Performance of Three Tests for SARS-CoV-2 on a University Campus Estimated Jointly with Bayesian Latent Class Modeling-Reference-Cited by-同舟云学术

Performance of Three Tests for SARS-CoV-2 on a University Campus Estimated Jointly with Bayesian Latent Class Modeling

Published:2022-02-23 Issue:1 Volume:10 Page:
ISSN:2165-0497
Container-title:Microbiology Spectrum
language:en
Short-container-title:Microbiol Spectr

Author:

Perkins T. Alex¹^ORCID,Stephens Melissa²,Alvarez Barrios Wendy³,Cavany Sean¹,Rulli Liz³,Pfrender Michael E.¹

Affiliation:

1. Department of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA

2. Genomics and Bioinformatics Core Facility, University of Notre Dame, Notre Dame, Indiana, USA

3. Notre Dame Research, University of Notre Dame, Notre Dame, Indiana, USA

Abstract

Testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been vitally important during the COVID-19 pandemic. There are a variety of methods for testing for this virus, and it is important to understand their accuracy in choosing which one might be best suited for a given application.

Funder

University of Notre Dame

Notre Dame Research

Publisher

American Society for Microbiology

Subject

Infectious Diseases,Cell Biology,Microbiology (medical),Genetics,General Immunology and Microbiology,Ecology,Physiology

Link

https://journals.asm.org/doi/pdf/10.1128/spectrum.01220-21

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1. Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19

2. Comparison of Estimated Effectiveness of Case-Based and Population-Based Interventions on COVID-19 Containment in Taiwan