Characterization of partially observed epidemics through Bayesian inference: application to COVID-19
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We demonstrate a Bayesian method for the "real-time" characterization and forecasting of partially observed COVID-19 epidemic. Characterization is the estimation of infection spread parameters using daily counts of symptomatic patients. The method is designed ... ...
