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Assessing the asymptomatic proportion of SARS-CoV-2 infection with age in China before mass vaccination
Some asymptomatic individuals carrying SARS-CoV-2 can transmit the virus and contribute to outbreaks of COVID-19. Here, we use detailed surveillance data gathered during COVID-19 resurgences in six cities of China at the beginning of 2021 to investigate the relationship between asymptomatic proporti...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554520/ http://dx.doi.org/10.1098/rsif.2022.0498 |
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author | Wang, Zengmiao Wu, Peiyi Wang, Jingyuan Lourenço, José Li, Bingying Rader, Benjamin Laine, Marko Miao, Hui Wang, Ligui Song, Hongbin Bharti, Nita Brownstein, John S. Bjornstad, Ottar N. Dye, Christopher Tian, Huaiyu |
author_facet | Wang, Zengmiao Wu, Peiyi Wang, Jingyuan Lourenço, José Li, Bingying Rader, Benjamin Laine, Marko Miao, Hui Wang, Ligui Song, Hongbin Bharti, Nita Brownstein, John S. Bjornstad, Ottar N. Dye, Christopher Tian, Huaiyu |
author_sort | Wang, Zengmiao |
collection | PubMed |
description | Some asymptomatic individuals carrying SARS-CoV-2 can transmit the virus and contribute to outbreaks of COVID-19. Here, we use detailed surveillance data gathered during COVID-19 resurgences in six cities of China at the beginning of 2021 to investigate the relationship between asymptomatic proportion and age. Epidemiological data obtained before mass vaccination provide valuable insights into the nature of pathogenicity of SARS-CoV-2. The data were collected by multiple rounds of city-wide PCR testing with contact tracing, where each patient was monitored for symptoms through the whole course of infection. The clinical endpoint (asymptomatic or symptomatic) for each patient was recorded (the pre-symptomatic patients were classified as symptomatic). We find that the proportion of infections that are asymptomatic declines with age (coefficient = −0.006, 95% CI: −0.008 to −0.003, p < 0.01), falling from 42% (95% CI: 6–78%) in age group 0–9 years to 11% (95% CI: 0–25%) in age group greater than 60 years. Using an age-stratified compartment model, we show that this age-dependent asymptomatic pattern, together with the distribution of cases by age, can explain most of the reported variation in asymptomatic proportions among cities. Our analysis suggests that SARS-CoV-2 surveillance strategies should take account of the variation in asymptomatic proportion with age. |
format | Online Article Text |
id | pubmed-9554520 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-95545202022-10-25 Assessing the asymptomatic proportion of SARS-CoV-2 infection with age in China before mass vaccination Wang, Zengmiao Wu, Peiyi Wang, Jingyuan Lourenço, José Li, Bingying Rader, Benjamin Laine, Marko Miao, Hui Wang, Ligui Song, Hongbin Bharti, Nita Brownstein, John S. Bjornstad, Ottar N. Dye, Christopher Tian, Huaiyu J R Soc Interface Life Sciences–Mathematics interface Some asymptomatic individuals carrying SARS-CoV-2 can transmit the virus and contribute to outbreaks of COVID-19. Here, we use detailed surveillance data gathered during COVID-19 resurgences in six cities of China at the beginning of 2021 to investigate the relationship between asymptomatic proportion and age. Epidemiological data obtained before mass vaccination provide valuable insights into the nature of pathogenicity of SARS-CoV-2. The data were collected by multiple rounds of city-wide PCR testing with contact tracing, where each patient was monitored for symptoms through the whole course of infection. The clinical endpoint (asymptomatic or symptomatic) for each patient was recorded (the pre-symptomatic patients were classified as symptomatic). We find that the proportion of infections that are asymptomatic declines with age (coefficient = −0.006, 95% CI: −0.008 to −0.003, p < 0.01), falling from 42% (95% CI: 6–78%) in age group 0–9 years to 11% (95% CI: 0–25%) in age group greater than 60 years. Using an age-stratified compartment model, we show that this age-dependent asymptomatic pattern, together with the distribution of cases by age, can explain most of the reported variation in asymptomatic proportions among cities. Our analysis suggests that SARS-CoV-2 surveillance strategies should take account of the variation in asymptomatic proportion with age. The Royal Society 2022-10-12 /pmc/articles/PMC9554520/ http://dx.doi.org/10.1098/rsif.2022.0498 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Life Sciences–Mathematics interface Wang, Zengmiao Wu, Peiyi Wang, Jingyuan Lourenço, José Li, Bingying Rader, Benjamin Laine, Marko Miao, Hui Wang, Ligui Song, Hongbin Bharti, Nita Brownstein, John S. Bjornstad, Ottar N. Dye, Christopher Tian, Huaiyu Assessing the asymptomatic proportion of SARS-CoV-2 infection with age in China before mass vaccination |
title | Assessing the asymptomatic proportion of SARS-CoV-2 infection with age in China before mass vaccination |
title_full | Assessing the asymptomatic proportion of SARS-CoV-2 infection with age in China before mass vaccination |
title_fullStr | Assessing the asymptomatic proportion of SARS-CoV-2 infection with age in China before mass vaccination |
title_full_unstemmed | Assessing the asymptomatic proportion of SARS-CoV-2 infection with age in China before mass vaccination |
title_short | Assessing the asymptomatic proportion of SARS-CoV-2 infection with age in China before mass vaccination |
title_sort | assessing the asymptomatic proportion of sars-cov-2 infection with age in china before mass vaccination |
topic | Life Sciences–Mathematics interface |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9554520/ http://dx.doi.org/10.1098/rsif.2022.0498 |
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