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COVID-19

As Zentralinstitut for Scientific Computing, we provide a platform to promote your COVID-19 modelling and simulation activities and to get in contact with other researchers in the same field. If you want to contribute feel free to write a short excerpt of your efforts and send it to us (zisc@fau.de). Education and outreach is beside research of course of great importance and this is why we want to collect efforts related to scientific computing in all these areas.

Education

E01) Lecture “Algorithmik kontinuierlicher Systeme” on Pandemic models and Simulation (German)

Ulrich Rüde

Research

P07) Analytical Mechanics Allows Novel Vistas on Mathematical Epidemic Dynamics Modelling

Paul Steinmann

P06) Two simulation models for COVID-19 epidemic dynamics and some related aspects

Reinhard German, Anatoli Djanatliev, Lisa Maile, Peter Bazan, Holger Hackstein

P05) Ambulance Logistics under Covid-19 Requirements

Frauke Liers

P04) Simulations of the spread of Covid-19 for different travel scenarios

Michael Schmiedeberg

P03) COVID-19 modelling with spatial resolution

Silvia Budday, Christian Burkhardt, Andreas Kergassner, Paul Steinmann

P02) Modeling infectious diseases using integro-differential equations: Optimal control strategies for policy decisions and Applications in COVID-19

Alexander Keimer, Lukas Pflug

P01) Data-driven COVID-19 modeling

Cyprien Neverov, Enrique Zuazua

Papers and Preprints

P04) COVID-19: How to Relax Social Distancing If You Must

Daniel Duque, David Paul Morton, Bismark Singh, Zhanwei Du, Remy Pasco, Lauren Ancel Meyers

Link to Preprint: medRXiv

P03) Modeling Exit Strategies from COVID-19 Lockdown with a Focus on Antibody Tests

Paul Steinmann

Link to Preprint: arXiv

P02) Modeling Exit Strategies from COVID-19 Lockdown with a Focus on Antibody Tests

Reinhard German, Anatoli Djanatliev, Lisa Maile, Peter Bazan, Holger Hackstein

Link to Preprint: medRXiv

P01) Modeling infectious diseases using integro-differential equations: Optimal control strategies for policy decisions and Applications in COVID-19

Alexander Keimer, Lukas Pflug

Link to Preprint: ResearchGate