2022
DOI: 10.1371/journal.pone.0264060
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On an optimal testing strategy for workplace settings operating during the COVID-19 pandemic

Abstract: High quality daily testing for the presence of the SARS-CoV-2 in workplace settings has become part of the standard and mandatory protection measures implemented widely in response to the current pandemic. Such tests are often limited to a small fraction of the attending personnel due to cost considerations, limited availability and processing capabilities and the often cumbersome requirements of the test itself. A maximally efficient use of such an important and frequently scarce resource is clearly required.… Show more

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Cited by 4 publications
(2 citation statements)
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“…Still other surveillancefocused studies have explored the performance of non-adaptive combinatorial group testing [22], and the importance of self-isolation and contact tracing measures [23]. Finally, [24] proposed an optimal testing strategy to mini-mize the presence of pre-symptomatic and asymptomatic employees in the workplace.…”
Section: Related Workmentioning
confidence: 99%
“…Still other surveillancefocused studies have explored the performance of non-adaptive combinatorial group testing [22], and the importance of self-isolation and contact tracing measures [23]. Finally, [24] proposed an optimal testing strategy to mini-mize the presence of pre-symptomatic and asymptomatic employees in the workplace.…”
Section: Related Workmentioning
confidence: 99%
“…Considering the limitation of test resources, Hernandez and Valentinotti studied a optimal sample selection strategy which selected 5% or 10% of the whole population with excluding the sample of individuals who have a low probability of being infected (recently tested ones). Then under fixed numbers of tests, this strategy can effectively reduce the overall infected-person-days [ 16 ]. However, it should be mentioned that on the background of the COVID-19 local outbreaks in China, the nucleic acid test is implemented every one to three days of the whole population [ 17 , 18 ].…”
Section: Introductionmentioning
confidence: 99%