Author: Johannes Opsahl Ferstad; Angela Jessica Gu; Raymond Ye Lee; Isha Thapa; Andrew Y Shin; Joshua A Salomon; Peter Glynn; Nigam H Shah; Arnold Milstein; Kevin Schulman; David Scheinker
Title: A model to forecast regional demand for COVID-19 related hospital beds Document date: 2020_3_30
ID: jjtsd4n3_6
Snippet: As stakeholders gather data about the spread of COVID-19 in their region, the model permits them to tailor inputs and generate new estimates in real time. As new epidemiological data become available, the model is updated by those maintaining it with new age-specific rates of severe disease, critical disease, mortality and their associated LOSs. For example, the first update was from case-rates derived from data on Wuhan [20] to the case-rates de.....
Document: As stakeholders gather data about the spread of COVID-19 in their region, the model permits them to tailor inputs and generate new estimates in real time. As new epidemiological data become available, the model is updated by those maintaining it with new age-specific rates of severe disease, critical disease, mortality and their associated LOSs. For example, the first update was from case-rates derived from data on Wuhan [20] to the case-rates derived from the Imperial report.
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