Publikationen

Veröffentlichungen von OptimAgent und dessen Teilprojekten

1. Sarajan MH, Mahreen K, Vanella P, Kuhlmann A. Impact of Demographic Developments and PCV13 Vaccination on the Future Burden of Pneumococcal Diseases in Germany—An Integrated Probabilistic Differential Equation Approach. Mathematics. 2024; 12(6):796. https://doi.org/10.3390/math12060796 Link
2. Harries M, Jaeger VK, Rodiah I, Hassenstein MJ, Ortmann J, Dreier M, von Holt I, Brinkmann M, Dulovic A, Gornyk D, Hovardovska O, Kuczewski C, Kurosinski MA, Schlotz M, Schneiderhan-Marra N, Strengert M, Krause G, Sester M, Klein F, Petersmann A, Karch A, Lange B.: Bridging the gap – estimation of 2022/2023 SARS-CoV-2 healthcare burden in Germany based on multidimensional data from a rapid epidemic panel. Int J Infect Dis. 2024 Feb;139:50-58. doi: 10.1016/j.ijid.2023.11.014. Epub 2023 Nov 24. PMID: 38008353. Link 
3. Lange B, Jaeger VK, Harries M, Rücker V, Streeck H, Blaschke S, Petersmann A, Toepfner N, Nauck M, Hassenstein MJ, Dreier M, von Holt I, Budde A, Bartz A, Ortmann J, Kurosinski MA, Berner R, Borsche M, Brandhorst G, Brinkmann M, Budde K, Deckena M, Engels G, Fenzlaff M, Härtel C, Hovardovska O, Katalinic A, Kehl K, Kohls M, Krüger S, Lieb W, Meyer-Schlinkmann KM, Pischon T, Rosenkranz D, Rübsamen N, Rupp J, Schäfer C, Schattschneider M, Schlegtendal A, Schlinkert S, Schmidbauer L, Schulze-Wundling K, Störk S, Tiemann C, Völzke H, Winter T, Klein C, Liese J, Brinkmann F, Ottensmeyer PF, Reese JP, Heuschmann P, Karch A.: Estimates of protection levels against SARS-CoV-2 infection and severe COVID-19 in Germany before the 2022/2023 winter season: the IMMUNEBRIDGE project. Infection. 2024 Feb;52(1):139-153. doi: 10.1007/s15010-023-02071-2. Epub 2023 Aug 2. PMID: 37530919; PMCID: PMC10811028. Link 
4. Schulz S, Pastor R, Koyuncuoglu C, et al. Real-time Dissection and Forecast of Infection Dynamics during a Pandemic. medRxiv; 2023. DOI: 10.1101/2023.03.02.23286502. Link Preprint
5. Jarynowski, A.; Jędrzejczyk, K.; Maksymowicz, S. (2023): Grain and food security as a tool of biopolitics: real-time internet monitoring and crisis management. E-methodology 9(9), S. 96–112. Link
6. Jarynowski, A., Czekaj, Ł., Semenov, A., Belik, V. (2023): Multiplex network approach for modeling the spread of African swine fever in Poland. LNCS Lecture Notes in Computer Science (LNCS, volume 14479) ISBN 978-981-97-0668-6
7. Wójta-Kempa, M.; Skawina, A.; Płatek, D.; Jarynowski, A.; Skawina, I.; Belik, V. (2023): Social values are significant factors in control of COVID-19 the first phase pandemic. E-methodology; 9(9), S. 33–39. Link 
8. Johannes Ponge, Dennis Horstkemper, Bernd Hellingrath, Lukas Bayer, Wolfgang Bock, André Karch: Evaluating Parallelization Strategies for Large-Scale Individual-based Infectious Disease Simulations. WSC 2023: 1088-1099. Link 
9. Engels, G., Oechsle, AL., Schlegtendal, A. et al.: SARS-CoV-2 sero-immunity and quality of life in children and adolescents in relation to infections and vaccinations: the IMMUNEBRIDGE KIDS cross-sectional study, 2022. Infection 51, 1531–1539 (2023).

Veröffentlichungen von RESPINOW und dessen Teilprojekten

1. Dönges, P., Götz, T., Kruchinina, N., Krüger, T., Niedzielewski, K., Priesemann, V., & Schäfer, M. (2024). SIR Model for Households. SIAM Journal on Applied Mathematics, 84(4), 1460-1481. Link
2. Chaturvedi, M., Rodiah, I., Kretzschmar, M., Scholz, S., Lange, B., Karch, A., & Jaeger, V. K. (2024). Estimating the relative importance of epidemiological and behavioural parameters for epidemic mpox transmission: a modelling study. BMC Medicine, 22(1), 297. Link
3. Amaral, A. V. R., Wolffram, D., Moraga, P., & Bracher, J. (2024). Post-processing and weighted combination of infectious disease nowcasts. medRxiv, 2024.2008.2028.24312701. Link
4. Harries, M., Klett-Tammen, C. J., Rodiah, I., Dulovic, A., Jaeger, V. K., Krepel, J., Contreras, S., Maak, K., Marsall, P., Möller, A., Heise, J.-K., Castell, S., group, R. s., Schneiderhan-Marra, N., Karch, A., & Lange, B. (2024). Novel multiplex tools in an epidemic panel improve prediction of RSV infection dynamics and disease burden – a RESPINOW analysis. medRxiv, 2024.2011.2020.24317653. Link
5. Oróstica, K. Y., Mohr, S. B., Dehning, J., Bauer, S., Medina-Ortiz, D., Iftekhar, E. N., Mujica, K., Covarrubias, P. C., Ulloa, S., Castillo, A. E., Daza-Sánchez, A., Verdugo, R. A., Fernández, J., Olivera-Nappa, Á., Priesemann, V., & Contreras, S. (2024). Early mutational signatures and transmissibility of SARS-CoV-2 Gamma and Lambda variants in Chile. Scientific Reports, 14(1), 16000. Link
6. Contreras, S., Iftekhar, E. N., & Priesemann, V. (2023). From emergency response to long-term management: the many faces of the endemic state of COVID-19. The Lancet Regional Health – Europe, 30. Link
7. Engels, G., Oechsle, A. L., Schlegtendal, A., Maier, C., Holzwarth, S., Streng, A., Lange, B., Karch, A., Petersmann, A., Streeck, H., Blaschke-Steinbrecher, S., Härtel, C., Schroten, H., von Kries, R., Berner, R., Liese, J., Brinkmann, F., & Toepfner, N. (2023). SARS-CoV-2 sero-immunity and quality of life in children and adolescents in relation to infections and vaccinations: the IMMUNEBRIDGE KIDS cross-sectional study, 2022. Infection, 51(5), 1531-1539. Link
8. Wagner, J., Bauer, S., Contreras, S., Fleddermann, L., Parlitz, U., & Priesemann, V. (2023). Societal feedback induces complex and chaotic dynamics in endemic infectious diseases. medRxiv, 2023.2005.2025.23290509. Link
9. Zierenberg, J., Paul Spitzner, F., Dehning, J., Priesemann, V., Weigel, M., & Wilczek, M. (2023). How contact patterns destabilize and modulate epidemic outbreaks. New Journal of Physics, 25(5), 053033. Link
10. Bracher, J., Wolffram, D., Deuschel, J., Görgen, K., Ketterer, J. L., Ullrich, A., Abbott, S., Barbarossa, M. V., Bertsimas, D., Bhatia, S., Bodych, M., Bosse, N. I., Burgard, J. P., Castro, L., Fairchild, G., Fiedler, J., Fuhrmann, J., Funk, S., Gambin, A., . . . Schienle, M. (2022). National and subnational short-term forecasting of COVID-19 in Germany and Poland during early 2021. Communications Medicine, 2(1), 136. Link
11. Marsall, P., Fandrich, M., Griesbaum, J., Harries, M., Lange, B., Ascough, S., Dayananda, P., Chiu, C., Remppis, J., Ganzenmueller, T., Renk, H., Stengert, M., Schneiderhan-Marra, N., Dulovic, A., RESPINOW study consortium (2023). Development and validation of a respiratory syncytial virus multiplex immunoassay. bioRxiv, 2023.2008.2030.555534. Link 
12. Wolffram, D., Abbott, S., An der Heiden, M., Funk, S., Günther, F., Hailer, D., Heyder, S., Hotz, T., Van de Kassteele, J., Küchenhoff, H., Müller-Hansen, S., Syliqi, D., Ullrich, A., Weigert, M., Schienle, M., Bracher, J.. Collaborative nowcasting of COVID-19 hospitalization incidences in Germany. 18.04.2023. Link 
13. Schulze-Wundling, K., Ottensmeyer, P., Meyer-Schlinkmann, K., Deckena, M., Krüger, S., Schlinkert, S., Budde, A., Münstermann, D., Töpfner, N., Petersmann, A., Nauck, M., Karch, A., Lange, B., Blaschke, S., Tiemann, C., Streeck, H.. Grundimmunität gegen SARS-CoV-2 in der deutschen Bevölkerung. 06.04.2023. Link 
14. Walde, J., Chaturvedi, M., Berger, T., Bartz, A., Killewald, R., Tomori, D.V., Rübsamen, N., Lange, B., Scholz, S., Treskova, M., Bucksch, K., Jarvis, C.I., Mikolajczyk, R., Karch, A. & Jäger, V.. Effect of risk status for severe COVID-19 on individual contact behaviour during the SARS-CoV-2 pandemic in 2020/2021—an analysis based on the German COVIMOD study. 06.04.2023. Link 
15. Dehning, J., Mohr, S.B., Contreras S., Dönges, P., Iftekhar, E.N., Schulz, O., Bechtle, P., Priesemann, V. Impact of the Euro 2020 championship on the spread of COVID-19. Nature Communications. 18.01.2023. Link 
16. Contreras, S., Oróstica, K.Y., Daza-Sanches, A., Wagner J., Dönges, P., Medina-Ortiz, D., Jara, M., Verdugo, R., Conca, C., Priesemann, V., Olivera-Nappa, A. Model-based assessment of sampling protocols for infectious disease genomic surveillance. Elsevier. 03.01.2023. Link 
17. Harries, M., Jaeger, V. K., Rodiah, I., Hassenstein, M. J., Ortmann, J., Dreier, M., von Holt, I., Brinkmann, M., Dulovic, A., Gornyk, D., Hovardovska, O., Kuczewski, C., Kurosinski, M.-A., Schlotz, M., Schneiderhan-Marra, N., Strengert, M., Krause, G., Sester, M., Klein, F., . . . Lange, B. (2024). Bridging the gap – estimation of 2022/2023 SARS-CoV-2 healthcare burden in Germany based on multidimensional data from a rapid epidemic panel. International Journal of Infectious Diseases, 139, 50-58. Link 
18. Dan, S., Chen, Yu., Chen Yi., Monod, M., Jäger, V., Bhatt, S., Karch, A., Ratmann, O. Estimating fine age structure and time trends in human contact patterns from coarse contact data: the Bayesian rate consistency model. Arxiv. 20.10.2022. Link 
19. Lange, B., Jäger, V., Rücker, V., Hassenstein, M., Harries, M., Berner, R., … Karch, A. 2. Interimsanalyse des IMMUNBRIDGE-Projektes zur Kommunikation von vorläufigen Ergebnissen an das Modellierungsnetz für schwere Infektionskrankheiten. Zenodo. 12.10.2022. Link 
20. Lange, B., Jäger, V., Rücker, V., Hassenstein, M., Harries, M., Berner, R., … Karch, A. Interimsanalyse des IMMUNBRIDGE-Projektes zur Kommunikation von vorläufigen Ergebnissen an die Modellierungskonsortien der BMBF-geförderten Modellierungsplattform. Zenodo. 08.08.2022. Link 

Alle MODUS-Covid Berichte

1. 1. MODUS-COVID Bericht vom 22.02.2024
      Bostanci, Inan; Maier, Kristina; Paltra, Sydney; Rakow, Christian; Rehmann, Jakob; Schütte, Christof; Nagel, Kai; Conrad, Tim. Link
   2. MODUS-COVID Bericht vom 13.11.2023
      Analyse des zeitlichen Abstands zwischen COVID-19 Wellen und Szenarien für den Winter 2023/2024
      Nagel, Kai; Bostanci, Inan; Maier, Kristina; Müller, Sebastian Alexander; Paltra, Sydney; Rakow, Christian; Rehmann, Jakob; Conrad, Tim; Schütte, Christof. Link

Veröffentlichungen von LOKI und dessen Teilprojekten

1. 1. Antonia Bartz, Lena Böff, Manuela Harries, Madhav Chaturvedi, Nicole Rübsamen, Monika Strengert, Alex Dulovic, Nicole Schneiderhan-Marra, André Karch, Annette Aigner, Berit Lange, Veronika K Jaeger. Dynamics of contact behaviour by self-reported COVID-19 vaccination and infection status during the COVID-19 pandemic in Germany—an analysis of two large population-based studies. (2024). Link
   2. Henrik Zunker, René Schmieding, David Kerkmann, Alain Schengen, Sophie Diexer, Rafael Mikolajczyk, Michael Meyer-Hermann, Martin J. Kühn. Novel travel time aware metapopulation models: A combination with multi-layer waning immunity to assess late-phase epidemic and endemic scenarios. (2024). Link
   3. P. Kaur Betz, J. Stoll , V. Grappendorf, J. Gilg, M. Zeumer , M. Klitz, L. Spataro, A. Klein, L. Rothenhäusler, H. Bohnacker, H. Krämer M. Meyer-Hermann, S. Somogyi, A. Gerndt and M. J. Kühn „ESID: Exploring the Design and Development of a Visual Analytics Tool for Epidemiological Emergencies.“, IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses (2023). Preprint
   4. W. Koslow, M. J. Kühn, S. Binder, M. Klitz, D. Abele, A. Basermann, M. Meyer-Hermann, Appropriate relaxation of non-pharmaceutical interventions minimizes the risk of a resurgence in SARS-CoV-2 infections in spite of the Delta variant (2022). PLoS Comput Biol 18(5): e1010054. Link
   5. M. J. Kühn, D. Abele, S. Binder, K. Rack, M. Klitz, J. Kleinert, J. Gilg, L. Spataro, W. Koslow, M. Siggel, M. Meyer-Hermann, A. Basermann. Regional opening strategies with commuter testing and containment of new SARS-CoV-2 variants (2022). BMC Infectious Diseases 22:333. Link
   6. M. J. Kühn, D. Abele, T. Mitra, W. Koslow, M. Abedi, K. Rack, M. Siggel, S. Khailaie, M. Klitz, S. Binder, Luca Spataro, J. Gilg, J. Kleinert, M. Häberle, L. Plötzke, C. D. Spinner, M. Stecher, X. X. Zhu, A. Basermann, M. Meyer-Hermann. Assessment of effective mitigation and prediction of the spread of SARS-CoV-2 in Germany using demographic information and spatial resolution. Mathematical Biosciences 339, 108648 (2021). Link

Veröffentlichungen von PANDEMOS und dessen Teilprojekten

1. H. Zunker, P. Dönges, P. Lenz, S. Contreras, M. J. Kühn Risk-mediated dynamic regulation of effective contacts de-synchronizes outbreaks in metapopulation epidemic models (2025). Preprint
2. J. Bicker, R. Schmieding, M. Meyer-Hermann, M. J. Kühn Hybrid metapopulation agent-based epidemiological models for efficient insight on the individual scale: a contribution to green computing. Infectious Disease Modelling 10 (2), pp 571-590 (2025). Preprint
3. A. Schmidt, H. Zunker, A. Heinlein, M. J. Kühn Towards Graph Neural Network Surrogates Leveraging Mechanistic Expert Knowledge for Pandemic Response (2024). Preprint
4. D. Kerkmann, S. Korf, K. Nguyen, D. Abele, A. Schengen, C. Gerstein, J. H. Göbbert, A. Basermann, M. J. Kühn, M. Meyer-Hermann Agent-based modeling for realistic reproduction of human mobility and contact behavior to evaluate test and isolation strategies in epidemic infectious disease spread (2024). Preprint
5. A. Wendler, L. Plötzke, H. Tritzschak, M. J. Kühn A nonstandard numerical scheme for a novel SECIR integro-differential equation-based model allowing nonexponentially distributed stay times (2024). Preprint
6. H. Zunker, R. Schmieding, D. Kerkmann, A. Schengen, S. Diexer, R. Mikolajczyk, M. Meyer-Hermann, and M. J. Kühn Novel travel time aware metapopulation models: A combination with multi-layer waning immunity to assess late-phase epidemic and endemic scenarios (2024). Preprint
7. J. L. Malkus, M. L. Díaz, A. Schengen, T. Mocanu, and M. J. Kühn An OpenStreetMap-based approach for generating capacity-restricted POIs for activity-based travel demand modeling. (2024).
8. P. Kaur Betz, J. Stoll , V. Grappendorf, J. Gilg, M. Zeumer , M. Klitz, L. Spataro, A. Klein, L. Rothenhäusler, H. Bohnacker, H. Krämer M. Meyer-Hermann, S. Somogyi, A. Gerndt and M. J. Kühn ESID: Exploring the Design and Development of a Visual Analytics Tool for Epidemiological Emergencies. IEEE VIS Workshop on Visualization for Pandemic and Emergency Responses (Vis4PandEmRes) (2023). Link Preprint
9. S. Yosmaoglu, D. Diallo, T. Hecking, A. Schengen Refining agent-based travel demand models using social media data, Transport Research Arena, Lisbon, 2022 (2023) Link
10. M. Zeumer, J. Gilg, P. K. Betz, A. Gerndt, VVAFER—Versatile visual analytics framework for exploration and research. Electronic Imaging 35 (2023): 1-9. Link
11. M. J. Kühn, D. Abele, S. Binder, K. Rack, M. Klitz, J. Kleinert, J. Gilg, L. Spataro, W. Koslow, M. Siggel, M. Meyer-Hermann, A. Basermann. Regional opening strategies with commuter testing and containment of new SARS-CoV-2 variants (2022). BMC Infectious Diseases 22:333. Link Preprint
12. W. Koslow, M. J. Kühn, S. Binder, M. Klitz, D. Abele, A. Basermann, M. Meyer-Hermann, Appropriate relaxation of non-pharmaceutical interventions minimizes the risk of a resurgence in SARS-CoV-2 infections in spite of the Delta variant (2022). PLoS Comput Biol 18(5): e1010054. Link Preprint
13. Martin J. Kühn, Daniel Abele, Tanmay Mitra, Wadim Koslow, Majid Abedi, Kathrin Rack, Martin Siggel, Sahamoddin Khailaie, Margrit Klitz, Sebastian Binder, Luca Spataro, Jonas Gilg, Jan Kleinert, Matthias Häberle, Lena Plötzke, Christoph D. Spinner, Melanie Stecher, Xiao Xiang Zhu, Achim Basermann, Michael Meyer-Hermann, Assessment of effective mitigation and prediction of the spread of SARS-CoV-2 in Germany using demographic information and spatial resolution, Mathematical Biosciences, Volume 339, 2021, 108648, ISSN 0025-5564, https://doi.org/10.1016/j.mbs.2021.108648. Link