Assessment of the effectiveness of Omicron transmission mitigation strategies for European universities using an agent-based network model
Jana Lasser, Timotheus Hell, David Garcia

TL;DR
This study uses an agent-based model to evaluate COVID-19 mitigation strategies in European universities, revealing that current measures may be insufficient to prevent outbreaks with Omicron, even with high vaccination and mask mandates.
Contribution
It provides a data-driven simulation framework to assess the effectiveness of existing mitigation strategies in university settings during Omicron outbreaks.
Findings
High vaccination coverage alone is insufficient to prevent large outbreaks.
Reducing occupancy and mask mandates are not enough to control Omicron spread.
Controlling transmission requires additional measures beyond current strategies.
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 and efficacy, 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 sufficient scientific insight to base these decisions on. To address this problem, we analyse a calibrated, data-driven agent-based simulation of transmission dynamics of 10755…
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Taxonomy
TopicsCOVID-19 epidemiological studies · SARS-CoV-2 and COVID-19 Research · Evolution and Genetic Dynamics
