Selected article for: "crisis manage and health system"
Author: Philip J. Turk; Shih-Hsiung Chou; Marc A. Kowalkowski; Pooja P. Palmer; Jennifer S. Priem; Melanie D. Spencer; Yhenneko J. Taylor; Andrew D. McWilliams
Title: Modeling COVID-19 latent prevalence to assess a public health intervention at a state and regional scale
  • Document date: 2020_4_18
    • ID: j5o8it22_54
    Snippet: In the context of limited national policy guidelines to reduce COVID-19 transmission, provide resources for healthcare system pandemic preparedness and mitigate health consequences, state and local authorities must have reliable and geographically specific models to manage the unfolding crisis. Our modeling framework provides a flexible tool using real-time data to deliver forecasting capabilities that support capacity management and . CC-BY-NC-N.....
    Document: In the context of limited national policy guidelines to reduce COVID-19 transmission, provide resources for healthcare system pandemic preparedness and mitigate health consequences, state and local authorities must have reliable and geographically specific models to manage the unfolding crisis. Our modeling framework provides a flexible tool using real-time data to deliver forecasting capabilities that support capacity management and . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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