References

The following gives an overview on (peer-reviewed) publications extending or using MEmilio. If you would like to add a publication, contact us.

Recently submitted publications

  • Bicker J, Gerstein C, Kerkmann D, Korf S, Schmieding R, Wendler A, Zunker H, Abele D, Betz M, Nguyen K, Plötzke L, Volmer K, SchmidtA, Waßmuth N, Lenz P, Richter D, Tritzschak H, Hannemann-Tamas R, Litz J, Johannssen P, Borges M, Jungklaus A, Heger M, Lange A, Kluth E, Rack K, Wieland V, Arruda J, Binder S, Klitz M, Siggel M, Dahmen M, Basermann A, Meyer-Hermann M, Hasenauer J, Kühn MJ. (2026). MEmilio – A high performance Modular EpideMIcs simuLatIOn software for multi-scale and comparative simulations of infectious disease dynamics. Submitted for publication. DOI:10.48550/arXiv.2602.11381

  • Zunker H, Schmieding R, Hasenauer J, Kühn M J (2026). Efficient numerical computation of traveler states in explicit mobility-based metapopulation models: Mathematical theory and application to epidemics. arXiv. DOI:10.1016/10.48550/arXiv.2603.11275

  • Bicker J, Tomza N, Wallrafen-Sam K, Schmid N, Hofmann A., et al. (2025). Coupled Epidemiological and Wastwater Modeling at the Urban Scale: A Case Study for Munich. medRxiv. DOI:10.1101/2025.09.25.25336633

  • Kerkouche R, Zunker H, Fritz M, Kühn MJ. (2025) Differentially private federated learning for localized control of infectious disease dynamics. arXiv. arXiv:2509.14024v1

Peer-reviewed publications

2026

  • Korf S, Wagner S J, Köster G, Kühn M J (2026). On the Effect of Missing Transmission Chain Information in Agent-Based Models: Outcomes of Superspreading Events and Workplace Transmission. Chaos, Solitons & Fractals 208 (2), July 2026, 118179. DOI:10.1016/j.chaos.2026.118179

  • Schmidt A, Zunker H, Heinlein A, Kühn MJ. (2026). Graph neural network surrogates to leverage mechanistic expert knowledge towards reliable and immediate pandemic response. Scientific Reports 16, 6361. DOI:10.1038/s41598-026-39431-5

  • Plötzke L, Wendler A, Schmieding R, Kühn MJ. (2026). Revisiting the Linear Chain Trick in epidemiological models: Implications of underlying assumptions for numerical solutions. Mathematics and Computers in Simulation 239, pp. 823-844. DOI:10.1016/j.matcom.2025.07.045

  • Wendler A, Plötzke L, Tritzschak H, Kühn MJ. (2026). A nonstandard numerical scheme for a novel SECIR integro differential equation-based model with nonexponentially distributed stay times. Applied Mathematics and Computation 509: 129636. DOI:10.1016/j.amc.2025.129636

2025

  • Zunker H, Dönges P, Lenz P, Contreras S, Kühn MJ. (2025). Risk-mediated dynamic regulation of effective contacts de-synchronizes outbreaks in metapopulation epidemic models. Chaos, Solitons & Fractals 199:116782. DOI:10.1016/j.chaos.2025.116782

  • Schmid N, Bicker J , Hofmann AF, Wallrafen-Sam K, Kerkmann D, Wieser A, Kühn MJ, Hasenauer J (2025). Integrative Modeling of the Spread of Serious Infectious Diseases and Corresponding Wastewater Dynamics. Epidemics 51:100836. DOI:10.1016/j.epidem.2025.100836

  • Kerkmann D, Korf S, Nguyen K, Abele D, Schengen A, Gerstein C, Göbbert JH, Basermann A, Kühn MJ, Meyer-Hermann M. (2025). Agent-based modeling for realistic reproduction of human mobility and contact behavior to evaluate test and isolation strategies in epidemic infectious disease spread. Computers in Biology and Medicine 193: 110269. DOI:10.1016/j.compbiomed.2025.110269

  • Diallo D, Schoenfeld J, Schmieding R, Korf S, Kühn MJ, Hecking T (2025). Integrating Human Mobility Models with Epidemic Modeling: A Framework for Generating Synthetic Temporal Contact Networks. Entropy 27(5), 507. DOI:10.3390/e27050507

  • Bicker J, Schmieding R, Meyer-Hermann M, Kühn MJ. (2025). Hybrid metapopulation agent-based epidemiological models for efficient insight on the individual scale: A contribution to green computing. Infectious Disease Modelling 10(2): 571-590. DOI:10.1016/j.idm.2024.12.015

2024

  • Zunker H, Schmieding R, Kerkmann D, Schengen A, Diexer S, Mikolajczyk R, Meyer-Hermann M, Kühn MJ. (2024). Novel travel time aware metapopulation models and multi-layer waning immunity for late-phase epidemic and endemic scenarios. PLOS Computational Biology 20(12): e1012630. DOI:10.1371/journal.pcbi.1012630

  • Memon S, Jadebeck JF, Osthege M, Wendler A, Kerkmann D, et al. (2024). Automated Processing of Pipelines Managing Now- and Forecasting of Infectious Diseases. In: 2024 47th MIPRO ICT and Electronics Convention (MIPRO), Opatija, Croatia. IEEE. pp. 1157-1162. DOI:10.1109/MIPRO60963.2024.10569336

2022

  • Kühn MJ, Abele D, Binder S, Rack K, Klitz M, et al. (2022). Regional opening strategies with commuter testing and containment of new SARS-CoV-2 variants in Germany. BMC Infectious Diseases 22(1): 333. DOI:10.1186/s12879-022-07302-9

  • 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. DOI:10.1371/journal.pcbi.1010054

2021

  • Kühn MJ, Abele D, Mitra T, Koslow W, Abedi M, et al. (2021). Assessment of effective mitigation and prediction of the spread of SARS-CoV-2 in Germany using demographic information and spatial resolution. Mathematical Biosciences 108648. DOI:10.1016/j.mbs.2021.108648