Citation

The materials contained in this book are licensed under and MIT permissive license and free to use in your own work. We have created the material in the spirit of increasing Open Science in health research and discrete-event simulation. We would greatly appreciate a citation to this repository and our journal article, if you do use any of the code materials/code to support your data science training, research. job, or publications.

This version of the book is permanently archived at zenodo: https://doi.org/10.5281/zenodo.8159080

Please cite the code and work in this repository as follows:

Monks, Thomas, & Harper, Alison. (2023). SimPy and StreamLit Tutorial Materials for Healthcare Discrete-Event Simulation (v1.1.2). Zenodo. https://doi.org/10.5281/zenodo.8193001

@software{monks_thomas_2023_8193001,
  author       = {Monks, Thomas and
                  Harper, Alison},
  title        = {{SimPy and StreamLit Tutorial Materials for 
                   Healthcare Discrete-Event Simulation}},
  month        = jul,
  year         = 2023,
  publisher    = {Zenodo},
  version      = {v1.1.2},
  doi          = {10.5281/zenodo.8193001},
  url          = {https://doi.org/10.5281/zenodo.8193001}
}

We also created a tutorial journal article to accompany this book. It focuses on the streamlit material and its implementation in healthcare simulation. We published it in NIHR open research: https://openresearch.nihr.ac.uk/articles/3-48

Monks T and Harper A. Improving the usability of open health service delivery simulation models using Python and web apps [version 2; peer review: 3 approved]. NIHR Open Res 2023, 3:48 (https://doi.org/10.3310/nihropenres.13467.2)

@article{monksharper2023improving,
  title={Improving the usability of open health service delivery simulation models using Python and web apps},
  author={Monks, T and Harper, A},
  journal={NIHR Open Research},
  volume={3},
  pages={48},
  year={2023},
  url={https://doi.org/10.3310/nihropenres.13467.2},
  doi={10.3310/nihropenres.13467.2},
  note={Version 2; Peer Review: 3 Approved}
}