Effectiveness of a Sample Pooling Strategy to Detect SARS-CoV-2, Thimphu, Bhutan, January–February 2021

This retrospective study aimed to evaluate the effectiveness of a pooling strategy to detect SARS-CoV-2 by comparing cycle threshold (Ct) values of pooled samples and deconvoluted samples, and its cost savings. We evaluated 2,687 pools of 5 samples (n=13,435) and 5,444 pools of 10 samples (n=54,440). Of these, 51 and 40 pools were positive from the 5- and 10-sample pools, respectively. We analyzed the Ct values of positive samples obtained through pooled testing and compared them to the Ct values of their corresponding individual positive samples. We observed a decrease in the mean Ct value by 2.0 for the 5-sample pools and by 3.6 for the 10-sample pools when the pooled samples were deconvoluted and individually tested. The drop in the mean Ct value was more pronounced in samples with a low viral load. Where the known positive COVID-19 prevalence rate was 0.13%, the pooling strategy resulted in significant savings of 89.26% for pools of 10 samples and 78.10% for pools of 5 samples when compared to individual testing. Employing this pooling approach led to substantial savings in resources and time when conducting mass screening.

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Publication Details

Journal
Outbreak Surveillance Investigation & Response (OSIR) Journal
Published
2024-12-31
DOI
https://doi.org/10.59096/osir.v17i4.268747
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
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article

Effectiveness of a Sample Pooling Strategy to Detect SARS-CoV-2, Thimphu, Bhutan, January–February 2021

Kunzang Dorji, Vishal Chhetri, Tshering Dorji, Sonam Gyeltshen
Outbreak Surveillance Investigation & Response (OSIR) Journal
COVID-19 epidemiological studies
article

Effectiveness of a Sample Pooling Strategy to Detect SARS-CoV-2, Thimphu, Bhutan, January–February 2021

Kunzang Dorji, Vishal Chhetri, Tshering Dorji, Sonam Gyeltshen
article en

Abstract

This retrospective study aimed to evaluate the effectiveness of a pooling strategy to detect SARS-CoV-2 by comparing cycle threshold (Ct) values of pooled samples and deconvoluted samples, and its cost savings. We evaluated 2,687 pools of 5 samples (n=13,435) and 5,444 pools of 10 samples (n=54,440). Of these, 51 and 40 pools were positive from the 5- and 10-sample pools, respectively. We analyzed the Ct values of positive samples obtained through pooled testing and compared them to the Ct values of their corresponding individual positive samples. We observed a decrease in the mean Ct value by 2.0 for the 5-sample pools and by 3.6 for the 10-sample pools when the pooled samples were deconvoluted and individually tested. The drop in the mean Ct value was more pronounced in samples with a low viral load. Where the known positive COVID-19 prevalence rate was 0.13%, the pooling strategy resulted in significant savings of 89.26% for pools of 10 samples and 78.10% for pools of 5 samples when compared to individual testing. Employing this pooling approach led to substantial savings in resources and time when conducting mass screening.

Outbreak Surveillance Investigation & Response (OSIR) JournalVol. 17(4)
Royal Centre for Disease Control (BT)
Openalex Percentile: Top 74%
COVID-19 epidemiological studies
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Effectiveness of a Sample Pooling Strategy to Detect SARS-CoV-2, Thimphu, Bhutan, January–February 2021 — Kunzang Dorji, Vishal Chhetri, et al. · Outbreak Surveillance Investigation & Response (OSIR) Journal (2024) | TGRS Research Map | TGRS