Document Type
Article
Journal Title
Elife
Publication Date
2022
Volume
11
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
CONCLUSIONS: SARS-CoV-2 viral kinetics are partly determined by immunity and variant but dominated by individual-level variation. Since booster vaccination protects against infection, longer clearance times for BA.1-infected, boosted individuals may reflect a less effective immune response, more common in older individuals, that increases infection risk and reduces viral RNA clearance rate. The shifting landscape of viral kinetics underscores the need for continued monitoring to optimize isolation policies and to contextualize the health impacts of therapeutics and vaccines.
FUNDING: Supported in part by CDC contract #200-2016-91779, a sponsored research agreement to Yale University from the National Basketball Association contract #21-003529, and the National Basketball Players Association.
MeSH Headings
Humans, Aged, SARS-CoV-2, RNA, Viral, Retrospective Studies, COVID-19, Dermatitis, Antibodies, Viral
DOI Link
ISSN
2050-084X
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Hay, James A.; Kissler, Stephen M.; Fauver, Joseph R.; Mack, Christina; Tai, Caroline G.; Samant, Radhika M.; Connolly, Sarah; Anderson, Deverick J.; Khullar, Gaurav; MacKay, Matthew; Patel, Miral; Kelly, Shannan; Manhertz, April; Eiter, Isaac; Salgado, Daisy; Baker, Tim; Howard, Ben; Dudley, Joel T.; Mason, Christopher E.; Nair, Manoj; Huang, Yaoxing; DiFiori, John; Ho, David D.; Grubaugh, Nathan D.; and Grad, Yonatan H., "Quantifying the Impact of Immune History and Variant on SARS-CoV-2 Viral Kinetics and Infection Rebound: A Retrospective Cohort Study" (2022). Journal Articles: Epidemiology. 176.
https://digitalcommons.unmc.edu/coph_epidem_articles/176