Selected article for: "exponential terminal time and gamma terminal time"

Author: Lin, Feng; Muthuraman, Kumar; Lawley, Mark
Title: An optimal control theory approach to non-pharmaceutical interventions
  • Document date: 2010_2_19
  • ID: 0x294f8t_48
    Snippet: proportion people are infectious, i.e., i0 ≤ 1%, and the difference between the selected gamma and exponential terminal time exceeds 60% of the maximum of these two. For example, in a case where i 0 = 1%, S 0 = 95%, gamma terminal time = 235 days and exponential terminal time = 55 days, the difference in cumulative death is 32.04%......
    Document: proportion people are infectious, i.e., i0 ≤ 1%, and the difference between the selected gamma and exponential terminal time exceeds 60% of the maximum of these two. For example, in a case where i 0 = 1%, S 0 = 95%, gamma terminal time = 235 days and exponential terminal time = 55 days, the difference in cumulative death is 32.04%.

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