Research output per year
Research output per year
Project Details
Description
This project came together as an ad-hoc reaction to the participants' urge to contribute to pandemic modeling, leveraging expertise from the dynamical systems community in Sweden.
Much effort was spent on raising awareness of how limitations in data impact model quality, and we have had many fruitful discussions with public health and epidemiology professionals.
Project results were disseminated broadly through publication in Nature and other journals; interviews in Swedish and Finish national radio; popular scientific articles; a web platform; and several plenary and invited talks in different contexts.
The work was partially funded by the Swedish Research Council (VR), and by Strategic Research funds from the faculty of Engineering at Lund University. The project was nominated and also added to the "100 list" of the Swedish Academy of Engineering Sciences.
Much effort was spent on raising awareness of how limitations in data impact model quality, and we have had many fruitful discussions with public health and epidemiology professionals.
Project results were disseminated broadly through publication in Nature and other journals; interviews in Swedish and Finish national radio; popular scientific articles; a web platform; and several plenary and invited talks in different contexts.
The work was partially funded by the Swedish Research Council (VR), and by Strategic Research funds from the faculty of Engineering at Lund University. The project was nominated and also added to the "100 list" of the Swedish Academy of Engineering Sciences.
| Status | Finished |
|---|---|
| Effective start/end date | 2020/01/01 → 2022/12/31 |
Collaborative partners
- Lund University (lead)
- Linköping University
UKÄ subject classification
- Control Engineering
- Public Health, Global Health, Social Medicine and Epidemiology
Research output
-
Limitations of time-delayed case isolation in heterogeneous SIR models
Hansson, J., Govaert, A., Pates, R., Tegling, E. & Soltesz, K., 2022, (Accepted/In press) American Control Conference. Vol. 2022.Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review
Open Access -
Estimating the SARS-CoV-2 infected population fraction and the infection-to-fatality ratio: A data-driven case study based on Swedish time series data
Wacker, A., Jöud, A., Bernhardsson, B., Gerlee, P., Soltesz, K. & Gustafsson, F., 2021, In: Scientific Reports. 11, 23963.Research output: Contribution to journal › Article › peer-review
Open Access -
Fler randomiserade tester hade lärt oss mer om pandemin
Gustafsson, F., Wacker, A., Bernhardsson, B. & Soltesz, K., 2021 Mar 8, Ny teknik.Research output: Contribution to specialist publication or newspaper › Newspaper article
Open Access
-
Varnade för massdöd–scenariot slog aldrig in
Kristian Soltesz (Interviewee)
2022 Feb 20Activity: Other › Media participation
-
Dynamiska modeller i kampen mot Covid-19
Kristian Soltesz (Invited speaker)
2021 Nov 14Activity: Talk or presentation › Invited talk
-
Informatics in medicine unlocked (Journal)
Kristian Soltesz (Peer reviewer)
2021 OctActivity: Publication peer-review and editorial work › Journal/Manuscript peer review
Prizes
-
Royal Swedish Academy of Engineering Sciences "100-list" 2021
Soltesz, Kristian (Recipient), 2021
Prize: Other distinction