{"id":23586732,"url":"https://github.com/pythonhealthdatascience/stars-publications","last_synced_at":"2026-01-25T01:32:58.273Z","repository":{"id":219123301,"uuid":"748216184","full_name":"pythonhealthdatascience/stars-publications","owner":"pythonhealthdatascience","description":"A list of all STARS publications including journals articles, conference papers, book chapters, pre-prints and presentations","archived":false,"fork":false,"pushed_at":"2024-04-30T12:27:18.000Z","size":19,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-05-17T04:07:38.348Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/pythonhealthdatascience.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2024-01-25T14:18:02.000Z","updated_at":"2024-04-30T12:27:21.000Z","dependencies_parsed_at":"2025-05-17T04:07:39.729Z","dependency_job_id":"301bc293-5081-4c55-b0ad-28fd2e423bb2","html_url":"https://github.com/pythonhealthdatascience/stars-publications","commit_stats":null,"previous_names":["pythonhealthdatascience/stars-publications"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/pythonhealthdatascience/stars-publications","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pythonhealthdatascience%2Fstars-publications","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pythonhealthdatascience%2Fstars-publications/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pythonhealthdatascience%2Fstars-publications/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pythonhealthdatascience%2Fstars-publications/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/pythonhealthdatascience","download_url":"https://codeload.github.com/pythonhealthdatascience/stars-publications/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/pythonhealthdatascience%2Fstars-publications/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28740915,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-25T01:25:41.653Z","status":"ssl_error","status_checked_at":"2026-01-25T01:25:34.364Z","response_time":89,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-12-27T04:13:50.248Z","updated_at":"2026-01-25T01:32:58.243Z","avatar_url":"https://github.com/pythonhealthdatascience.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"[![DOI](https://zenodo.org/badge/748216184.svg)](https://zenodo.org/doi/10.5281/zenodo.11092743)\n\n# 💫 STARS Publications and Artefacts\n\nA list of all STARS publications including journals articles, conference papers, book chapters, pre-prints and presentations.\n\n## Papers and tutorials supported by STARS pilot and feasibility work.\n\n* Monks, T., Harper, A., \u0026 Mustafee, N. (2024). Towards Sharing Tools and Artefacts for Reusable Simulations in Healthcare. Journal of Simulation. DOI: 10.1080/17477778.2024.2347882. http://dx.doi.org/10.1080/17477778.2024.2347882.\n  \u003e  (PREPRINT). https://doi.org/10.31219/osf.io/zrqve\n\n* Monks, T., Harper, A. (2023) Computer model and code sharing practices in healthcare discrete-event simulation: a systematic scoping review, Journal of Simulation, DOI: 10.1080/17477778.2023.2260772 https://doi.org/10.1080/17477778.2023.2260772\n\n* 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)  https://openresearch.nihr.ac.uk/articles/3-48\n\n* Harper A, Monks T, Wilson R, et al. Development and application of simulation modelling for orthopaedic elective resource planning in England. BMJ Open 2023;13:e076221. doi: 10.1136/bmjopen-2023-076221. https://doi.org/10.1136/bmjopen-2023-076221\n\n* Monks, T, \u0026 Harper, A. (2023). SimPy and StreamLit Tutorial Materials for Healthcare Discrete-Event Simulation (v1.1.0). (WEBSITE) https://health-data-science-or.github.io/simpy-streamlit-tutorial\n\n* Harper, A., Monks, T., \u0026 Manzi, S. (2023, October 10). Deploying Healthcare Simulation Models Using Containerization and Continuous Integration (PREPRINT). https://doi.org/10.31219/osf.io/qez45\n\n* Monks, T., Harper, A., Anagnostou, A., \u0026 Taylor, S. J. (2022, July 14). Open Science for Computer Simulation (PREPRINT). https://doi.org/10.31219/osf.io/zpxtm\n\n* Harper, A., \u0026 Monks, T. (2023, March). A framework to share healthcare simulations on the web using free and open source tools and Python. In Proceedings of SW21 The OR Society Simulation Workshop (pp. 250–260). Operational Research Society. Retreived June 11, 2023, from https://www.theorsociety.com/media/7313/doiorg1036819sw23030.pdf\n\n## Open Science work related to STARS\n\n*  Thomas Monks, Christine S. M. Currie, Bhakti Stephan Onggo, Stewart Robinson, Martin Kunc \u0026 Simon J. E. Taylor (2019) Strengthening the reporting of empirical simulation studies: Introducing the STRESS guidelines, Journal of Simulation, 13:1, 55-67, DOI: 10.1080/17477778.2018.1442155 https://doi.org/10.1080/17477778.2018.1442155\n\n## Code archives\n\nThe below is archived and citable code for the examples in the papers and tutorials\n\n* Monks, T., \u0026 Harper, A. (2024). Towards Sharing Tools and Artifacts for Reproducible Simulation (v1.5): an stlite template for simpy models (v0.1.0). Zenodo. https://doi.org/10.5281/zenodo.11060532\n* Monks, T., \u0026 Harper, A. (2024). Simpy JupyterLite Template (v0.1.0). Zenodo. https://doi.org/10.5281/zenodo.10987817\n* Monks, T., \u0026 Harper, A. (2023). Towards Sharing Tools, and Artifacts, for Reusable Simulation: a minimal model example (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.10026327\n* Monks, T., \u0026 Harper, A. (2023). Towards Sharing Tools and Artifacts for Reusable Simulation: deploying a `simpy` model as a web app (v1.2.0). Zenodo. https://doi.org/10.5281/zenodo.10055169\n* Monks, T., \u0026 Harper, A. (2023). Towards Sharing Tools and Artifacts for Resuable Simulation: example enhanced documentation for a `simpy` model. (v1.1.0). Zenodo. https://doi.org/10.5281/zenodo.10054063\n* Monks, T., \u0026 Harper, A. (2023). Towards Sharing Tools, Artifacts, and Reproducible Simulation: a ciw model example (v1.0.1). Zenodo. https://doi.org/10.5281/zenodo.10051495\n* Monks, T., \u0026 Harper, A. (2023). SimPy and StreamLit Tutorial Materials for Healthcare Discrete-Event Simulation (v1.1.2). Zenodo. https://doi.org/10.5281/zenodo.8193001\n* Harper, A. (2023). HEP: BMJ Open release (v1.0.1). Zenodo. https://doi.org/10.5281/zenodo.7951080\n* Harper, A. , \u0026 Monks. T. (2023). Supplementary Material: code for the deployment of a simpy and streamlit model to dockerhub (v1.0.0). Zenodo. https://doi.org/10.5281/zenodo.8011462\n\n## Docker images\n\n* SimPy App Tutorial: https://hub.docker.com/r/tommonks01/simpy-app-tutorial\n* Treatment Centre Simulation Model in Python and Streamlit: https://hub.docker.com/r/tommonks01/streamlit_sim\n* HEP Surgery Model: https://hub.docker.com/r/tommonks01/hep-sim\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonhealthdatascience%2Fstars-publications","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpythonhealthdatascience%2Fstars-publications","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpythonhealthdatascience%2Fstars-publications/lists"}