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SARS-CoV-2 Risk Quantification Model and Validation Based on Large-Scale Dutch Test Events
Bas Kolen1,2, Laurens Znidarsic1, Andreas Voss3,4
1Department Values, Technology and Innovation, Delft University of Technology, 2628 CD Delft, The Netherlands.
This study introduces a COVID-19 risk quantification method for large-scale events. It offers an alternative to generic social distancing, enabling safer event organization during the pandemic.
Area of Science:
- Public Health
- Epidemiology
- Event Management
Background:
- Governments worldwide implemented lockdowns in 2020 due to the SARS-CoV-2 outbreak to prevent healthcare system overload.
- While vaccines became available in 2021, they do not offer complete risk reduction, necessitating continued precautions.
- The feasibility of organizing large-scale events like concerts and festivals remains a concern.
Purpose of the Study:
- To present a novel method for quantifying COVID-19 risk at large-scale events.
- To provide a framework for developing alternative safety measures beyond generic social distancing.
- To support the safe resumption of public gatherings and events.
Main Methods:
- Development of a risk quantification model specific to COVID-19 transmission at events.
- Application of the model to assess risks associated with various event types.
- Integration of risk assessment into the planning of event-specific mitigation strategies.
Main Results:
- The proposed method allows for a quantitative assessment of COVID-19 risks at events.
- It facilitates the design of tailored safety protocols adaptable to different event scenarios.
- The quantification method serves as a basis for replacing broad social distancing mandates.
Conclusions:
- A quantifiable risk assessment method for COVID-19 at events has been established.
- This approach enables the development of event-specific risk management strategies.
- The findings support the conditional organization of large-scale events during the pandemic.
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