Group Testing for SARS-CoV-2 Allows for Up to 10-Fold Efficiency Increase Across Realistic Scenarios and Testing Strategies

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dc.contributor.authorVerdun, Claudio Mayrinkcs
dc.contributor.authorFuchs, Timcs
dc.contributor.authorHarár, Pavolcs
dc.contributor.authorElbraechter, Denniscs
dc.contributor.authorFischer, Davidcs
dc.contributor.authorBerner, Juliuscs
dc.contributor.authorGrohs, Philippcs
dc.contributor.authorTheis, Fabiancs
dc.contributor.authorKrahmer, Felixcs
dc.coverage.issue1cs
dc.coverage.volume9cs
dc.date.accessioned2022-03-29T06:54:10Z
dc.date.available2022-03-29T06:54:10Z
dc.date.issued2021-08-18cs
dc.description.abstractBackground: Due to the ongoing COVID-19 pandemic, demand for diagnostic testing has increased drastically, resulting in shortages of necessary materials to conduct the tests and overwhelming the capacity of testing laboratories. The supply scarcity and capacity limits affect test administration: priority must be given to hospitalized patients and symptomatic individuals, which can prevent the identification of asymptomatic and presymptomatic individuals and hence effective tracking and tracing policies. We describe optimized group testing strategies applicable to SARS-CoV-2 tests in scenarios tailored to the current COVID-19 pandemic and assess significant gains compared to individual testing. Methods: We account for biochemically realistic scenarios in the context of dilution effects on SARS-CoV-2 samples and consider evidence on specificity and sensitivity of PCR-based tests for the novel coronavirus. Because of the current uncertainty and the temporal and spatial changes in the prevalence regime, we provide analysis for several realistic scenarios and propose fast and reliable strategies for massive testing procedures. Key Findings: We find significant efficiency gaps between different group testing strategies in realistic scenarios for SARS-CoV-2 testing, highlighting the need for an informed decision of the pooling protocol depending on estimated prevalence, target specificity, and high- vs. low-risk population. For example, using one of the presented methods, all 1.47 million inhabitants of Munich, Germany, could be tested using only around 141 thousand tests if the infection rate is below 0.4% is assumed. Using 1 million tests, the 6.69 million inhabitants from the city of Rio de Janeiro, Brazil, could be tested as long as the infection rate does not exceed 1%. Moreover, we provide an interactive web application, available at , for visualizing the different strategies and designing pooling schemes according to specific prevalence scenarios and test configurations. Interpretation: Altogether, this work may help provide a basis for an efficient upscaling of current testing procedures, which takes the population heterogeneity into account and is fine-grained towards the desired study populations, e.g., mild/asymptomatic individuals vs. symptomatic ones but also mixtures thereof.en
dc.formattextcs
dc.format.extent1205-1218cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationFrontiers in Public Health. 2021, vol. 9, issue 1, p. 1205-1218.en
dc.identifier.doi10.3389/fpubh.2021.583377cs
dc.identifier.issn2296-2565cs
dc.identifier.other172366cs
dc.identifier.urihttp://hdl.handle.net/11012/204050
dc.language.isoencs
dc.publisherFrontiers Media S.A.cs
dc.relation.ispartofFrontiers in Public Healthcs
dc.relation.urihttps://www.frontiersin.org/articles/10.3389/fpubh.2021.583377cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2296-2565/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectgroup testingen
dc.subjectSARS-CoV-2en
dc.subjectpoolingen
dc.subjectCOVID-19en
dc.subjectinformative testingen
dc.subjectRT-PCRen
dc.titleGroup Testing for SARS-CoV-2 Allows for Up to 10-Fold Efficiency Increase Across Realistic Scenarios and Testing Strategiesen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-172366en
sync.item.dbtypeVAVen
sync.item.insts2022.03.29 08:54:10en
sync.item.modts2022.03.29 08:15:03en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav telekomunikacícs
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