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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2023
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.
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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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