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

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The daily swab test collection problem.

Roberto Aringhieri¹, Sara Bigharaz², Alessandro Druetto¹

¹Dipartimento di Informatica, Università degli Studi di Torino, Corso Svizzera 185, 10149 Torino, Italy.

Annals of Operations Research

|November 2, 2022

Summary

Optimizing the daily swab test collection logistics ensures timely COVID-19 testing for individuals identified through Digital Contact Tracing (DCT). This research introduces a new optimization problem to improve healthcare logistics during viral outbreaks.

Keywords:

Covid-19 Digital contact tracing Hybrid algorithms OR in health services Team orienteering problem

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Published on: December 18, 2013

Area of Science:

Health Logistics
Operations Research
Epidemiology

Background:

Digital Contact Tracing (DCT) is effective against SARS-CoV-2 but strains local health logistics.
The increasing demand for daily COVID-19 tests, especially during outbreaks, presents significant logistical challenges.

Purpose of the Study:

Introduce the Daily Swab Test Collection (DSTC) problem to optimize home-based COVID-19 test collection.
Formulate DSTC as a variant of the Team Orienteering Problem (TOP) and review its healthcare management applications.
Develop efficient algorithms and realistic benchmarks for DSTC to ensure timely testing.

Main Methods:

Formulation of the Daily Swab Test Collection (DSTC) problem as a variant of the Team Orienteering Problem (TOP).
Creation of new, realistic benchmark instances for DSTC using data from Turin.
Development and application of two novel hybrid algorithms to solve DSTC instances.

Main Results:

The study demonstrates that optimizing health logistics can ensure timely COVID-19 testing for individuals identified by DCT.
The proposed algorithms effectively handle realistic DSTC instances.
Managerial insights highlight the feasibility and fairness of the optimized logistics approach.

Conclusions:

The DSTC problem and its optimization are crucial for supporting effective Digital Contact Tracing (DCT).
Efficient logistics planning is essential for timely diagnostic testing during public health crises.
The developed methods provide a framework for improving healthcare system responsiveness and fairness.