**MEmilio** - a high performance Modular EpideMIcs simuLatIOn software ========================================================================== .. image:: https://github.com/SciCompMod/memilio/actions/workflows/main.yml/badge.svg?branch=main :target: https://github.com/SciCompMod/memilio/actions/workflows/main.yml :alt: CI Badge .. image:: https://codecov.io/gh/SciCompMod/memilio/branch/main/graph/badge.svg?token=DVQXIQJHBM :target: https://codecov.io/gh/SciCompMod/memilio Welcome =============== MEmilio implements various models for infectious disease dynamics, ranging from simple compartmental models to complex Integro-Differential and agent-based models. Its modular design enables the combination of different models with distinct mobility patterns. Through efficient implementation and parallelization in C++ and an easy-to-use python interface, MEmilio delivers cutting-edge and compute-intensive epidemiological models to broad range of applications and users, providing precise and high-resolution spatiotemporal infectious disease dynamics. MEmilio is continuously extended and is available open-source for community use. .. image:: http://martinkuehn.eu/research/images/memilio_small_new.png :alt: Memilio Overview If you use MEmilio, please :doc:`cite our work`. .. note:: This framework is under active development, and, thus, obtains constantly new features or models. If you encounter a feature not yet documented, please :ref:`contact us directly `. .. dropdown:: :fa:`list` **Table of Contents** :animate: fade-in-slide-down .. toctree:: :maxdepth: 1 :caption: About getting_started citation references faq development team .. toctree:: :maxdepth: 2 :caption: C++ Interface cpp/overview cpp/installation cpp/model_usage cpp/model_creation cpp/development cpp/interfaces .. toctree:: :maxdepth: 2 :caption: Python Interface python/python_packages python/m-simulation python/m-epidata python/m-surrogate python/m-generation python/m-plot .. toctree:: :maxdepth: 1 :caption: Code API pythonapi/pythonapi cppapi/html/index