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_55
Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.14.20063420 doi: medRxiv preprint evaluation of the epidemiological response to changes in policy, treatment plans and local conditions. Because we frequently refit the model based on a daily update of the data, policymakers and NC public health officials are able to use our results to work with hospital systems to plan for healthcare cap.....
Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https://doi.org/10.1101/2020.04.14.20063420 doi: medRxiv preprint evaluation of the epidemiological response to changes in policy, treatment plans and local conditions. Because we frequently refit the model based on a daily update of the data, policymakers and NC public health officials are able to use our results to work with hospital systems to plan for healthcare capacity and respond to changes in local outbreak profiles, while weighing social distancing policies.
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