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_14
Snippet: In order to compare different scenarios, for both NC and the CRI, we define a SIR model (SIR-Pre) fit to the data from the time of the outbreak until the time of the March 26 Mecklenburg County stay-at-home order. Since Mecklenburg County is the state's second largest county, this could have a strong effect on the pandemic trajectory, both in the CRI and the state; therefore, we have used this date to delineate the date of the significant public .....
Document: In order to compare different scenarios, for both NC and the CRI, we define a SIR model (SIR-Pre) fit to the data from the time of the outbreak until the time of the March 26 Mecklenburg County stay-at-home order. Since Mecklenburg County is the state's second largest county, this could have a strong effect on the pandemic trajectory, both in the CRI and the state; therefore, we have used this date to delineate the date of the significant public health intervention. We further define a SIR model (SIR-Post) fit to the data from the time of the outbreak until the end of data collection.
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