Rapid, large-scale, and effective detection of COVID-19 via non-adaptive testing

DOI10.1016/j.jtbi.2020.110450zbMath1455.92076OpenAlexW3048889434WikidataQ98567681 ScholiaQ98567681MaRDI QIDQ827753

Matthias Täufer

Publication date: 13 January 2021

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428746

zbMATH Keywords

polymerase chain reactionCOVID-19SARS-CoV-2non-adaptive testingpool testing

Mathematics Subject Classification ID

Medical applications (general) (92C50)

Related Items (3)

Real-valued group testing for quantitative molecular assays ⋮ A tractable non-adaptative group testing method for non-binary measurements ⋮ A recovery algorithm and pooling designs for one-stage noisy group testing under the probabilistic framework

Cites Work

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• A mathematical introduction to compressive sensing
• Non-Adaptive Group Testing: Explicit Bounds and Novel Algorithms
• Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
• Performance of Group Testing Algorithms With Near-Constant Tests Per Item
• On Almost Disjunct Matrices for Group Testing
• Group Testing: An Information Theory Perspective

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