Author: Wayne M. Getz; Richard Salter; Oliver Muellerklein; Hyun S. Yoon; Krti Tallam
Title: Modeling Epidemics: A Primer and Numerus Software Implementation Document date: 2017_9_22
ID: 6riyqn4k_37
Snippet: Before presenting a stochastic formulation of Equations 11-13, it is worth noting that one can simulate continuous systems models, such as Equations 1-4, as a stochastic process of randomly occurring events using Gillespie's algorithm [28, 29] and its refinements [30] [31] [32] . This general, event-oriented approach, however, involves considerably more computations invoking numerical integration schemes than working directly with discrete models.....
Document: Before presenting a stochastic formulation of Equations 11-13, it is worth noting that one can simulate continuous systems models, such as Equations 1-4, as a stochastic process of randomly occurring events using Gillespie's algorithm [28, 29] and its refinements [30] [31] [32] . This general, event-oriented approach, however, involves considerably more computations invoking numerical integration schemes than working directly with discrete models. Further, as we stressed earlier on, a continuous-time model is theoretically no more privileged than its analogous discretized formulation that has its iteration interval synchronized with the frequency at which the data are collected.
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