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Updated: Oct 2, 2025

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling

Published on: June 23, 2022

Identification-detection group testing protocols for COVID-19 at high prevalence.

Marco Chiani¹, Gianluigi Liva², Enrico Paolini³

¹DEI, University of Bologna, Bologna, Italy. marco.chiani@unibo.it.

Scientific Reports

|March 1, 2022

Summary

New group testing protocols efficiently identify positive samples, even at high prevalence. These methods save resources by testing pooled samples, classifying more individuals in the first round compared to traditional schemes.

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Area of Science:

Biostatistics
Biotechnology
Epidemiology

Background:

Group testing offers significant savings in reagents, time, and costs by analyzing pooled samples instead of individual ones.
Traditional group testing methods can be less efficient at high prevalence rates.

Purpose of the Study:

Introduce novel group testing protocols designed for high prevalence scenarios (5-10%).
Maximize the number of samples classified in the initial testing round.
Optimize resource utilization in diagnostic testing.

Main Methods:

Developed a class of group testing protocols with minimal dilution.
Protocols are designed to identify single positive samples within a pool in one round.
Detects multiple positives for potential second-round individual testing.

Main Results:

With 100 tests and a prevalence of [Formula: see text] (max dilution 6), 242 individuals were classified.
[Formula: see text] of individuals were identified in the first round.
Compared to Dorfman's scheme (229 individuals with 100 tests), the new protocols classify more individuals and require fewer second-round tests.

Conclusions:

The proposed group testing protocols are effective for high-prevalence conditions.
These methods enhance efficiency and reduce costs in diagnostic testing.
The protocols offer a superior alternative to existing schemes like Dorfman's for resource optimization.