episim 0.8.0a1

Epidemiology Platform for In Silico Methods

EPISIM - Epidemiology Platform for In Silico Methods

Open-source, reproducible simulation lab for epidemiological, clinical, public-health, and allied-science study designs.

pip install episim

from episim.lab import run_design

study = run_design("cohort", seed_value=20260507, n=4_000)
study.archive("results/cohort_demo")

Status

Alpha lab build with deterministic study archives and the full Phase-1 design registry. Implemented surfaces currently include:

• cross_sectional
• case_control
• cohort
• rct_parallel
• rct_cluster
• stepped_wedge
• interrupted_time_series
• regression_discontinuity
• instrumental_variables
• propensity_score
• survival_cox
• meta_analysis
• agent_based_seir
• microsimulation_lifetable
• markov_decision
• network_contagion
• qualitative_mixed_methods
• ecological_peai

Product surface

• Package API for deterministic simulation and artifact archiving
• Lab registry via episim.lab
• 18 notebooks for the full Phase-1 design catalog
• Hugging Face Space app in apps/hf_space/
• Kaggle publishing metadata in platforms/kaggle/
• Dockerfile, Zenodo metadata, and JOSS paper skeleton

Roadmap

Phase	Timing	Contents
1	Weeks 1-8	Full 18-design teaching and methods lab
2	Weeks 9-14	Pre-registration / methods-research lab with power, bias, design-comparison, and fairness audit packages
3	Months 4-6	Generative AI simulation engine: natural-language to EPISIM Study to manuscript draft
4	Months 7-9	Beyond medicine: educational, economic, psychological, sociological, and qualitative designs

Licence

MIT (code), CC-BY 4.0 (reporting checklists and figure templates).

Citation

Siddalingaiah H. S. EPISIM: Epidemiology Platform for In Silico Methods.
Alpha lab build (2026). https://github.com/hssling/episim