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On limits of contact tracing in epidemic control

Contact tracing and quarantine are well established non-pharmaceutical epidemic control tools. The paper aims to clarify the impact of these measures in evolution of epidemic. The proposed deterministic model defines a simple rule on the reproduction number [Image: see text] in terms of ratio of dia...

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Detalles Bibliográficos
Autores principales: Piasecki, Tomasz, Mucha, Piotr B., Rosińska, Magdalena
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372969/
https://www.ncbi.nlm.nih.gov/pubmed/34407137
http://dx.doi.org/10.1371/journal.pone.0256180
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author Piasecki, Tomasz
Mucha, Piotr B.
Rosińska, Magdalena
author_facet Piasecki, Tomasz
Mucha, Piotr B.
Rosińska, Magdalena
author_sort Piasecki, Tomasz
collection PubMed
description Contact tracing and quarantine are well established non-pharmaceutical epidemic control tools. The paper aims to clarify the impact of these measures in evolution of epidemic. The proposed deterministic model defines a simple rule on the reproduction number [Image: see text] in terms of ratio of diagnosed cases and, quarantine and transmission parameters. The model is applied to the early stage of Covid19 crisis in Poland. We investigate 3 scenarios corresponding to different ratios of diagnosed cases. Our results show that, depending on the scenario, contact tracing prevented from 50% to over 90% of cases. The effects of quarantine are limited by fraction of undiagnosed cases. The key conclusion is that under realistic assumptions the epidemic can not be controlled without any social distancing measures.
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spelling pubmed-83729692021-08-19 On limits of contact tracing in epidemic control Piasecki, Tomasz Mucha, Piotr B. Rosińska, Magdalena PLoS One Research Article Contact tracing and quarantine are well established non-pharmaceutical epidemic control tools. The paper aims to clarify the impact of these measures in evolution of epidemic. The proposed deterministic model defines a simple rule on the reproduction number [Image: see text] in terms of ratio of diagnosed cases and, quarantine and transmission parameters. The model is applied to the early stage of Covid19 crisis in Poland. We investigate 3 scenarios corresponding to different ratios of diagnosed cases. Our results show that, depending on the scenario, contact tracing prevented from 50% to over 90% of cases. The effects of quarantine are limited by fraction of undiagnosed cases. The key conclusion is that under realistic assumptions the epidemic can not be controlled without any social distancing measures. Public Library of Science 2021-08-18 /pmc/articles/PMC8372969/ /pubmed/34407137 http://dx.doi.org/10.1371/journal.pone.0256180 Text en © 2021 Piasecki 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
Piasecki, Tomasz
Mucha, Piotr B.
Rosińska, Magdalena
On limits of contact tracing in epidemic control
title On limits of contact tracing in epidemic control
title_full On limits of contact tracing in epidemic control
title_fullStr On limits of contact tracing in epidemic control
title_full_unstemmed On limits of contact tracing in epidemic control
title_short On limits of contact tracing in epidemic control
title_sort on limits of contact tracing in epidemic control
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8372969/
https://www.ncbi.nlm.nih.gov/pubmed/34407137
http://dx.doi.org/10.1371/journal.pone.0256180
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