NTNU COVID-19 Modelling Taskforce
The NTNU COVID-19 Modelling Taskforce has developed a unique computational platform capable of identifying effective testing regimes, optimal ways of lifting restrictions while ensuring the epidemic is limited, as well as differentiating control measures between regions and municipalities. The central part of our platform is a high-resolution epidemiological network model that relies on detailed demographic and statistical data that is interfaced with advanced nonlinear optimal control methodology.
This is a highly transdisciplinary undertaking, combining critical knowledge from the Life Sciences, Mathematical Sciences, Engineering and Economics. The taskforce members come from the faculties of Information Technology and Electrical Engineering, Natural Sciences, Medicine and Health Sciences, and Economics and Management.
The diagram below outlines how we perceive our role as provider of decision support information to Norwegian governmental agencies and authorities.
The dotted black lines reflect that we use the latest official Norwegian policies and reports as a base-line for our work. However, the primary use of the modelling framework is to present optimal, but still feasibility-constrained, policy regimes that follow from a set of alternative control objectives scenarios. The construction of these scenarios are guided by results from a Norwegian macroeconomic model.
The team leaders of the four main pillars of the modelling framework are:
- NTNU Data analysis: Professor Ingelin Steinsland
- NTNU Model predictive control: Professor Thor I. Fossen
- NTNU Epidemiological network model: Professor Eivind Almaas
- NTNU Economic analysis of policy regimes: Professor Asgeir Tomasgard
If you have questions about the NTNU COVID-19 Modelling Taskforce activity beyond what you find on this website, please contact:
Stig W. Omholt, Email: email@example.com, Phone: +47 90 94 09 85
Taskforce Team Members
Central Norway Regional Health Authority (Helse Midt-Norge):
St. Olavs Hospital: