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Estimating severe acute respiratory coronavirus virus 2 (SARS-CoV-2) seroprevalence from residual clinical blood samples, January–March 2021
We describe severe acute respiratory coronavirus virus 2 (SARS-CoV-2) IgG seroprevalence and antigenemia among patients at a medical center in January–March 2021 using residual clinical blood samples. The overall seroprevalences were 17% by infection and 16% by vaccination. Spent or residual samples...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726492/ https://www.ncbi.nlm.nih.gov/pubmed/36483398 http://dx.doi.org/10.1017/ash.2022.298 |
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author | Graciaa, Daniel S. Verkerke, Hans P. Guarner, Jeannette Moldoveanu, Ana Maria Cheedarla, Narayanaiah Arthur, Connie M. Maier, Cheryl L. Neish, Andrew Auld, Sara C. Campbell, Angie Gandhi, Neel R. Roback, John D. Shah, N. Sarita |
author_facet | Graciaa, Daniel S. Verkerke, Hans P. Guarner, Jeannette Moldoveanu, Ana Maria Cheedarla, Narayanaiah Arthur, Connie M. Maier, Cheryl L. Neish, Andrew Auld, Sara C. Campbell, Angie Gandhi, Neel R. Roback, John D. Shah, N. Sarita |
author_sort | Graciaa, Daniel S. |
collection | PubMed |
description | We describe severe acute respiratory coronavirus virus 2 (SARS-CoV-2) IgG seroprevalence and antigenemia among patients at a medical center in January–March 2021 using residual clinical blood samples. The overall seroprevalences were 17% by infection and 16% by vaccination. Spent or residual samples are a feasible alternative for rapidly estimating seroprevalence or monitoring trends in infection and vaccination. |
format | Online Article Text |
id | pubmed-9726492 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-97264922022-12-07 Estimating severe acute respiratory coronavirus virus 2 (SARS-CoV-2) seroprevalence from residual clinical blood samples, January–March 2021 Graciaa, Daniel S. Verkerke, Hans P. Guarner, Jeannette Moldoveanu, Ana Maria Cheedarla, Narayanaiah Arthur, Connie M. Maier, Cheryl L. Neish, Andrew Auld, Sara C. Campbell, Angie Gandhi, Neel R. Roback, John D. Shah, N. Sarita Antimicrob Steward Healthc Epidemiol Concise Communication We describe severe acute respiratory coronavirus virus 2 (SARS-CoV-2) IgG seroprevalence and antigenemia among patients at a medical center in January–March 2021 using residual clinical blood samples. The overall seroprevalences were 17% by infection and 16% by vaccination. Spent or residual samples are a feasible alternative for rapidly estimating seroprevalence or monitoring trends in infection and vaccination. Cambridge University Press 2022-09-22 /pmc/articles/PMC9726492/ /pubmed/36483398 http://dx.doi.org/10.1017/ash.2022.298 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc-sa/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (http://creativecommons.org/licenses/by-nc-sa/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is used to distribute the re-used or adapted article and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use. |
spellingShingle | Concise Communication Graciaa, Daniel S. Verkerke, Hans P. Guarner, Jeannette Moldoveanu, Ana Maria Cheedarla, Narayanaiah Arthur, Connie M. Maier, Cheryl L. Neish, Andrew Auld, Sara C. Campbell, Angie Gandhi, Neel R. Roback, John D. Shah, N. Sarita Estimating severe acute respiratory coronavirus virus 2 (SARS-CoV-2) seroprevalence from residual clinical blood samples, January–March 2021 |
title | Estimating severe acute respiratory coronavirus virus 2 (SARS-CoV-2) seroprevalence from residual clinical blood samples, January–March 2021 |
title_full | Estimating severe acute respiratory coronavirus virus 2 (SARS-CoV-2) seroprevalence from residual clinical blood samples, January–March 2021 |
title_fullStr | Estimating severe acute respiratory coronavirus virus 2 (SARS-CoV-2) seroprevalence from residual clinical blood samples, January–March 2021 |
title_full_unstemmed | Estimating severe acute respiratory coronavirus virus 2 (SARS-CoV-2) seroprevalence from residual clinical blood samples, January–March 2021 |
title_short | Estimating severe acute respiratory coronavirus virus 2 (SARS-CoV-2) seroprevalence from residual clinical blood samples, January–March 2021 |
title_sort | estimating severe acute respiratory coronavirus virus 2 (sars-cov-2) seroprevalence from residual clinical blood samples, january–march 2021 |
topic | Concise Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9726492/ https://www.ncbi.nlm.nih.gov/pubmed/36483398 http://dx.doi.org/10.1017/ash.2022.298 |
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