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

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A cost-effective plan for global testing - an infection rate stratified, algorithm guided, multiple-level,

Tianshu Gu¹, Lan Yao², Xia Meng³

¹College of Graduate Health Sciences, University of Tennessee Health Science Center, Memphis, TN 38103, USA; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100050, PR China.

The Science of the Total Environment

|January 2, 2021

Summary

This summary is machine-generated.

Comprehensive national and global infectious disease screening is crucial. This study proposes a risk-based, algorithmic, pooled testing strategy for efficient and accurate population-wide testing, overcoming limitations of current methods.

Keywords:

COVID-19 Coronavirus Infection Population Screening Test

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Area of Science:

Epidemiology
Public Health
Biostatistics

Background:

Effective infectious disease control relies on early identification and isolation of infected individuals.
Current COVID-19 screening is often localized and uncoordinated, limiting its effectiveness.
There is a need for unified, large-scale screening strategies to manage pandemics.

Purpose of the Study:

To present a comprehensive plan for coordinating state, national, or global infectious disease testing.
To introduce a risk-based, algorithmic, multiple-level, pooled testing strategy.
To provide a framework for overcoming limitations in current screening methods, including PCR test inaccuracies and sample handling issues.

Main Methods:

Development of an analytic procedure using mathematical logistic models.
Designing a three-part plan: organization/resource allocation, risk-level-based screening, and algorithm-guided continuous population screening.
Incorporating a multiple-level, pooled testing approach to enhance efficiency and accuracy.

Main Results:

The proposed strategy enables weekly screening of 300 million individuals in the US using 6 to 15 million test kits.
The strategy addresses false positives, false negatives, and missed samples inherent in standard testing.
Demonstrates feasibility for large-scale, regular population screening.

Conclusions:

The proposed pooled testing strategy offers an efficient and accurate method for population-wide infectious disease screening.
This approach can be vital for managing current pandemics like COVID-19 and future infectious disease outbreaks.
Unified, coordinated national and global testing actions are essential for effective pandemic response.