collaborators

7 papers

cs.CE2026

A full software stack for epidemic disease management: Unlocking the joint potential of software technology and supercomputing

Jonas Gilg, Johann Fredrik Jadebeck, Mariama Jaiteh +22

Infectious diseases remain a major threat to human societies. During the recent COVID-19 pandemic, mathematical modeling and extensive computer simulations proved highly effective…

cs.AI2026

Simulation-based inference for rapid Bayesian parameter estimation in epidemiological models: a comparison with MCMC

Alina Bazarova, Johann Fredrik Jadebeck, Henrik Zunker +5

Mechanistic epidemiological models are widely used to support infectious disease forecasting and public-health decision making. Bayesian calibration of such models is commonly perf…

math.NA2026

Efficient numerical computation of traveler states in explicit mobility-based metapopulation models: Mathematical theory and application to epidemics

Henrik Zunker, René Schmieding, Jan Hasenauer +1

Metapopulation models are powerful tools for capturing the spatio-temporal spread of infectious diseases. Models that explicitly account for traveler origins and destinations, such…

q-bio.PE2026

MEmilio -- A high performance Modular EpideMIcs simuLatIOn software for multi-scale and comparative simulations of infectious disease dynamics

Julia Bicker, Carlotta Gerstein, David Kerkmann +33

Epidemic and pandemic preparedness with rapid outbreak response rely on timely, trustworthy evidence. Mathematical models are crucial for supporting timely and reliable evidence ge…

cs.LG2026

Differentially private federated learning for localized control of infectious disease dynamics

Raouf Kerkouche, Henrik Zunker, Mario Fritz +1

In times of epidemics, swift reaction is necessary to mitigate epidemic spreading. For this reaction, localized approaches have several advantages, limiting necessary resources and…

cs.LG2026

Graph Neural Network Surrogates to leverage Mechanistic Expert Knowledge towards Reliable and Immediate Pandemic Response

Agatha Schmidt, Henrik Zunker, Alexander Heinlein +1

During the COVID-19 crisis, mechanistic models have guided evidence-based decision making. However, time-critical decisions in a dynamical environment limit the time available to g…