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Finding the infectious dose for COVID-19 by applying an airborne-transmission model to superspreader events

We probed the transmission of COVID-19 by applying an airborne transmission model to five well-documented case studies—a Washington state church choir, a Korean call center, a Korean exercise class, and two different Chinese bus trips. For all events the likely index patients were pre-symptomatic or...

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Autores principales: Prentiss, Mara, Chu, Arthur, Berggren, Karl K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182663/
https://www.ncbi.nlm.nih.gov/pubmed/35679278
http://dx.doi.org/10.1371/journal.pone.0265816
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author Prentiss, Mara
Chu, Arthur
Berggren, Karl K.
author_facet Prentiss, Mara
Chu, Arthur
Berggren, Karl K.
author_sort Prentiss, Mara
collection PubMed
description We probed the transmission of COVID-19 by applying an airborne transmission model to five well-documented case studies—a Washington state church choir, a Korean call center, a Korean exercise class, and two different Chinese bus trips. For all events the likely index patients were pre-symptomatic or mildly symptomatic, which is when infective patients are most likely to interact with large groups of people. Applying the model to those events yields results that suggest the following: (1) transmission was airborne; (2) superspreading events do not require an index patient with an unusually high viral load; (3) the viral loads for all of the index patients were of the same order of magnitude and consistent with experimentally measured values for patients at the onset of symptoms, even though viral loads across the population vary by a factor of >10(8). In particular we used a Wells-Riley exposure model to calculate q, the total average number of infectious quanta inhaled by a person at the event. Given the q value for each event, the simple airborne transmission model was used to determined S(q), the rate at which the index patient exhaled infectious quanta and N(0), the characteristic number of COVID-19 virions needed to induce infection. Despite the uncertainties in the values of some parameters of the superspreading events, all five events yielded (N(0)∼300–2,000 virions), which is similar to published values for influenza. Finally, this work describes the conditions under which similar methods can provide actionable information on the transmission of other viruses.
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spelling pubmed-91826632022-06-10 Finding the infectious dose for COVID-19 by applying an airborne-transmission model to superspreader events Prentiss, Mara Chu, Arthur Berggren, Karl K. PLoS One Research Article We probed the transmission of COVID-19 by applying an airborne transmission model to five well-documented case studies—a Washington state church choir, a Korean call center, a Korean exercise class, and two different Chinese bus trips. For all events the likely index patients were pre-symptomatic or mildly symptomatic, which is when infective patients are most likely to interact with large groups of people. Applying the model to those events yields results that suggest the following: (1) transmission was airborne; (2) superspreading events do not require an index patient with an unusually high viral load; (3) the viral loads for all of the index patients were of the same order of magnitude and consistent with experimentally measured values for patients at the onset of symptoms, even though viral loads across the population vary by a factor of >10(8). In particular we used a Wells-Riley exposure model to calculate q, the total average number of infectious quanta inhaled by a person at the event. Given the q value for each event, the simple airborne transmission model was used to determined S(q), the rate at which the index patient exhaled infectious quanta and N(0), the characteristic number of COVID-19 virions needed to induce infection. Despite the uncertainties in the values of some parameters of the superspreading events, all five events yielded (N(0)∼300–2,000 virions), which is similar to published values for influenza. Finally, this work describes the conditions under which similar methods can provide actionable information on the transmission of other viruses. Public Library of Science 2022-06-09 /pmc/articles/PMC9182663/ /pubmed/35679278 http://dx.doi.org/10.1371/journal.pone.0265816 Text en © 2022 Prentiss et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Prentiss, Mara
Chu, Arthur
Berggren, Karl K.
Finding the infectious dose for COVID-19 by applying an airborne-transmission model to superspreader events
title Finding the infectious dose for COVID-19 by applying an airborne-transmission model to superspreader events
title_full Finding the infectious dose for COVID-19 by applying an airborne-transmission model to superspreader events
title_fullStr Finding the infectious dose for COVID-19 by applying an airborne-transmission model to superspreader events
title_full_unstemmed Finding the infectious dose for COVID-19 by applying an airborne-transmission model to superspreader events
title_short Finding the infectious dose for COVID-19 by applying an airborne-transmission model to superspreader events
title_sort finding the infectious dose for covid-19 by applying an airborne-transmission model to superspreader events
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9182663/
https://www.ncbi.nlm.nih.gov/pubmed/35679278
http://dx.doi.org/10.1371/journal.pone.0265816
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