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


ABSTRACT: 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.

SUBMITTER: Brault V 

PROVIDER: S-EPMC7932094 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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

Brault Vincent V   Mallein Bastien B   Rupprecht Jean-François JF  

PLoS computational biology 20210304 3


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 pre  ...[more]

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