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_10
Snippet: One of the greatest challenges to continuously adjusting regional policies best tailored to meet the challenge of COVID-19 is that healthcare and political leaders lack familiarity with the concept of exponential growth of a highly transmissible deadly pathogen-particularly one with a 3-to 14-day lag between infection and needing a hospital bed. Forecasting demand for hospital resources a week to a few weeks ahead helps address that handicap......
Document: One of the greatest challenges to continuously adjusting regional policies best tailored to meet the challenge of COVID-19 is that healthcare and political leaders lack familiarity with the concept of exponential growth of a highly transmissible deadly pathogen-particularly one with a 3-to 14-day lag between infection and needing a hospital bed. Forecasting demand for hospital resources a week to a few weeks ahead helps address that handicap.
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