NTNU COVID-19 ingress

This website is the primary outreach channel for NTNU’s taskforce dedicated to the understanding and control of the COVID-19 dynamics in Norway. NTNU's motivation for setting up this taskforce is to generate valuable insights that can support the Norwegian authorities in their endeavour to manage the pandemic as safely and effectively as possible. 

The justification for the way we approach the COVID-19 predicament is that the COVID-19 dynamics and our attempts to contain and eradicate it, constitute a very complex system with numerous negative and positive feedback loops. Systems such as these are very difficult to analyse and control in an optimal way, unless one makes use of the very same theoretical tools that much of the technology underlying modern civilization is based on.

This work is funded by NTNU as part of its societal responsibility.

NTNU COVID-19

NTNU COVID-19 Taskforce

 

The NTNU COVID-19 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.

Please visit this page for further documentation of our work and current results.

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: 


If you have questions about the NTNU COVID-19 Taskforce activity beyond what you find on this website, please contact:

Stig W. Omholt, Email: stig.omholt@ntnu.no, Phone: +47 90 94 09 85

Taskforce Team Members

Taskforce members

Epidemiological network model:
Eivind Almaas
André Voigt
Martina Hall
Nikolay Martyushenko
Emil Karlsen
Kristen Nyhamar
Signe Sævareid
Pål Røynestad

Model predictive control:
Thor I. Fossen
Erlend M. Lervik Coates
Pål Holthe Mathisen
Morten Hovd
Edmund Førland Brekke

Data analysis:
Ingelin Steinsland
Harald Martens
Adil Rasheed
Geir-Arne Fuglstad
Andrea I. Riebler
Johan Håkon Bjørngaard
Pål R. Romundstad

Economic analysis:
Asgeir Tomasgard
Paolo Pisciella
Simon Risanger
Steffen J. Bakker

HUNT Cloud:
Oddgeir Lingaas Holmen
Matus Kosut
Sandor Zeestraten
Tom-Erik Røberg
Qussay Ghazeia

Virological expertise:
Andreas Christensen

Trøndelag Health Study data (The HUNT Study):
Steinar Krokstad
Signe Opdahl
Erik R. Sund

 

Assisting resources

Central Norway Regional Health Authority (Helse Midt-Norge):
Nina Hagesæther

St. Olavs Hospital:
Andreas Asheim

Aker Scholarship:
Bjørn Blindheim