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Quantifying the impact of immune history and variant on SARS-CoV-2 viral kinetics and infection rebound: A retrospective cohort study

Authors :
James A Hay
Stephen M Kissler
Joseph R Fauver
Christina Mack
Caroline G Tai
Radhika M Samant
Sarah Connolly
Deverick J Anderson
Gaurav Khullar
Matthew MacKay
Miral Patel
Shannan Kelly
April Manhertz
Isaac Eiter
Daisy Salgado
Tim Baker
Ben Howard
Joel T Dudley
Christopher E Mason
Manoj Nair
Yaoxing Huang
John DiFiori
David D Ho
Nathan D Grubaugh
Yonatan H Grad
Source :
eLife, Vol 11 (2022)
Publication Year :
2022
Publisher :
eLife Sciences Publications Ltd, 2022.

Abstract

Background: The combined impact of immunity and SARS-CoV-2 variants on viral kinetics during infections has been unclear. Methods: We characterized 1,280 infections from the National Basketball Association occupational health cohort identified between June 2020 and January 2022 using serial RT-qPCR testing. Logistic regression and semi-mechanistic viral RNA kinetics models were used to quantify the effect of age, variant, symptom status, infection history, vaccination status and antibody titer to the founder SARS-CoV-2 strain on the duration of potential infectiousness and overall viral kinetics. The frequency of viral rebounds was quantified under multiple cycle threshold (Ct) value-based definitions. Results: Among individuals detected partway through their infection, 51.0% (95% credible interval [CrI]: 48.3–53.6%) remained potentially infectious (Ct

Details

Language :
English
ISSN :
2050084X
Volume :
11
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.f3b2fd867b064cf7aabc11afd98908fa
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.81849