Assessment of an Online Tool to Simulate the Effect of Pooled Testing for SARS-CoV-2 Detection in Asymptomatic and Symptomatic Populations

Christopher R Polage; Mark J Lee; Christopher Hubbard; Catherine Rehder; Diana Cardona; Thomas Denny; Michael B Datto

doi:10.1001/jamanetworkopen.2020.31517

Assessment of an Online Tool to Simulate the Effect of Pooled Testing for SARS-CoV-2 Detection in Asymptomatic and Symptomatic Populations

JAMA Netw Open. 2020 Dec 1;3(12):e2031517. doi: 10.1001/jamanetworkopen.2020.31517.

Authors

Christopher R Polage^{1

2}, Mark J Lee^{1

2}, Christopher Hubbard², Catherine Rehder^{1

2}, Diana Cardona^{1

2}, Thomas Denny³, Michael B Datto^{1

2}

Affiliations

¹ Duke Health System Clinical Laboratories, Durham, North Carolina.
² Department of Pathology, Duke University School of Medicine, Durham, North Carolina.
³ Department of Medicine, Duke Human Vaccine Institute, Duke University School of Medicine, Durham, North Carolina.

Abstract

This diagnostic study describes an online tool created with actual severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus copy number data to help policy makers understand how pooled testing compares with single-sample testing in different populations.

MeSH terms

Asymptomatic Infections / epidemiology*
COVID-19 / diagnosis*
COVID-19 / epidemiology
COVID-19 / virology
COVID-19 Testing* / standards
COVID-19 Testing* / statistics & numerical data
Computer Simulation*
Humans
Internet
Mass Screening
Pandemics
SARS-CoV-2* / genetics
SARS-CoV-2* / isolation & purification
Specimen Handling