Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance

We propose an analysis and applications of sample pooling to the epidemiologic monitoring of COVID-19. We first introduce a model of the RT-qPCR process used to test for the presence of virus in a sample and construct a statistical model for the viral load in a typical infected individual inspired b...

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Detalles Bibliográficos
Autores principales: Brault, Vincent, Mallein, Bastien, Rupprecht, Jean-François
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932094/
https://www.ncbi.nlm.nih.gov/pubmed/33661887
http://dx.doi.org/10.1371/journal.pcbi.1008726
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author Brault, Vincent
Mallein, Bastien
Rupprecht, Jean-François
author_facet Brault, Vincent
Mallein, Bastien
Rupprecht, Jean-François
author_sort Brault, Vincent
collection PubMed
description We propose an analysis and applications of sample pooling to the epidemiologic monitoring of COVID-19. We first introduce a model of the RT-qPCR process used to test for the presence of virus in a sample and construct a statistical model for the viral load in a typical infected individual inspired by large-scale clinical datasets. We present an application of group testing for the prevention of epidemic outbreak in closed connected communities. We then propose a method for the measure of the prevalence in a population taking into account the increased number of false negatives associated with the group testing method.
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spelling pubmed-79320942021-03-10 Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance Brault, Vincent Mallein, Bastien Rupprecht, Jean-François PLoS Comput Biol Research Article We propose an analysis and applications of sample pooling to the epidemiologic monitoring of COVID-19. We first introduce a model of the RT-qPCR process used to test for the presence of virus in a sample and construct a statistical model for the viral load in a typical infected individual inspired by large-scale clinical datasets. We present an application of group testing for the prevention of epidemic outbreak in closed connected communities. We then propose a method for the measure of the prevalence in a population taking into account the increased number of false negatives associated with the group testing method. Public Library of Science 2021-03-04 /pmc/articles/PMC7932094/ /pubmed/33661887 http://dx.doi.org/10.1371/journal.pcbi.1008726 Text en © 2021 Brault et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://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
Brault, Vincent
Mallein, Bastien
Rupprecht, Jean-François
Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance
title Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance
title_full Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance
title_fullStr Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance
title_full_unstemmed Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance
title_short Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance
title_sort group testing as a strategy for covid-19 epidemiological monitoring and community surveillance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7932094/
https://www.ncbi.nlm.nih.gov/pubmed/33661887
http://dx.doi.org/10.1371/journal.pcbi.1008726
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