Pooling Samples to Increase SARS-CoV-2 Testing.

Area of Science:

• Virology
• Epidemiology
• Biostatistics

Background:

• The global spread of SARS-CoV-2 necessitates scalable and efficient testing strategies.
• The gold-standard RT-qPCR test is costly and time-consuming for widespread individual screening.
• Sample pooling offers a method to test multiple individuals using fewer tests.

Purpose of the Study:

• To explain the concept of sample pooling for SARS-CoV-2 detection.
• To present and compare different methods for reconstructing individual results from pooled samples.
• To highlight the advantages of combinatorial pooling, specifically Tapestry Pooling.

Main Methods:

• Description of simple pooling strategies where samples form disjoint pools.
• Explanation of combinatorial pooling where samples are distributed across multiple pools.
• Introduction of Tapestry Pooling, a combinatorial method utilizing compressed sensing.

Main Results:

• Pooling reduces the number of tests required per individual, enhancing testing scalability.
• Combinatorial pooling methods, like Tapestry Pooling, offer potential for accurate individual result reconstruction.
• Clinical validation efforts are underway to assess the real-world performance of these pooling techniques.

Conclusions:

• Sample pooling is a viable strategy to increase SARS-CoV-2 testing capacity.
• Combinatorial pooling methods, particularly those leveraging compressed sensing, show promise for efficient and accurate large-scale diagnostics.
• Further clinical validation is crucial for the widespread adoption of advanced pooling techniques.