Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
Daily longitudinal sampling of SARS-CoV-2 infection reveals substantial heterogeneity in infectiousness
Nature Microbiology, Volume 7, No. 5, Year 2022
Notification
URL copied to clipboard!
Description
The dynamics of SARS-CoV-2 replication and shedding in humans remain poorly understood. We captured the dynamics of infectious virus and viral RNA shedding during acute infection through daily longitudinal sampling of 60 individuals for up to 14 days. By fitting mechanistic models, we directly estimated viral expansion and clearance rates and overall infectiousness for each individual. Significant person-to-person variation in infectious virus shedding suggests that individual-level heterogeneity in viral dynamics contributes to ‘superspreading’. Viral genome loads often peaked days earlier in saliva than in nasal swabs, indicating strong tissue compartmentalization and suggesting that saliva may serve as a superior sampling site for early detection of infection. Viral loads and clearance kinetics of Alpha (B.1.1.7) and previously circulating non-variant-of-concern viruses were mostly indistinguishable, indicating that the enhanced transmissibility of this variant cannot be explained simply by higher viral loads or delayed clearance. These results provide a high-resolution portrait of SARS-CoV-2 infection dynamics and implicate individual-level heterogeneity in infectiousness in superspreading. © 2022, The Author(s), under exclusive licence to Springer Nature Limited.
Authors & Co-Authors
Ke, Ruian
United States, Los Alamos
Los Alamos National Laboratory
Smith, Rebecca Lee
United States, Urbana
University of Illinois Urbana-champaign
Gibson, Laura L.
United States, Worcester
University of Massachusetts Chan Medical School
Gallagher, Nicholas D.
United States, Baltimore
Johns Hopkins School of Medicine
Luo, Chunhuai
United States, Baltimore
Johns Hopkins School of Medicine
Conte, Abigail R.
United States, Baltimore
Johns Hopkins Bloomberg School of Public Health
Walden, Kimberly K.O.
United States, Urbana
University of Illinois Urbana-champaign
Rendon, Gloria
United States, Urbana
University of Illinois Urbana-champaign
Fields, Christopher J.
United States, Urbana
University of Illinois Urbana-champaign
Wang, Leyi
United States, Urbana
University of Illinois Urbana-champaign
Chiu, Karen K.
United States, Urbana
University of Illinois Urbana-champaign
Barton, Bruce A.
United States, Worcester
University of Massachusetts Chan Medical School
Robinson, Matthew L.
United States, Baltimore
Johns Hopkins School of Medicine
Mostafa, Heba H.
United States, Baltimore
Johns Hopkins School of Medicine
Manabe, Yukari C.
United States, Baltimore
Johns Hopkins School of Medicine
United States, Baltimore
Johns Hopkins Bloomberg School of Public Health
Pekosz, Andrew S.
United States, Baltimore
Johns Hopkins Bloomberg School of Public Health
Statistics
Citations: 49
Authors: 16
Affiliations: 7
Identifiers
Doi:
10.1038/s41564-022-01105-z
ISSN:
20585276
Research Areas
Genetics And Genomics
Study Design
Cohort Study