Evidence map›Paper›PMID 34282424›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Daily sampling of early SARS-CoV-2 infection reveals substantial heterogeneity in infectiousness.

Ruian Ke, Pamela P Martinez, Rebecca L Smith, Laura L Gibson, Agha Mirza, Madison Conte, Nicholas Gallagher, Chun Huai Luo, Junko Jarrett, Abigail Conte and 28 more

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 34 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

38 authors at 6 institutions in 1 country.

Pamela P Martinez
Rebecca L Smith
Laura L Gibson
Agha Mirza
Madison Conte
Nicholas Gallagher
Chun Huai Luo
Junko Jarrett
Abigail Conte
Tongyu Liu
Mireille Farjo
Kimberly K O Walden
Gloria Rendon
Christopher J Fields
Leyi Wang
Richard Fredrickson
Darci C Edmonson
Melinda E Baughman
Karen K Chiu
Hannah Choi
Kevin R Scardina
Shannon Bradley
Stacy L Gloss
Crystal Reinhart
Jagadeesh Yedetore
Jessica Quicksall
Alyssa N Owens
John Broach
Bruce Barton
Peter Lazar
William J Heetderks
Matthew L RobinsonORCID 0000-0003-0376-8560
Heba H Mostafa
Yukari C Manabe
David D McManus
Christopher B BrookeORCID 0000-0002-6815-1193
University of Illinois Urbana-Champaign · USJohns Hopkins University · USUniversity of Massachusetts Chan Medical School · USLos Alamos National Laboratory · USNational Institute of Biomedical Imaging and Bioengineering · USUMass Memorial Health Care · US

Funding

The Center for Advancing Point of Care in Heart, Lung, Blood and Sleep DiseasesU54HL143541 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI Nathaniel Scott Hafer · 2018 to 2026
$141.0M
NHLBI NIH HHS U54 HL143541
6 · The paper itself

Abstract

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 estimate viral reproduction 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 load often peaked days earlier in saliva than in nasal swabs, indicating strong compartmentalization and suggesting that saliva may serve as a superior sampling site for early detection of infection. Viral loads and clearance kinetics of B.1.1.7 and non-B.1.1.7 viruses in nasal swabs were indistinguishable, however B.1.1.7 exhibited a significantly slower pre-peak growth rate in saliva. These results provide a high-resolution portrait of SARS-CoV-2 infection dynamics and implicate individual-level heterogeneity in infectiousness in superspreading.

Identifiers

PMID34282424
PMCPMC8288157
OpenAlexW3179315067

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.