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

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 epidem...

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Autores principales: Goyal, Ashish, Reeves, Daniel B, Cardozo-Ojeda, E Fabian, Schiffer, Joshua T, Mayer, Bryan T
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7929560/
https://www.ncbi.nlm.nih.gov/pubmed/33620317
http://dx.doi.org/10.7554/eLife.63537
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author Goyal, Ashish
Reeves, Daniel B
Cardozo-Ojeda, E Fabian
Schiffer, Joshua T
Mayer, Bryan T
author_facet Goyal, Ashish
Reeves, Daniel B
Cardozo-Ojeda, E Fabian
Schiffer, Joshua T
Mayer, Bryan T
author_sort Goyal, Ashish
collection PubMed
description 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.
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spelling pubmed-79295602021-03-04 Viral load and contact heterogeneity predict SARS-CoV-2 transmission and super-spreading events Goyal, Ashish Reeves, Daniel B Cardozo-Ojeda, E Fabian Schiffer, Joshua T Mayer, Bryan T eLife Epidemiology and Global Health 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. eLife Sciences Publications, Ltd 2021-02-23 /pmc/articles/PMC7929560/ /pubmed/33620317 http://dx.doi.org/10.7554/eLife.63537 Text en © 2021, Goyal et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Epidemiology and Global Health
Goyal, Ashish
Reeves, Daniel B
Cardozo-Ojeda, E Fabian
Schiffer, Joshua T
Mayer, Bryan T
Viral load and contact heterogeneity predict SARS-CoV-2 transmission and super-spreading events
title Viral load and contact heterogeneity predict SARS-CoV-2 transmission and super-spreading events
title_full Viral load and contact heterogeneity predict SARS-CoV-2 transmission and super-spreading events
title_fullStr Viral load and contact heterogeneity predict SARS-CoV-2 transmission and super-spreading events
title_full_unstemmed Viral load and contact heterogeneity predict SARS-CoV-2 transmission and super-spreading events
title_short Viral load and contact heterogeneity predict SARS-CoV-2 transmission and super-spreading events
title_sort viral load and contact heterogeneity predict sars-cov-2 transmission and super-spreading events
topic Epidemiology and Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7929560/
https://www.ncbi.nlm.nih.gov/pubmed/33620317
http://dx.doi.org/10.7554/eLife.63537
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