SARS-CoV-2 Risk Quantification Model and Validation Based on Large-Scale Dutch Test Events

Bas Kolen, Laurens Znidarsic, Andreas Voss, Simon Donders, Iris Kamphorst, Maarten van Rijn, Dimitri Bonthuis, Merit Clocquet, Maarten Schram, Rutger Scharloo, Tim Boersma, Tim Stobernack and Pieter van Gelder
Additional contact information
Bas Kolen: Department Values, Technology and Innovation, Delft University of Technology, 2628 CD Delft, The Netherlands
Laurens Znidarsic: Department Values, Technology and Innovation, Delft University of Technology, 2628 CD Delft, The Netherlands
Andreas Voss: Radboudumc, 6525 GA Nijmegen, The Netherlands
Simon Donders: Breda University of Applied Sciences, 4817 JS Breda, The Netherlands
Iris Kamphorst: Breda University of Applied Sciences, 4817 JS Breda, The Netherlands
Maarten van Rijn: Breda University of Applied Sciences, 4817 JS Breda, The Netherlands
Dimitri Bonthuis: Fieldlab Program Committee, 1507 CC Zaandam, The Netherlands
Merit Clocquet: Fieldlab Program Committee, 1507 CC Zaandam, The Netherlands
Maarten Schram: Fieldlab Program Committee, 1507 CC Zaandam, The Netherlands
Rutger Scharloo: Fieldlab Program Committee, 1507 CC Zaandam, The Netherlands
Tim Boersma: Fieldlab Program Committee, 1507 CC Zaandam, The Netherlands
Tim Stobernack: Radboudumc, 6525 GA Nijmegen, The Netherlands
Pieter van Gelder: Department Values, Technology and Innovation, Delft University of Technology, 2628 CD Delft, The Netherlands

IJERPH, 2022, vol. 19, issue 12, 1-11

Abstract: In response to the outbreak of SARS-CoV-2, many governments decided in 2020 to impose lockdowns on societies. Although the package of measures that constitute such lockdowns differs between countries, it is a general rule that contact between people, especially in large groups of people, is avoided or prohibited. The main reasoning behind these measures is to prevent healthcare systems from becoming overloaded. As of 2021 vaccines against SARS-CoV-2 are available, but these do not guarantee 100% risk reduction and it will take a while for the world to reach a sufficient immune status. This raises the question of whether and under which conditions events like theater shows, conferences, professional sports events, concerts, and festivals can be organized. The current paper presents a COVID-19 risk quantification method for (large-scale) events. This method can be applied to events to define an alternative package of measures replacing generic social distancing.

Keywords: COVID-19; infection risk; events (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/12/7238/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/12/7238/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:12:p:7238-:d:837767

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().