Abstract for: Design of the System Dynamics Longitudinal Analysis System: Quantifying the Hidden Trajectories of System Dynamics Models
The purpose of this document is to demonstrate a new set of algorithms which utilize dynamic programming techniques to solve two typical longitudinal statistics for aggregate population models. The paper first discussed some significant values of longitudinal statistics for system dynamic model calibrations and individual history-targeted interventions. It also addressed the current limitations of people who are facing difficulties in order to access the underlying dynamics of individual health patterns within populations. A detailed example of how to quantify the hidden trajectories for a basic SIR (non-linear) model has been demonstrated in this paper. The future work may involve in developing more algorithms to identify the trajectory statistics and implement one or more GUI-based software systems to permit application of algorithms.