Activities per year
Abstract
Returning universities to full on-campus operations while the COVID-19 pandemic is ongoing has been a controversial discussion in many countries. The risk of large outbreaks in dense course settings is contrasted by the benefits of in-person teaching. Transmission risk depends on a range of parameters, such as vaccination coverage, number of contacts and adoption of non-pharmaceutical intervention measures (NPIs). Due to the generalised academic freedom in Europe, many universities are asked to autonomously decide on and implement intervention measures and regulate on-campus operations. In the context of rapidly changing vaccination coverage and parameters of the virus, universities often lack the scientific facts to base these decisions on. To address this problem, we analyse a calibrated, data-driven simulation of transmission dynamics of 10755 students and 974 faculty in a medium-sized university. We use a co-location network reconstructed from student enrolment data and calibrate transmission risk based on outbreak size distributions in other Austrian education institutions. We focus on actionable interventions that are part of the already existing decision-making process of universities to provide guidance for concrete policy decisions. Here we show that with the vaccination coverage of about 80% recently reported for students in Austria, universities can be safely reopened if they either mandate masks or reduce lecture hall occupancy to 50%. Our results indicate that relaxing NPIs within an organisation based on the vaccination coverage of its sub-population can be a way towards limited normalcy, even if nation wide vaccination coverage is not sufficient to prevent large outbreaks yet.
Original language | English |
---|---|
Number of pages | 6 |
DOIs | |
Publication status | Published - 16 Nov 2021 |
Fingerprint
Dive into the research topics of 'High COVID-19 vaccine coverage allows for a re-opening of European universities'. Together they form a unique fingerprint.-
Agent-based simulation to asses the effectiveness of COVID-19 prevention measures in schools
Lasser, J. (Speaker)
12 Oct 2021Activity: Talk or presentation › Invited talk › Science to science
-
Open or closed? Agent-based Simulations of SARS-CoV-2 Prevention Measures in Austrian Schools
Lasser, J. (Speaker)
11 May 2021Activity: Talk or presentation › Invited talk › Science to science
-
Open or closed? Agent-based Simulations of SARS-CoV-2 Prevention Measures in Austrian Schools
Lasser, J. (Speaker)
17 Jun 2021Activity: Talk or presentation › Invited talk › Science to science
Research output
- 3 Article
-
Assessing the impact of SARS-CoV-2 prevention measures in Austrian schools using agent-based simulations and cluster tracing data
Lasser, J., Sorger, J., Richter, L., Thurner, S., Schmid, D. & Klimek, P., Dec 2022, In: Nature Communications . 13, 1, 554.Research output: Contribution to journal › Article › peer-review
Open Access -
Assessment of the effectiveness of Omicron transmission mitigation strategies for European universities using an agent-based network model
Lasser, J., Hell, T. & Garcia, D., 19 Dec 2022, In: Clinical Infectious Diseases. 75, 12, p. 2097-2103 7 p., ciac340.Research output: Contribution to journal › Article
Open Access -
Simulation der Ausbreitung der SARS-CoV-2-Variante Omikron an einer Universität
Lasser, J. & Hell, T., 24 Jun 2022, In: Mitteilungen der Deutschen Mathematiker-Vereinigung. 30, 2, p. 103-107Research output: Contribution to journal › Article