MEmilio - a high performance Modular EpideMIcs simuLatIOn software
MEmilio implements various models for infectious disease dynamics, from simple compartmental models through
Integro-Differential equation-based models to agent- or individual-based models. Its modular design allows the
combination of different models with different mobility patterns. Through efficient implementation and
parallelization, MEmilio brings cutting edge and compute intensive epidemiological models to a large scale,
enabling a precise and high-resolution spatiotemporal infectious disease dynamics. MEmilio will be extended
continuously. It is available open-source and we encourage everyone to make use of it.
If you use MEmilio, please cite our works:
- Kühn, Martin Joachim und Abele, Daniel und Kerkmann, David und Korf, Sascha Alexander und Zunker, Henrik und Wendler, Anna Clara und Bicker, Julia und Nguyen, Dang Khoa und Klitz, Margrit und Koslow, Wadim und Siggel, Martin und Kleinert, Jan und Rack, Kathrin und Binder, Sebastian und Plötzke, Lena und Schmieding, René und Lenz, Patrick und Betz, Maximilian Franz und Lutz, Annette und Gerstein, Carlotta und Schmidt, Agatha und Meyer-Hermann, Michael und Basermann, Achim (2022) MEmilio - a high performance Modular EpideMIcs simuLatIOn software (2022). https://github.com/SciCompMod/memilio, https://elib.dlr.de/192140/.
- Koslow W, Kühn MJ, Binder S, Klitz M, Abele D, et al. (2022) Appropriate relaxation of non-pharmaceutical interventions minimizes the risk of a resurgence in SARS-CoV-2 infections in spite of the Delta variant. PLOS Computational Biology 18(5): e1010054. https://doi.org/10.1371/journal.pcbi.1010054