Literature DB >> 33620317

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

Ashish Goyal1, Daniel B Reeves1, E Fabian Cardozo-Ojeda1, Joshua T Schiffer1,2,3, Bryan T Mayer1.   

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.
© 2021, Goyal et al.

Entities:  

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

Mesh:

Substances:

Year:  2021        PMID: 33620317      PMCID: PMC7929560          DOI: 10.7554/eLife.63537

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.713


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9.  Estimating the generation interval for coronavirus disease (COVID-19) based on symptom onset data, March 2020.

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