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Real-world assessment of severe acute respiratory coronavirus virus 2 (SARS-CoV-2) nasopharyngeal swab testing in a region with a high burden of coronavirus disease 2019 (COVID-19)

Published online by Cambridge University Press:  07 April 2021

Rohit B. Sangal
Affiliation:
Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut
David R. Peaper
Affiliation:
Department of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut
Craig Rothenberg
Affiliation:
Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut
Hasan Fadlallah
Affiliation:
Department of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut
Motunrayo Mobolaji-Lawal
Affiliation:
Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut
Marie L. Landry
Affiliation:
Department of Laboratory Medicine, Yale University School of Medicine, New Haven, Connecticut Department of Medicine, Yale University School of Medicine, New Haven, Connecticut Clinical Virology Laboratory, Yale New Haven Hospital, New Haven, Connecticut
L. Scott Sussman
Affiliation:
Department of Medicine, Yale University School of Medicine, New Haven, Connecticut
Andrew Ulrich
Affiliation:
Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut
Arjun K. Venkatesh*
Affiliation:
Department of Emergency Medicine, Yale University School of Medicine, New Haven, Connecticut
*
Author for correspondence: Arjun Venkatesh, E-mail: [email protected]

Abstract

Concerns persist regarding possible false-negative results that may compromise COVID-19 containment. Although obtaining a true false-negative rate is infeasible, using real-life observations, the data suggest a possible false-negative rate of ˜2.3%. Use of a sensitive, amplified RNA platform should reassure healthcare systems.

Type
Concise Communication
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Society for Healthcare Epidemiology of America

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