The repositories accompany the DES RAP Book - an open educational resource on reproducible discrete-event simulation (DES) in Python and R. The book demonstrates best practices for building, validating, and sharing DES models within a reproducible analytical pipeline (RAP).
The pydesrap_stroke and rdesrap_stroke repositories implement and replicate a stroke service capacity planning model (originally developed in Simul8) from:
Monks T, Worthington D, Allen M, Pitt M, Stein K, James MA. A modelling tool for capacity planning in acute and community stroke services. BMC Health Serv Res. 2016 Sep 29;16(1):530. doi: 10.1186/s12913-016-1789-4. PMID: 27688152; PMCID: PMC5043535.
Model diagram:
