Selected article for: "access lack and local hospital"
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_5
    Snippet: The urgency of the challenge and widespread data sharing have led to the development of numerous models of COVID-19: models designed to share the most recent data on confirmed cases and deaths [16] ; technical models intended for use by epidemiologists [17, 18, 21] ; and models presenting high-level summaries of the potential for COVID-19 associated bed demand to overwhelm hospital capacity [9, 19, 22] . The model presented here fits the needs of.....
    Document: The urgency of the challenge and widespread data sharing have led to the development of numerous models of COVID-19: models designed to share the most recent data on confirmed cases and deaths [16] ; technical models intended for use by epidemiologists [17, 18, 21] ; and models presenting high-level summaries of the potential for COVID-19 associated bed demand to overwhelm hospital capacity [9, 19, 22] . The model presented here fits the needs of local hospital and government leaders, many of whom lack access to trained epidemiologists or data analysts. The website allows such leaders to study projections of the spread of COVID-19 based on their county-level hospitalization information, if these are available, and otherwise presents projections based on data from the rest of the US and assumptions from the literature. The model, deployed as a website, is relatively easy to understand as the underlying dynamics are specified in terms of assumptions interpretable to those with no specialist training.

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