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_63
    Snippet: Our model was limited in several ways. First, although HJB can be derived for models assuming general terminal time (e.g., gamma), so far the control policy can only be computed assuming exponential terminal time. Second, the present modeling framework does not capture uncertainty in parameter estimation, i.e. the model accuracy relies on accurate estimation of input parameters. In practice, collection of accurate data and estimation of input par.....
    Document: Our model was limited in several ways. First, although HJB can be derived for models assuming general terminal time (e.g., gamma), so far the control policy can only be computed assuming exponential terminal time. Second, the present modeling framework does not capture uncertainty in parameter estimation, i.e. the model accuracy relies on accurate estimation of input parameters. In practice, collection of accurate data and estimation of input parameters from data can be challenging and time consuming. Third, the present modeling framework assumes equal effect of various NPIs in a homogeneously-mixed population, while different NPIs will have distinct impacts for disparate population groups. Finally, bang-bang control must be further refined since it is not clear that on/off implementation is realistic for larger communities. To better apply optimal control methods in disease control problems, continued efforts should be made to refine the present model and to better estimate the input parameters.

    Search related documents:
    Co phrase search for related documents
    • accurate estimation and equal effect: 1
    • continued effort and disease control: 1
    • control method and disease control: 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
    • control method and disease control problem: 1
    • control policy and disease control: 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
    • control policy and disease control problem: 1
    • control policy and exponential terminal time: 1, 2, 3, 4, 5
    • control policy and gamma terminal time: 1
    • different npi and disease control: 1
    • disease control and distinct impact: 1
    • disease control and exponential terminal time: 1
    • disease control and gamma terminal time: 1
    • exponential terminal time and gamma terminal time: 1, 2