Cargando…

Low Seroprevalence of SARS-CoV-2 in Rhode Island blood donors during may 2020 as determined using multiple serological assay formats

BACKGROUND: Epidemic projections and public health policies addressing Coronavirus disease (COVID)-19 have been implemented without data reporting on the seroconversion of the population since scalable antibody testing has only recently become available. METHODS: We measured the percentage of severe...

Descripción completa

Detalles Bibliográficos
Autores principales: Nesbitt, Daniel J., Jin, Daniel P., Hogan, Joseph W., Yang, Jenny, Chen, Haidee, Chan, Philip A., Simon, Melissa J., Vargas, Matthew, King, Ewa, Huard, Richard C., Bandy, Utpala, Hillyer, Christopher D., Luchsinger, Larry L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386143/
https://www.ncbi.nlm.nih.gov/pubmed/34433423
http://dx.doi.org/10.1186/s12879-021-06438-4
_version_ 1783742206908039168
author Nesbitt, Daniel J.
Jin, Daniel P.
Hogan, Joseph W.
Yang, Jenny
Chen, Haidee
Chan, Philip A.
Simon, Melissa J.
Vargas, Matthew
King, Ewa
Huard, Richard C.
Bandy, Utpala
Hillyer, Christopher D.
Luchsinger, Larry L.
author_facet Nesbitt, Daniel J.
Jin, Daniel P.
Hogan, Joseph W.
Yang, Jenny
Chen, Haidee
Chan, Philip A.
Simon, Melissa J.
Vargas, Matthew
King, Ewa
Huard, Richard C.
Bandy, Utpala
Hillyer, Christopher D.
Luchsinger, Larry L.
author_sort Nesbitt, Daniel J.
collection PubMed
description BACKGROUND: Epidemic projections and public health policies addressing Coronavirus disease (COVID)-19 have been implemented without data reporting on the seroconversion of the population since scalable antibody testing has only recently become available. METHODS: We measured the percentage of severe acute respiratory syndrome- Coronavirus-2 (SARS-CoV-2) seropositive individuals from 2008 blood donors drawn in the state of Rhode Island (RI). We utilized multiple antibody testing platforms, including lateral flow immunoassays (LFAs), enzyme-linked immunosorbent assays (ELISAs) and high throughput serological assays (HTSAs). To estimate seroprevalence, we utilized the Bayesian statistical method to adjust for sensitivity and specificity of the commercial tests used. RESULTS: We report than an estimated seropositive rate of RI blood donors of approximately 0.6% existed in April–May of 2020. Daily new case rates peaked in RI in late April 2020. We found HTSAs and LFAs were positively correlated with ELISA assays to detect antibodies specific to SARS-CoV-2 in blood donors. CONCLUSIONS: These data imply that seroconversion, and thus infection, is likely not widespread within this population. We conclude that IgG LFAs and HTSAs are suitable to conduct seroprevalence assays in random populations. More studies will be needed using validated serological tests to improve the precision and report the kinetic progression of seroprevalence estimates.
format Online
Article
Text
id pubmed-8386143
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-83861432021-08-25 Low Seroprevalence of SARS-CoV-2 in Rhode Island blood donors during may 2020 as determined using multiple serological assay formats Nesbitt, Daniel J. Jin, Daniel P. Hogan, Joseph W. Yang, Jenny Chen, Haidee Chan, Philip A. Simon, Melissa J. Vargas, Matthew King, Ewa Huard, Richard C. Bandy, Utpala Hillyer, Christopher D. Luchsinger, Larry L. BMC Infect Dis Research Article BACKGROUND: Epidemic projections and public health policies addressing Coronavirus disease (COVID)-19 have been implemented without data reporting on the seroconversion of the population since scalable antibody testing has only recently become available. METHODS: We measured the percentage of severe acute respiratory syndrome- Coronavirus-2 (SARS-CoV-2) seropositive individuals from 2008 blood donors drawn in the state of Rhode Island (RI). We utilized multiple antibody testing platforms, including lateral flow immunoassays (LFAs), enzyme-linked immunosorbent assays (ELISAs) and high throughput serological assays (HTSAs). To estimate seroprevalence, we utilized the Bayesian statistical method to adjust for sensitivity and specificity of the commercial tests used. RESULTS: We report than an estimated seropositive rate of RI blood donors of approximately 0.6% existed in April–May of 2020. Daily new case rates peaked in RI in late April 2020. We found HTSAs and LFAs were positively correlated with ELISA assays to detect antibodies specific to SARS-CoV-2 in blood donors. CONCLUSIONS: These data imply that seroconversion, and thus infection, is likely not widespread within this population. We conclude that IgG LFAs and HTSAs are suitable to conduct seroprevalence assays in random populations. More studies will be needed using validated serological tests to improve the precision and report the kinetic progression of seroprevalence estimates. BioMed Central 2021-08-25 /pmc/articles/PMC8386143/ /pubmed/34433423 http://dx.doi.org/10.1186/s12879-021-06438-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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 Article
Nesbitt, Daniel J.
Jin, Daniel P.
Hogan, Joseph W.
Yang, Jenny
Chen, Haidee
Chan, Philip A.
Simon, Melissa J.
Vargas, Matthew
King, Ewa
Huard, Richard C.
Bandy, Utpala
Hillyer, Christopher D.
Luchsinger, Larry L.
Low Seroprevalence of SARS-CoV-2 in Rhode Island blood donors during may 2020 as determined using multiple serological assay formats
title Low Seroprevalence of SARS-CoV-2 in Rhode Island blood donors during may 2020 as determined using multiple serological assay formats
title_full Low Seroprevalence of SARS-CoV-2 in Rhode Island blood donors during may 2020 as determined using multiple serological assay formats
title_fullStr Low Seroprevalence of SARS-CoV-2 in Rhode Island blood donors during may 2020 as determined using multiple serological assay formats
title_full_unstemmed Low Seroprevalence of SARS-CoV-2 in Rhode Island blood donors during may 2020 as determined using multiple serological assay formats
title_short Low Seroprevalence of SARS-CoV-2 in Rhode Island blood donors during may 2020 as determined using multiple serological assay formats
title_sort low seroprevalence of sars-cov-2 in rhode island blood donors during may 2020 as determined using multiple serological assay formats
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8386143/
https://www.ncbi.nlm.nih.gov/pubmed/34433423
http://dx.doi.org/10.1186/s12879-021-06438-4
work_keys_str_mv AT nesbittdanielj lowseroprevalenceofsarscov2inrhodeislandblooddonorsduringmay2020asdeterminedusingmultipleserologicalassayformats
AT jindanielp lowseroprevalenceofsarscov2inrhodeislandblooddonorsduringmay2020asdeterminedusingmultipleserologicalassayformats
AT hoganjosephw lowseroprevalenceofsarscov2inrhodeislandblooddonorsduringmay2020asdeterminedusingmultipleserologicalassayformats
AT yangjenny lowseroprevalenceofsarscov2inrhodeislandblooddonorsduringmay2020asdeterminedusingmultipleserologicalassayformats
AT chenhaidee lowseroprevalenceofsarscov2inrhodeislandblooddonorsduringmay2020asdeterminedusingmultipleserologicalassayformats
AT chanphilipa lowseroprevalenceofsarscov2inrhodeislandblooddonorsduringmay2020asdeterminedusingmultipleserologicalassayformats
AT simonmelissaj lowseroprevalenceofsarscov2inrhodeislandblooddonorsduringmay2020asdeterminedusingmultipleserologicalassayformats
AT vargasmatthew lowseroprevalenceofsarscov2inrhodeislandblooddonorsduringmay2020asdeterminedusingmultipleserologicalassayformats
AT kingewa lowseroprevalenceofsarscov2inrhodeislandblooddonorsduringmay2020asdeterminedusingmultipleserologicalassayformats
AT huardrichardc lowseroprevalenceofsarscov2inrhodeislandblooddonorsduringmay2020asdeterminedusingmultipleserologicalassayformats
AT bandyutpala lowseroprevalenceofsarscov2inrhodeislandblooddonorsduringmay2020asdeterminedusingmultipleserologicalassayformats
AT hillyerchristopherd lowseroprevalenceofsarscov2inrhodeislandblooddonorsduringmay2020asdeterminedusingmultipleserologicalassayformats
AT luchsingerlarryl lowseroprevalenceofsarscov2inrhodeislandblooddonorsduringmay2020asdeterminedusingmultipleserologicalassayformats