Viral load and contact heterogeneity predict SARS-CoV-2 transmission and super-spreading events

Elife. 2021 Feb 23:10:e63537. doi: 10.7554/eLife.63537.

Abstract

SARS-CoV-2 is difficult to contain because many transmissions occur during pre-symptomatic infection. Unlike influenza, most SARS-CoV-2-infected people do not transmit while a small percentage infect large numbers of people. We designed mathematical models which link observed viral loads with epidemiologic features of each virus, including distribution of transmissions attributed to each infected person and duration between symptom onset in the transmitter and secondarily infected person. We identify that people infected with SARS-CoV-2 or influenza can be highly contagious for less than 1 day, congruent with peak viral load. SARS-CoV-2 super-spreader events occur when an infected person is shedding at a very high viral load and has a high number of exposed contacts. The higher predisposition of SARS-CoV-2 toward super-spreading events cannot be attributed to additional weeks of shedding relative to influenza. Rather, a person infected with SARS-CoV-2 exposes more people within equivalent physical contact networks, likely due to aerosolization.

Keywords: SARS-CoV-2; epidemiology; global health; human; infectious disease; mathematical modeling; microbiology; viral dynamics.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Aerosols
  • Basic Reproduction Number
  • COVID-19 / epidemiology
  • COVID-19 / transmission*
  • Carrier State*
  • China / epidemiology
  • Computer Simulation
  • Contact Tracing
  • Humans
  • Influenza, Human / epidemiology
  • Influenza, Human / transmission
  • Models, Theoretical
  • Pandemics
  • Probability
  • SARS-CoV-2
  • Time Factors
  • Viral Load*
  • Virus Shedding*

Substances

  • Aerosols