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Population-Based Estimates of SARS-CoV-2 Seroprevalence in Houston, TX as of September 2020
BACKGROUND: In contrast to studies that relied on volunteers or convenience sampling, there are few population-based SARS-CoV-2 seroprevalence investigations and most were conducted early in the pandemic. The health department of the fourth largest city in the U.S. recognized that sound estimates of...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8135754/ https://www.ncbi.nlm.nih.gov/pubmed/33914068 http://dx.doi.org/10.1093/infdis/jiab203 |
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author | Symanski, Elaine Ensor, Katherine B Piedra, Pedro A Sheth, Komal Caton, Kelsey Williams, Stephen L Persse, David Banerjee, Deborah Hopkins, Loren |
author_facet | Symanski, Elaine Ensor, Katherine B Piedra, Pedro A Sheth, Komal Caton, Kelsey Williams, Stephen L Persse, David Banerjee, Deborah Hopkins, Loren |
author_sort | Symanski, Elaine |
collection | PubMed |
description | BACKGROUND: In contrast to studies that relied on volunteers or convenience sampling, there are few population-based SARS-CoV-2 seroprevalence investigations and most were conducted early in the pandemic. The health department of the fourth largest city in the U.S. recognized that sound estimates of viral impact were needed to inform decision-making. METHODS: Adapting standardized disaster research methodology in September 2020, the city was divided into high and low strata based on RT-PCR positivity rates, and census block groups within each stratum were randomly selected with probability proportional to size, followed by random selection of households within each group. Using two immunoassays, the proportion of infected individuals was estimated for the city, as well as by positivity rate and by sociodemographic and other characteristics. The degree of under ascertainment of seroprevalence was estimated based on RT-PCR positive cases. RESULTS: Seroprevalence was estimated to be 14% with a near two-fold difference in areas with high (18%) versus low (10%) RT-PCR positivity rates and was four times higher compared to case-based surveillance data. CONCLUSIONS: Seroprevalence was higher than previously reported and is greater than that estimated from RT-PCR data. Results will be used to inform public health decisions about testing, outreach, and vaccine rollout. |
format | Online Article Text |
id | pubmed-8135754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-81357542021-05-21 Population-Based Estimates of SARS-CoV-2 Seroprevalence in Houston, TX as of September 2020 Symanski, Elaine Ensor, Katherine B Piedra, Pedro A Sheth, Komal Caton, Kelsey Williams, Stephen L Persse, David Banerjee, Deborah Hopkins, Loren J Infect Dis Major Article BACKGROUND: In contrast to studies that relied on volunteers or convenience sampling, there are few population-based SARS-CoV-2 seroprevalence investigations and most were conducted early in the pandemic. The health department of the fourth largest city in the U.S. recognized that sound estimates of viral impact were needed to inform decision-making. METHODS: Adapting standardized disaster research methodology in September 2020, the city was divided into high and low strata based on RT-PCR positivity rates, and census block groups within each stratum were randomly selected with probability proportional to size, followed by random selection of households within each group. Using two immunoassays, the proportion of infected individuals was estimated for the city, as well as by positivity rate and by sociodemographic and other characteristics. The degree of under ascertainment of seroprevalence was estimated based on RT-PCR positive cases. RESULTS: Seroprevalence was estimated to be 14% with a near two-fold difference in areas with high (18%) versus low (10%) RT-PCR positivity rates and was four times higher compared to case-based surveillance data. CONCLUSIONS: Seroprevalence was higher than previously reported and is greater than that estimated from RT-PCR data. Results will be used to inform public health decisions about testing, outreach, and vaccine rollout. Oxford University Press 2021-04-29 /pmc/articles/PMC8135754/ /pubmed/33914068 http://dx.doi.org/10.1093/infdis/jiab203 Text en © The Author(s) 2021. Published by Oxford University Press for the Infectious Diseases Society of America. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) ), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Major Article Symanski, Elaine Ensor, Katherine B Piedra, Pedro A Sheth, Komal Caton, Kelsey Williams, Stephen L Persse, David Banerjee, Deborah Hopkins, Loren Population-Based Estimates of SARS-CoV-2 Seroprevalence in Houston, TX as of September 2020 |
title | Population-Based Estimates of SARS-CoV-2 Seroprevalence in Houston, TX as of September 2020 |
title_full | Population-Based Estimates of SARS-CoV-2 Seroprevalence in Houston, TX as of September 2020 |
title_fullStr | Population-Based Estimates of SARS-CoV-2 Seroprevalence in Houston, TX as of September 2020 |
title_full_unstemmed | Population-Based Estimates of SARS-CoV-2 Seroprevalence in Houston, TX as of September 2020 |
title_short | Population-Based Estimates of SARS-CoV-2 Seroprevalence in Houston, TX as of September 2020 |
title_sort | population-based estimates of sars-cov-2 seroprevalence in houston, tx as of september 2020 |
topic | Major Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8135754/ https://www.ncbi.nlm.nih.gov/pubmed/33914068 http://dx.doi.org/10.1093/infdis/jiab203 |
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