Virus testing optimisation using Hadamard pooling
This article has been Reviewed by the following groups
Listed in
- Evaluated articles (Rapid Reviews Infectious Diseases)
Abstract
Pooled testing is an established strategy for efficient surveillance testing of infectious diseases with low-prevalence. Pooled testing works by combining clinical samples from multiple individuals into one test, where a negative result indicates the whole pool is disease free and a positive result indicates that individual testing is needed. Here we present a straightforward and simple method for pooled testing that uses the properties of Hadamard matrices to design optimal pooling strategies. We show that this method can be used to efficiently identify positive specimens in large sample sizes by simple pattern matching, without the requirement of complex algorithms.
Article activity feed
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Tomer Hertz
Review 3: "Virus Testing Optimisation Using Hadamard Pooling"
Reviewers requested further analysis of positivity rates to validate its advantages over other pooling strategies and noted ambiguities when multiple samples test positive. They also recommended addressing error rates from failed tests.
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Kimberly Butler
Review 2: "Virus Testing Optimisation Using Hadamard Pooling"
Reviewers requested further analysis of positivity rates to validate its advantages over other pooling strategies and noted ambiguities when multiple samples test positive. They also recommended addressing error rates from failed tests.
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Tara Furstenau
Review 1: "Virus Testing Optimisation Using Hadamard Pooling"
Reviewers requested further analysis of positivity rates to validate its advantages over other pooling strategies and noted ambiguities when multiple samples test positive. They also recommended addressing error rates from failed tests.
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Strength of evidence
Reviewers: T Furstenau (Northern Arizona University) | 📒📒📒 ◻️◻️
K Butler (Sandia National Laboratories) | 📗📗📗📗◻️
K Butler (Ben-Gurion University of the Negev) | 📒📒📒 ◻️◻️ -
