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Risk factors and titers of COVID-19 infection in a longitudinal statewide seroepidemiology cohort

BACKGROUND: Virginia is a large state in the USA, yet it remains unclear what percentage of the population has had natural COVID-19 infection and whether risk factors for infection have changed over time. METHODS: Using a longitudinal cohort, from December 2021-July 2022 we performed follow up serol...

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Autores principales: Rogawski McQuade, Elizabeth T., Becker, Lea, Stroup, Suzanne E., Khan, Fauzia, Shah, Bhruga, Brush, John, Goldsmith, Gay, Mullin, Rebecca, Guilliams, Danielle, deFilippi, Christopher, Barackman, Kathleen, Mohr, Andrea B., Farrell, Francis, Bearman, Gonzalo, Peake, Lilian, Houpt, Eric R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565985/
https://www.ncbi.nlm.nih.gov/pubmed/37821853
http://dx.doi.org/10.1186/s12879-023-08670-6
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author Rogawski McQuade, Elizabeth T.
Becker, Lea
Stroup, Suzanne E.
Khan, Fauzia
Shah, Bhruga
Brush, John
Goldsmith, Gay
Mullin, Rebecca
Guilliams, Danielle
deFilippi, Christopher
Barackman, Kathleen
Mohr, Andrea B.
Farrell, Francis
Bearman, Gonzalo
Peake, Lilian
Houpt, Eric R.
author_facet Rogawski McQuade, Elizabeth T.
Becker, Lea
Stroup, Suzanne E.
Khan, Fauzia
Shah, Bhruga
Brush, John
Goldsmith, Gay
Mullin, Rebecca
Guilliams, Danielle
deFilippi, Christopher
Barackman, Kathleen
Mohr, Andrea B.
Farrell, Francis
Bearman, Gonzalo
Peake, Lilian
Houpt, Eric R.
author_sort Rogawski McQuade, Elizabeth T.
collection PubMed
description BACKGROUND: Virginia is a large state in the USA, yet it remains unclear what percentage of the population has had natural COVID-19 infection and whether risk factors for infection have changed over time. METHODS: Using a longitudinal cohort, from December 2021-July 2022 we performed follow up serology and a questionnaire on 784 individuals from across Virginia who had previously participated in a statewide COVID-19 seroepidemiology study in 2020. Children were also invited to participate and an additional 62 children also completed the study. Serology was performed using Roche nucleocapsid and spike serological assays. RESULTS: The majority of participants were white (78.6%), over 50 years old (60.9%), and reported having received COVID-19 vaccine (93.4%). 28.6% had evidence of prior COVID-19 infection (nucleocapsid positive). Reweighted by region, age, and sex to match the Virginia census data, the seroprevalence of nucleocapsid antibodies was estimated to be 30.6% (95% CI: 24.7, 36.6). We estimated that 25–53% of COVID-19 infections were asymptomatic. Infection rates were lower in individuals > 60 years old and were higher in Blacks and Hispanics. Infection rates were also higher in those without health insurance, in those with greater numbers of household children, and in those that reported a close contact or having undergone quarantine for COVID-19. Participants from Southwest Virginia had lower seropositivity (16.2%, 95% CI 6.5, 26.0) than other geographic regions. Boosted vaccinees had lower infection rates than non-boosted vaccinees. Frequenting indoor bars was a risk factor for infection, while frequently wearing an N95 mask was protective, though the estimates of association were imprecise. Infection rates were higher in children than adults (56.5% vs. 28.6%). Infection in the parent was a risk factor for child infection. Spike antibody levels declined with time since last vaccination, particularly in those that were vaccinated but not previously infected. Neutralizing antibody positivity was high (97–99%) for wild type, alpha, beta, gamma, delta, and omicron variants. Neutralizing antibody levels were higher in the follow-up survey compared to the first survey in 2020 and among individuals with evidence of natural infection compared to those without. CONCLUSIONS: In this longitudinal statewide cohort we observed a lower-than-expected COVID-19 infection rate as of August 2022. Boosted vaccinees had lower infection rates. Children had higher infection rates and infections tracked within households. Previously identified demographic risk factors for infection tended to persist. Even after the omicron peak, a large number of Virginians remain uninfected with COVID-19, underscoring the need for ongoing vaccination strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08670-6.
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spelling pubmed-105659852023-10-12 Risk factors and titers of COVID-19 infection in a longitudinal statewide seroepidemiology cohort Rogawski McQuade, Elizabeth T. Becker, Lea Stroup, Suzanne E. Khan, Fauzia Shah, Bhruga Brush, John Goldsmith, Gay Mullin, Rebecca Guilliams, Danielle deFilippi, Christopher Barackman, Kathleen Mohr, Andrea B. Farrell, Francis Bearman, Gonzalo Peake, Lilian Houpt, Eric R. BMC Infect Dis Research BACKGROUND: Virginia is a large state in the USA, yet it remains unclear what percentage of the population has had natural COVID-19 infection and whether risk factors for infection have changed over time. METHODS: Using a longitudinal cohort, from December 2021-July 2022 we performed follow up serology and a questionnaire on 784 individuals from across Virginia who had previously participated in a statewide COVID-19 seroepidemiology study in 2020. Children were also invited to participate and an additional 62 children also completed the study. Serology was performed using Roche nucleocapsid and spike serological assays. RESULTS: The majority of participants were white (78.6%), over 50 years old (60.9%), and reported having received COVID-19 vaccine (93.4%). 28.6% had evidence of prior COVID-19 infection (nucleocapsid positive). Reweighted by region, age, and sex to match the Virginia census data, the seroprevalence of nucleocapsid antibodies was estimated to be 30.6% (95% CI: 24.7, 36.6). We estimated that 25–53% of COVID-19 infections were asymptomatic. Infection rates were lower in individuals > 60 years old and were higher in Blacks and Hispanics. Infection rates were also higher in those without health insurance, in those with greater numbers of household children, and in those that reported a close contact or having undergone quarantine for COVID-19. Participants from Southwest Virginia had lower seropositivity (16.2%, 95% CI 6.5, 26.0) than other geographic regions. Boosted vaccinees had lower infection rates than non-boosted vaccinees. Frequenting indoor bars was a risk factor for infection, while frequently wearing an N95 mask was protective, though the estimates of association were imprecise. Infection rates were higher in children than adults (56.5% vs. 28.6%). Infection in the parent was a risk factor for child infection. Spike antibody levels declined with time since last vaccination, particularly in those that were vaccinated but not previously infected. Neutralizing antibody positivity was high (97–99%) for wild type, alpha, beta, gamma, delta, and omicron variants. Neutralizing antibody levels were higher in the follow-up survey compared to the first survey in 2020 and among individuals with evidence of natural infection compared to those without. CONCLUSIONS: In this longitudinal statewide cohort we observed a lower-than-expected COVID-19 infection rate as of August 2022. Boosted vaccinees had lower infection rates. Children had higher infection rates and infections tracked within households. Previously identified demographic risk factors for infection tended to persist. Even after the omicron peak, a large number of Virginians remain uninfected with COVID-19, underscoring the need for ongoing vaccination strategies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-023-08670-6. BioMed Central 2023-10-11 /pmc/articles/PMC10565985/ /pubmed/37821853 http://dx.doi.org/10.1186/s12879-023-08670-6 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Rogawski McQuade, Elizabeth T.
Becker, Lea
Stroup, Suzanne E.
Khan, Fauzia
Shah, Bhruga
Brush, John
Goldsmith, Gay
Mullin, Rebecca
Guilliams, Danielle
deFilippi, Christopher
Barackman, Kathleen
Mohr, Andrea B.
Farrell, Francis
Bearman, Gonzalo
Peake, Lilian
Houpt, Eric R.
Risk factors and titers of COVID-19 infection in a longitudinal statewide seroepidemiology cohort
title Risk factors and titers of COVID-19 infection in a longitudinal statewide seroepidemiology cohort
title_full Risk factors and titers of COVID-19 infection in a longitudinal statewide seroepidemiology cohort
title_fullStr Risk factors and titers of COVID-19 infection in a longitudinal statewide seroepidemiology cohort
title_full_unstemmed Risk factors and titers of COVID-19 infection in a longitudinal statewide seroepidemiology cohort
title_short Risk factors and titers of COVID-19 infection in a longitudinal statewide seroepidemiology cohort
title_sort risk factors and titers of covid-19 infection in a longitudinal statewide seroepidemiology cohort
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565985/
https://www.ncbi.nlm.nih.gov/pubmed/37821853
http://dx.doi.org/10.1186/s12879-023-08670-6
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