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Simulation of Pool Testing to Identify Patients With Coronavirus Disease 2019 Under Conditions of Limited Test Availability

Educational Objective
To understand how to use Pool Testing to identify Patients with COVID-19 under conditions of limited test availability
1 Credit CME

Specimens from patients with suspected coronavirus disease 2019 (COVID-19) undergo real-time reverse transcriptase–polymerase chain reaction (RT-PCR) testing for qualitative severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA detection. The high demand for SARS-CoV-2 RT-PCR tests during the COVID-19 pandemic has resulted in local shortages, prompting researchers to consider pool testing strategies.1

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Article Information

Accepted for Publication: May 26, 2020.

Published: June 23, 2020. doi:10.1001/jamanetworkopen.2020.13075

Open Access: This is an open access article distributed under the terms of the CC-BY-NC-ND License. © 2020 Cherif A et al. JAMA Network Open.

Corresponding Author: Alhaji Cherif, PhD, Research Division, Renal Research Institute, 315 E 62nd St, 4th Floor, New York, NY 10065 (alhaji.cherif@rriny.com).

Author Contributions: Dr Cherif had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.

Concept and design: Cherif, Grobe, Kotanko.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Cherif, Grobe, Kotanko.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: Cherif.

Administrative, technical, or material support: Grobe, Kotanko.

Supervision: Kotanko.

Conflict of Interest Disclosures: All authors are employees of the Renal Research Institute, a wholly owned subsidiary of Fresenius Medical Care North America. Dr Kotanko reported owning stock in Fresenius Medical Care.

References
1.
Yelin  I , Aharony  N , Shaer Tamar  E ,  et al.  Evaluation of COVID-19 RT-qPCR test in multi-sample pools.   Clin Infect Dis. Published online May 2, 2020;ciaa531. doi:10.1093/cid/ciaa531PubMedGoogle Scholar
2.
Dorfman  R .  The detection of defective numbers of large populations.   Ann Math Stat. 1943;14:436-440. doi:10.1214/aoms/1177731363Google ScholarCrossref
3.
Johnson  NL , Kotz  S , Wu  X .  Inspection Errors for Attributes in Quality Control. Chapman and Hall Ltd; 1991. doi:10.1007/978-1-4899-3196-2
4.
Wang  W , Xu  Y , Gao  R ,  et al.  Detection of SARS-CoV-2 in different types of clinical specimens.   JAMA. 2020;323(18):1843-1844. doi:10.1001/jama.2020.3786PubMedGoogle Scholar
5.
Zou  L , Ruan  F , Huang  M ,  et al.  SARS-CoV-2 viral load in upper respiratory specimens of infected patients.   N Engl J Med. 2020;382(12):1177-1179. doi:10.1056/NEJMc2001737PubMedGoogle ScholarCrossref
6.
Zenios  SA , Wein  LM .  Pooled testing for HIV prevalence estimation: exploiting the dilution effect.   Stat Med. 1998;17(13):1447-1467. doi:10.1002/(SICI)1097-0258(19980715)17:13<1447::AID-SIM862>3.0.CO;2-KPubMedGoogle ScholarCrossref
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