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Estimating the consequences of a COVID-19 super spreader: A stochastic model of a night on the town
A stochastic model estimated the consequences of a COVID-19 super spreader event occurring in the local municipality of Stavanger, Norway as a result of a night on the town. The model imposed different infection control regulations and compared these different scenarios. For Stavanger’s 161 location...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807544/ https://www.ncbi.nlm.nih.gov/pubmed/34304620 http://dx.doi.org/10.1177/14034948211031400 |
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author | Kolnes, Nils Henrik Eikeland, Snorre Nilsen Ersdal, Tor Albert Braut, Geir Sverre |
author_facet | Kolnes, Nils Henrik Eikeland, Snorre Nilsen Ersdal, Tor Albert Braut, Geir Sverre |
author_sort | Kolnes, Nils Henrik |
collection | PubMed |
description | A stochastic model estimated the consequences of a COVID-19 super spreader event occurring in the local municipality of Stavanger, Norway as a result of a night on the town. The model imposed different infection control regulations and compared these different scenarios. For Stavanger’s 161 locations of service, secondary transmissions from a super spreader event was estimated to infect a median of 37, requiring the quarantining of 200 guests given no infection control regulations, 23 and 167 when imposing social distancing regulations and other hygienic infection control measures, 7 infected and 63 quarantined guests with restrictions placed on the guest capacity, and 4 infected and 57 quarantined guests with both forms of restriction in use. |
format | Online Article Text |
id | pubmed-8807544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-88075442022-02-03 Estimating the consequences of a COVID-19 super spreader: A stochastic model of a night on the town Kolnes, Nils Henrik Eikeland, Snorre Nilsen Ersdal, Tor Albert Braut, Geir Sverre Scand J Public Health Original Articles A stochastic model estimated the consequences of a COVID-19 super spreader event occurring in the local municipality of Stavanger, Norway as a result of a night on the town. The model imposed different infection control regulations and compared these different scenarios. For Stavanger’s 161 locations of service, secondary transmissions from a super spreader event was estimated to infect a median of 37, requiring the quarantining of 200 guests given no infection control regulations, 23 and 167 when imposing social distancing regulations and other hygienic infection control measures, 7 infected and 63 quarantined guests with restrictions placed on the guest capacity, and 4 infected and 57 quarantined guests with both forms of restriction in use. SAGE Publications 2021-07-25 2022-02 /pmc/articles/PMC8807544/ /pubmed/34304620 http://dx.doi.org/10.1177/14034948211031400 Text en © Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Articles Kolnes, Nils Henrik Eikeland, Snorre Nilsen Ersdal, Tor Albert Braut, Geir Sverre Estimating the consequences of a COVID-19 super spreader: A stochastic model of a night on the town |
title | Estimating the consequences of a COVID-19 super spreader: A stochastic model of a night on the town |
title_full | Estimating the consequences of a COVID-19 super spreader: A stochastic model of a night on the town |
title_fullStr | Estimating the consequences of a COVID-19 super spreader: A stochastic model of a night on the town |
title_full_unstemmed | Estimating the consequences of a COVID-19 super spreader: A stochastic model of a night on the town |
title_short | Estimating the consequences of a COVID-19 super spreader: A stochastic model of a night on the town |
title_sort | estimating the consequences of a covid-19 super spreader: a stochastic model of a night on the town |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8807544/ https://www.ncbi.nlm.nih.gov/pubmed/34304620 http://dx.doi.org/10.1177/14034948211031400 |
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