Selected article for: "new case and time series"
Author: Steffen E. Eikenberry; Marina Mancuso; Enahoro Iboi; Tin Phan; Keenan Eikenberry; Yang Kuang; Eric Kostelich; Abba B. Gumel
Title: To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the COVID-19 pandemic
  • Document date: 2020_4_11
    • ID: 28utunid_30
    Snippet: We use state-level time series for cumulative mortality data compiled by Center for Systems Science and Engineering at Johns Hopkins University [47] , from January 22, 2020, through April 2, 2020, to calibrate the model initial conditions and infective contact rate, β 0 , as well as β min when β(t) is taken as an explicit function of time. Other parameters are fixed at default values in Table 1 . Parameter fitting was performed using nonlinear.....
    Document: We use state-level time series for cumulative mortality data compiled by Center for Systems Science and Engineering at Johns Hopkins University [47] , from January 22, 2020, through April 2, 2020, to calibrate the model initial conditions and infective contact rate, β 0 , as well as β min when β(t) is taken as an explicit function of time. Other parameters are fixed at default values in Table 1 . Parameter fitting was performed using nonlinear least squares algorithm implemented using the lsqnonlin function in MATLAB. We consider two US states in particular as case studies, New York and Washington, and total population data for each state was defined according to US Census data for July 1, 2019 [48] .

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