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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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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. |
format | Online Article Text |
id | pubmed-7929560 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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