COVID-19 Webinar on model-based evaluation of scenarios for reopening Denmark

Models to simulate the spread of SARS-CoV-2 (the virus causing COVID-19) have been developed by researchers from Statistics Denmark, the Technical University of Denmark, the University of Copenhagen and Roskilde University. These models have been used to evaluate the predicted burden on critical hospital functions, including beds on normal hospital wards and intensive care units, in connection with the gradual reopening of Denmark. The webinar will focus on the technical elements of the models, including descriptions of the models and parameter estimates that were used.
The webinary was moderated by Jakob Stoustrup (Professor, Department of Electronic Systems, Aalborg University. Following the presentations, there were a discussion of the models and parameters by Susanne Ditlevsen (professor, Department of Mathematical Sciences, University of Copenhagen), Mogens Fosgerau (professor, Department of Economics, University of Copenhagen) and Jens Lundgren (professor, Department of Infectious Diseases at Rigshospitalet and University of Copenhagen).
The group consists of:
Robert Leo Skov, SSI, project lead (Presenter 1)
Kaare Græsbøll, DTU Compute (Presenter 2 & 5)
Theis Lange, KU SUND (Presenter 3)
Lasse Engbo Christiansen, DTU Compute (Presenter 4)
Laust Hvas Mortensen, Danmarks Statistik
Sune Lehmann, DTU Compute
Uffe Høgsbro Thygesen, DTU Compute
Jonas Lybker Juul, DTU Compute
Carsten Thure Kirkeby, KU SUND
Matt Denwood, KU SUND
Tariq Halasa, KU SUND
Kim Sneppen, KU NBI
Anders Perner, Region H
Lone Simonsen, RUC
Viggo Andreasen, RUC