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10.1371/journal.pcbi.1008726

http://scihub22266oqcxt.onion/10.1371/journal.pcbi.1008726
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33661887!7932094!33661887
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suck abstract from ncbi


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pmid33661887      PLoS+Comput+Biol 2021 ; 17 (3): e1008726
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  • Group testing as a strategy for COVID-19 epidemiological monitoring and community surveillance #MMPMID33661887
  • Brault V; Mallein B; Rupprecht JF
  • PLoS Comput Biol 2021[Mar]; 17 (3): e1008726 PMID33661887show ga
  • 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.
  • |*Epidemiological Monitoring[MESH]
  • |*Group Processes[MESH]
  • |COVID-19 Testing/*methods[MESH]
  • |COVID-19/*diagnosis/*epidemiology/virology[MESH]
  • |Datasets as Topic[MESH]
  • |Humans[MESH]
  • |Luxembourg/epidemiology[MESH]
  • |Population Surveillance/*methods[MESH]
  • |Prevalence[MESH]
  • |SARS-CoV-2/*isolation & purification[MESH]


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