most citedForecasting hospital demand during COVID-19 pandemic outbreaks

6 citations · 7 across the 3 of their papers we have counts for

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stat.AP2021

Bayesian sequential data assimilation for COVID-19 forecasting

Maria L. Daza-Torres, Marcos A. Capistrán, Antonio Capella +1

We introduce a Bayesian sequential data assimilation method for COVID-19 forecasting. It is assumed that suitable transmission, epidemic and observation models are available and pr…