Quantifying antibody kinetics and RNA detection during early-phase SARS-CoV-2 infection by time since symptom onset

Abstract

Understanding and mitigating SARS-CoV-2 transmission hinges on antibody and viral RNA data that inform exposure and shedding, but extensive variation in assays, study group demographics and laboratory protocols across published studies confounds inference of true biological patterns. Our meta-analysis leverages 3214 datapoints from 516 individuals in 21 studies to reveal that seroconversion of both IgG and IgM occurs around 12 days post-symptom onset (range 1–40), with extensive individual variation that is not significantly associated with disease severity. IgG and IgM detection probabilities increase from roughly 10% at symptom onset to 98–100% by day 22, after which IgM wanes while IgG remains reliably detectable. RNA detection probability decreases from roughly 90% to zero by day 30, and is highest in feces and lower respiratory tract samples. Our findings provide a coherent evidence base for interpreting clinical diagnostics, and for the mathematical models and serological surveys that underpin public health policies.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 07, 2020
Source ID
10.7554/elife.60122

Entities

People

  • Abby M McClain
  • Amandine Gamble
  • Benny Borremans
  • Caitlin Cox
  • James O. Lloyd-Smith
  • Katherine Prager
  • Sarah K. Helman
  • Van Savage

Organizations

  • Defense Advanced Research Projects Agency
  • Hasselt University
  • Marie Skłodowska-Curie Actions
  • National Marine Mammal Foundation
  • National Science Foundation
  • United States Department of Defense
  • University of Antwerp
  • University of California

Tags

Fields of Study

  • Biology

Readers

  • Infectious Disease/Epidemiology
  • Mathematics or Statistics
  • Systems Analysis and Design

Technology Areas

  • AI & ML