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1491-Update MEmilio citation (#1492)
Add published GNN paper and MEmilio paper preprint.
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README.md

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If you use MEmilio, please cite our work
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- Bicker J, Kerkmann D, Korf S, Plötzke L, Schmieding R, Wendler A, Zunker H et al. (2025) *MEmilio - a High Performance Modular Epidemics Simulation Software*. Available at https://github.com/SciCompMod/memilio and https://elib.dlr.de/219141/ .
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- Bicker J, Gerstein C, Kerkmann D, Korf S, Schmieding R, Wendler A, Zunker H et al. (2026) *MEmilio - A high performance Modular Epidemics Simulation software for multi-scale and comparative simulations of infectious disease dynamics*. Submitted for publication. https://doi.org/10.48550/arXiv.2602.11381
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and, in particular, for
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docs/source/literature.rst

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.. |MEmilio_citation| replace:: Bicker J, Kerkmann D, Korf S, Ploetzke L, Schmieding R, Wendler AC, Zunker H, Nguyen K, Abele D, Gerstein C, Lenz P, Betz M, Schmidt A, Hannemann-Tamas R, Volmer K, Waßmuth N, Tritzschak H, Richter D, Heger M, Basermann A, Meyer-Hermann M, Hasenauer J, Kühn MJ. (2025). *MEmilio - a High Performance Modular Epidemics Simulation Software*. Available at |MEmilio_github|_ and |MEmilio_elib|_.
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.. |MEmilio_github| replace:: https://github.com/SciCompMod/memilio
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.. _MEmilio_github: https://github.com/SciCompMod/memilio
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.. |MEmilio_elib| replace:: https://elib.dlr.de/213614/
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.. _MEmilio_elib: https://elib.dlr.de/213614/
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.. |MEmilio_citation| replace:: 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. |MEmilio_DOI|_
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.. |MEmilio_DOI| replace:: DOI:10.48550/arXiv.2602.11381
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.. _MEmilio_DOI: https://doi.org/10.48550/arXiv.2602.11381
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.. |Novel_travel_time_aware_metapopulation_models| replace:: 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. |Novel_travel_time_aware_metapopulation_models_DOI|_
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.. |Novel_travel_time_aware_metapopulation_models_DOI| replace:: DOI:10.1371/journal.pcbi.1012630
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.. |Hybrid_metapopulation_agent-based_DOI| replace:: DOI:10.1016/j.idm.2024.12.015
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.. _Hybrid_metapopulation_agent-based_DOI: https://doi.org/10.1016/j.idm.2024.12.015
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.. |Graph_Neural_Network_Surrogates| replace:: Schmidt A, Zunker H, Heinlein A, Kühn MJ. (2025). *Graph Neural Network Surrogates to leverage Mechanistic Expert Knowledge towards Reliable and Immediate Pandemic Response*. Submitted for publication. |Graph_Neural_Network_Surrogates_DOI|_
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.. |Graph_Neural_Network_Surrogates_DOI| replace:: arXiv:2411.06500
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.. _Graph_Neural_Network_Surrogates_DOI: https://arxiv.org/abs/2411.06500
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.. |Graph_Neural_Network_Surrogates| replace:: 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*. |Graph_Neural_Network_Surrogates_DOI|_
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.. |Graph_Neural_Network_Surrogates_DOI| replace:: DOI:10.1038/s41598-026-39431-5
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.. _Graph_Neural_Network_Surrogates_DOI: https://doi.org/10.1038/s41598-026-39431-5
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.. |Revisiting_the_Linear_Chain| replace:: Plötzke L, Wendler A, Schmieding R, Kühn MJ. (2024). *Revisiting the Linear Chain Trick in epidemiological models: Implications of underlying assumptions for numerical solutions*. Mathematics and Computers in Simulation 239, pp. 823-844 (2026). |Revisiting_the_Linear_Chain_DOI|_
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.. |Revisiting_the_Linear_Chain_DOI| replace:: DOI:10.1016/j.matcom.2025.07.045

docs/source/references.rst

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Recently submitted publications
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- |MEmilio_citation|
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- |Missing_Transmission_Chains|
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- |Graph_Neural_Network_Surrogates|
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- |A_nonstandard_numerical_scheme|
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- |Graph_Neural_Network_Surrogates|
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**2025**
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- |Risk-mediated_dynamic_regulation|

docs/source/team.rst

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.. dropdown:: Selected Publications
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* |MEmilio_citation|
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* |MEmilio_citation|
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* |Novel_travel_time_aware_metapopulation_models|
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* |MEmilio_citation|
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* |Agent-based_modeling_for|
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* |MEmilio_citation|
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* |Hybrid_metapopulation_agent-based|
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* |Integrative_Modeling_of_the|
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* |MEmilio_citation|
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* |A_nonstandard_numerical_scheme|
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* |MEmilio_citation|
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for Mathematical Life Sciences as a PhD student to work on infectious disease modeling.
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.. dropdown:: Selected Publications
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* |MEmilio_citation|
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* `ORCID Profile: 0009-0008-9861-0216 <https://orcid.org/0009-0008-9861-0216>`__
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Maximilian Betz
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Maximilian Betz completed his Bachelor's degree in Computer Science at the DHBW Mannheim as an integrated degree program with the Department of High-Performance Computing at the German Aerospace Center (DLR). Afterwards, he continued with a Master's in Computer Science at the University of Cologne, where he focused on Machine Learning and High Performance Computing. During the Master's, he kept working at the DLR as a student assistant with a focus on automatic generation of Python bindings, metapopulation models to simulate the spatial spread of infectious diseases and Machine Learning based parameter inference.
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.. dropdown:: Selected Publications
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* |MEmilio_citation|
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René Schmieding
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^^^^^^^^^^^^^^^
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