Selected article for: "AUC curve and characteristic analysis"
Author: Yao Yu Yeo; Yao-Rui Yeo; Wan-Jin Yeo
Title: A Computational Model for Estimating the Progression of COVID-19 Cases in the US West and East Coasts
  • Document date: 2020_3_27
    • ID: 8g64u3ux_22
    Snippet: We simulated our model in MATLAB to prepare for a quasi-worst-case-scenario. We employed a fourth-order Runge-Kutta method [12] to numerically solve the above specified ordinary differential equations, with the range ∈ [0, 250] and stepsize ℎ = 1 3 (both measured in days). As for the initial conditions for each coast, we assume that there will not be any pre-existing immune responses that may help defend against the virus, due to SARS-CoV-2 b.....
    Document: We simulated our model in MATLAB to prepare for a quasi-worst-case-scenario. We employed a fourth-order Runge-Kutta method [12] to numerically solve the above specified ordinary differential equations, with the range ∈ [0, 250] and stepsize ℎ = 1 3 (both measured in days). As for the initial conditions for each coast, we assume that there will not be any pre-existing immune responses that may help defend against the virus, due to SARS-CoV-2 being sufficiently divergent from other CoVs [23] . Hence, the entire population is initially susceptible due to the virus. For example, if a single infected person is introduced at 0 = 0 to a population of 53 million people (e.g. West Coast US, including Seattle), we will then have ( 0 ) = 53 * 10 6 , ( 0 ) = 1, and

    Search related documents:
    Co phrase search for related documents
    • differential equation and entire population: 1, 2
    • differential equation and fourth order: 1, 2
    • differential equation and immune response: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
    • differential equation and infected person: 1, 2, 3
    • differential equation and initial condition: 1, 2, 3, 4, 5, 6, 7
    • differential equation and MATLAB model: 1
    • differential equation and ordinary differential equation: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77
    • differential equation and Runge Kutta method: 1, 2
    • entire population and immune response: 1, 2, 3
    • entire population and infected person: 1, 2, 3, 4
    • entire population and ordinary differential equation: 1
    • fourth order and infected person: 1, 2, 3
    • fourth order and ordinary differential equation: 1, 2
    • fourth order and Runge Kutta method: 1, 2, 3, 4, 5, 6, 7, 8, 9
    • immune response and infected person: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10
    • immune response and initial condition: 1, 2, 3
    • immune response and ordinary differential equation: 1, 2, 3, 4, 5
    • immune response and pre exist: 1
    • infected person and MATLAB model: 1