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High SARS-CoV-2 Seroprevalence after Second COVID-19 Wave (October 2020–April 2021), Democratic Republic of the Congo
Serologic surveys are important tools for estimating the true burden of COVID-19 in a given population. After the first wave of SARS-CoV-2 infections, a household-based survey conducted in Kinshasa, Democratic Republic of the Congo, estimated >292 infections going undiagnosed for every laboratory...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796206/ https://www.ncbi.nlm.nih.gov/pubmed/36573545 http://dx.doi.org/10.3201/eid2901.221009 |
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author | Munyeku-Bazitama, Yannick Folefack, Gervais T. Yambayamba, Marc K. Tshiminyi, Paul M. Kazenza, Benito M. Otshudiema, John O. Guinko, Noe Tondri Umba, Moreau D. Mulumba, Anastasie Baketana, Lionel K. Mukadi, Patrick K. Smith, Chris Muyembe-Tamfum, Jean-Jacques Ahuka-Mundeke, Steve Makiala-Mandanda, Sheila |
author_facet | Munyeku-Bazitama, Yannick Folefack, Gervais T. Yambayamba, Marc K. Tshiminyi, Paul M. Kazenza, Benito M. Otshudiema, John O. Guinko, Noe Tondri Umba, Moreau D. Mulumba, Anastasie Baketana, Lionel K. Mukadi, Patrick K. Smith, Chris Muyembe-Tamfum, Jean-Jacques Ahuka-Mundeke, Steve Makiala-Mandanda, Sheila |
author_sort | Munyeku-Bazitama, Yannick |
collection | PubMed |
description | Serologic surveys are important tools for estimating the true burden of COVID-19 in a given population. After the first wave of SARS-CoV-2 infections, a household-based survey conducted in Kinshasa, Democratic Republic of the Congo, estimated >292 infections going undiagnosed for every laboratory-confirmed case. To ascertain the cumulative population exposure in Kinshasa after the second wave of COVID-19, we conducted a prospective population-based cross-sectional study using a highly sensitive and specific ELISA kit. The survey included 2,560 consenting persons from 585 households; 55% were female and 45% male. The overall population-weighted, test kit–adjusted SARS-CoV-2 seroprevalence was 76.5% (95% CI 74.5%–78.5%). The seroprevalence was 4-fold higher than during the first wave, and positivity was associated with age, household average monthly income, and level of education. Evidence generated from this population-based survey can inform COVID-19 response, especially vaccination campaign strategies in the context of vaccine shortages and hesitancy. |
format | Online Article Text |
id | pubmed-9796206 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-97962062023-01-09 High SARS-CoV-2 Seroprevalence after Second COVID-19 Wave (October 2020–April 2021), Democratic Republic of the Congo Munyeku-Bazitama, Yannick Folefack, Gervais T. Yambayamba, Marc K. Tshiminyi, Paul M. Kazenza, Benito M. Otshudiema, John O. Guinko, Noe Tondri Umba, Moreau D. Mulumba, Anastasie Baketana, Lionel K. Mukadi, Patrick K. Smith, Chris Muyembe-Tamfum, Jean-Jacques Ahuka-Mundeke, Steve Makiala-Mandanda, Sheila Emerg Infect Dis Research Serologic surveys are important tools for estimating the true burden of COVID-19 in a given population. After the first wave of SARS-CoV-2 infections, a household-based survey conducted in Kinshasa, Democratic Republic of the Congo, estimated >292 infections going undiagnosed for every laboratory-confirmed case. To ascertain the cumulative population exposure in Kinshasa after the second wave of COVID-19, we conducted a prospective population-based cross-sectional study using a highly sensitive and specific ELISA kit. The survey included 2,560 consenting persons from 585 households; 55% were female and 45% male. The overall population-weighted, test kit–adjusted SARS-CoV-2 seroprevalence was 76.5% (95% CI 74.5%–78.5%). The seroprevalence was 4-fold higher than during the first wave, and positivity was associated with age, household average monthly income, and level of education. Evidence generated from this population-based survey can inform COVID-19 response, especially vaccination campaign strategies in the context of vaccine shortages and hesitancy. Centers for Disease Control and Prevention 2023-01 /pmc/articles/PMC9796206/ /pubmed/36573545 http://dx.doi.org/10.3201/eid2901.221009 Text en https://creativecommons.org/licenses/by/4.0/Emerging Infectious Diseases is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Research Munyeku-Bazitama, Yannick Folefack, Gervais T. Yambayamba, Marc K. Tshiminyi, Paul M. Kazenza, Benito M. Otshudiema, John O. Guinko, Noe Tondri Umba, Moreau D. Mulumba, Anastasie Baketana, Lionel K. Mukadi, Patrick K. Smith, Chris Muyembe-Tamfum, Jean-Jacques Ahuka-Mundeke, Steve Makiala-Mandanda, Sheila High SARS-CoV-2 Seroprevalence after Second COVID-19 Wave (October 2020–April 2021), Democratic Republic of the Congo |
title | High SARS-CoV-2 Seroprevalence after Second COVID-19 Wave (October 2020–April 2021), Democratic Republic of the Congo |
title_full | High SARS-CoV-2 Seroprevalence after Second COVID-19 Wave (October 2020–April 2021), Democratic Republic of the Congo |
title_fullStr | High SARS-CoV-2 Seroprevalence after Second COVID-19 Wave (October 2020–April 2021), Democratic Republic of the Congo |
title_full_unstemmed | High SARS-CoV-2 Seroprevalence after Second COVID-19 Wave (October 2020–April 2021), Democratic Republic of the Congo |
title_short | High SARS-CoV-2 Seroprevalence after Second COVID-19 Wave (October 2020–April 2021), Democratic Republic of the Congo |
title_sort | high sars-cov-2 seroprevalence after second covid-19 wave (october 2020–april 2021), democratic republic of the congo |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9796206/ https://www.ncbi.nlm.nih.gov/pubmed/36573545 http://dx.doi.org/10.3201/eid2901.221009 |
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