals, the probability of case detection over time, and the estimated time to detection of an outbreak for 12 locations in europe, china, and the united states."


































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