Selected article for: "epidemic curve and model simulation"

Author: Richard M Wood; Christopher J McWilliams; Matthew J Thomas; Christopher P Bourdeaux; Christos Vasilakis
Title: COVID-19 scenario modelling for the mitigation of capacity-dependent deaths in intensive care: computer simulation study
  • Document date: 2020_4_6
  • ID: e79k4q76_15
    Snippet: During the simulation, events are iterated in line with the three-phased method until some terminating criterion is met. Here, this is given by the time at which some outcome has been reached for all simulated admissions for the given epidemic curve (for cases requiring hospitalisation), i.e. each sought admission has been either rejected or admitted and discharged (event types c-e). In other words, and given the time-inhomogeneous nature of the .....
    Document: During the simulation, events are iterated in line with the three-phased method until some terminating criterion is met. Here, this is given by the time at which some outcome has been reached for all simulated admissions for the given epidemic curve (for cases requiring hospitalisation), i.e. each sought admission has been either rejected or admitted and discharged (event types c-e). In other words, and given the time-inhomogeneous nature of the epidemic curve, this is a transient simulation model. As such, and in contrast to simulation models exploring steady-state behaviour, an otherwise necessary warm-up period is not required (Law & Kelton, 2000) .

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