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Dynamics of SARS-CoV-2 Seroprevalence in a Large US population Over a Period of 12 Months
Due to a combination of asymptomatic or undiagnosed infections, the proportion of the United States population infected with SARS-CoV-2 was unclear from the beginning of the pandemic. We previously established a platform to screen for SARS-CoV-2 positivity across a representative proportion of the U...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614993/ https://www.ncbi.nlm.nih.gov/pubmed/37904956 http://dx.doi.org/10.1101/2023.10.20.23297329 |
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author | Karkanitsa, Maria Li, Yan Valenti, Shannon Spathies, Jacquelyn Kelly, Sophie Hunsberger, Sally Yee, Laura Croker, Jennifer A. Wang, Jing Alfonso, Andrea Lucia Faust, Mondreakest Mehalko, Jennifer Drew, Matthew Denson, John-Paul Putman, Zoe Fathi, Parinaz Ngo, Tran B. Siripong, Nalyn Baus, Holly Ann Petersen, Brian Ford, Eric W. Sundaresan, Vanathi Josyula, Aditya Han, Alison Giurgea, Luca T. Rosas, Luz Angela Bean, Rachel Athota, Rani Czajkowski, Lindsay Klumpp-Thomas, Carleen Cervantes-Medina, Adriana Gouzoulis, Monica Reed, Susan Graubard, Barry Hall, Matthew D. Kalish, Heather Esposito, Dominic Kimberly, Robert P. Reis, Steven Sadtler, Kaitlyn Memoli, Matthew J |
author_facet | Karkanitsa, Maria Li, Yan Valenti, Shannon Spathies, Jacquelyn Kelly, Sophie Hunsberger, Sally Yee, Laura Croker, Jennifer A. Wang, Jing Alfonso, Andrea Lucia Faust, Mondreakest Mehalko, Jennifer Drew, Matthew Denson, John-Paul Putman, Zoe Fathi, Parinaz Ngo, Tran B. Siripong, Nalyn Baus, Holly Ann Petersen, Brian Ford, Eric W. Sundaresan, Vanathi Josyula, Aditya Han, Alison Giurgea, Luca T. Rosas, Luz Angela Bean, Rachel Athota, Rani Czajkowski, Lindsay Klumpp-Thomas, Carleen Cervantes-Medina, Adriana Gouzoulis, Monica Reed, Susan Graubard, Barry Hall, Matthew D. Kalish, Heather Esposito, Dominic Kimberly, Robert P. Reis, Steven Sadtler, Kaitlyn Memoli, Matthew J |
author_sort | Karkanitsa, Maria |
collection | PubMed |
description | Due to a combination of asymptomatic or undiagnosed infections, the proportion of the United States population infected with SARS-CoV-2 was unclear from the beginning of the pandemic. We previously established a platform to screen for SARS-CoV-2 positivity across a representative proportion of the US population, from which we reported that almost 17 million Americans were estimated to have had undocumented infections in the Spring of 2020. Since then, vaccine rollout and prevalence of different SARS-CoV-2 variants have further altered seropositivity trends within the United States population. To explore the longitudinal impacts of the pandemic and vaccine responses on seropositivity, we re-enrolled participants from our baseline study in a 6- and 12- month follow-up study to develop a longitudinal antibody profile capable of representing seropositivity within the United States during a critical period just prior to and during the initiation of vaccine rollout. Initial measurements showed that, since July 2020, seropositivity elevated within this population from 4.8% at baseline to 36.2% and 89.3% at 6 and 12 months, respectively. We also evaluated nucleocapsid seropositivity and compared to spike seropositivity to identify trends in infection versus vaccination relative to baseline. These data serve as a window into a critical timeframe within the COVID-19 pandemic response and serve as a resource that could be used in subsequent respiratory illness outbreaks. |
format | Online Article Text |
id | pubmed-10614993 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-106149932023-10-31 Dynamics of SARS-CoV-2 Seroprevalence in a Large US population Over a Period of 12 Months Karkanitsa, Maria Li, Yan Valenti, Shannon Spathies, Jacquelyn Kelly, Sophie Hunsberger, Sally Yee, Laura Croker, Jennifer A. Wang, Jing Alfonso, Andrea Lucia Faust, Mondreakest Mehalko, Jennifer Drew, Matthew Denson, John-Paul Putman, Zoe Fathi, Parinaz Ngo, Tran B. Siripong, Nalyn Baus, Holly Ann Petersen, Brian Ford, Eric W. Sundaresan, Vanathi Josyula, Aditya Han, Alison Giurgea, Luca T. Rosas, Luz Angela Bean, Rachel Athota, Rani Czajkowski, Lindsay Klumpp-Thomas, Carleen Cervantes-Medina, Adriana Gouzoulis, Monica Reed, Susan Graubard, Barry Hall, Matthew D. Kalish, Heather Esposito, Dominic Kimberly, Robert P. Reis, Steven Sadtler, Kaitlyn Memoli, Matthew J medRxiv Article Due to a combination of asymptomatic or undiagnosed infections, the proportion of the United States population infected with SARS-CoV-2 was unclear from the beginning of the pandemic. We previously established a platform to screen for SARS-CoV-2 positivity across a representative proportion of the US population, from which we reported that almost 17 million Americans were estimated to have had undocumented infections in the Spring of 2020. Since then, vaccine rollout and prevalence of different SARS-CoV-2 variants have further altered seropositivity trends within the United States population. To explore the longitudinal impacts of the pandemic and vaccine responses on seropositivity, we re-enrolled participants from our baseline study in a 6- and 12- month follow-up study to develop a longitudinal antibody profile capable of representing seropositivity within the United States during a critical period just prior to and during the initiation of vaccine rollout. Initial measurements showed that, since July 2020, seropositivity elevated within this population from 4.8% at baseline to 36.2% and 89.3% at 6 and 12 months, respectively. We also evaluated nucleocapsid seropositivity and compared to spike seropositivity to identify trends in infection versus vaccination relative to baseline. These data serve as a window into a critical timeframe within the COVID-19 pandemic response and serve as a resource that could be used in subsequent respiratory illness outbreaks. Cold Spring Harbor Laboratory 2023-10-21 /pmc/articles/PMC10614993/ /pubmed/37904956 http://dx.doi.org/10.1101/2023.10.20.23297329 Text en https://creativecommons.org/publicdomain/zero/1.0/This article is a US Government work. It is not subject to copyright under 17 USC 105 and is also made available for use under a CC0 license (https://creativecommons.org/publicdomain/zero/1.0/) . |
spellingShingle | Article Karkanitsa, Maria Li, Yan Valenti, Shannon Spathies, Jacquelyn Kelly, Sophie Hunsberger, Sally Yee, Laura Croker, Jennifer A. Wang, Jing Alfonso, Andrea Lucia Faust, Mondreakest Mehalko, Jennifer Drew, Matthew Denson, John-Paul Putman, Zoe Fathi, Parinaz Ngo, Tran B. Siripong, Nalyn Baus, Holly Ann Petersen, Brian Ford, Eric W. Sundaresan, Vanathi Josyula, Aditya Han, Alison Giurgea, Luca T. Rosas, Luz Angela Bean, Rachel Athota, Rani Czajkowski, Lindsay Klumpp-Thomas, Carleen Cervantes-Medina, Adriana Gouzoulis, Monica Reed, Susan Graubard, Barry Hall, Matthew D. Kalish, Heather Esposito, Dominic Kimberly, Robert P. Reis, Steven Sadtler, Kaitlyn Memoli, Matthew J Dynamics of SARS-CoV-2 Seroprevalence in a Large US population Over a Period of 12 Months |
title | Dynamics of SARS-CoV-2 Seroprevalence in a Large US population Over a Period of 12 Months |
title_full | Dynamics of SARS-CoV-2 Seroprevalence in a Large US population Over a Period of 12 Months |
title_fullStr | Dynamics of SARS-CoV-2 Seroprevalence in a Large US population Over a Period of 12 Months |
title_full_unstemmed | Dynamics of SARS-CoV-2 Seroprevalence in a Large US population Over a Period of 12 Months |
title_short | Dynamics of SARS-CoV-2 Seroprevalence in a Large US population Over a Period of 12 Months |
title_sort | dynamics of sars-cov-2 seroprevalence in a large us population over a period of 12 months |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10614993/ https://www.ncbi.nlm.nih.gov/pubmed/37904956 http://dx.doi.org/10.1101/2023.10.20.23297329 |
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