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Pooled Testing Strategies for SARS-CoV-2 diagnosis: A comprehensive review. | LitMetric

AI Article Synopsis

  • SARS-CoV-2 has caused the ongoing COVID-19 pandemic, highlighting the need for systematic testing to control its spread through isolation and contact tracing.
  • A major challenge in testing is the limited availability of diagnostic resources; pooled testing could help by combining samples to reduce costs and resource use.
  • This article reviews current pooled testing models and suggests practical guidelines for large-scale implementation to improve testing efficiency and help flatten the infection curve.

Article Abstract

SARS-CoV-2 has surged across the globe causing the ongoing COVID-19 pandemic. Systematic testing to facilitate index case isolation and contact tracing is needed for efficient containment of viral spread. The major bottleneck in leveraging testing capacity has been the lack of diagnostic resources. Pooled testing is a potential approach that could reduce cost and usage of test kits. This method involves pooling individual samples and testing them 'en bloc'. Only if the pool tests positive, retesting of individual samples is performed. Upon reviewing recent articles on this strategy employed in various SARS-CoV-2 testing scenarios, we found substantial diversity emphasizing the requirement of a common protocol. In this article, we review various theoretically simulated and clinically validated pooled testing models and propose practical guidelines on applying this strategy for large scale screening. If implemented properly, the proposed approach could contribute to proper utilization of testing resources and flattening of infection curve.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8127528PMC
http://dx.doi.org/10.1016/j.diagmicrobio.2021.115432DOI Listing

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