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Seroprevalence of anti-SARS-CoV-2 antibodies and risk factors among healthy blood donors in Luanda, Angola
BACKGROUND: SARS-CoV-2 emerged in China and spread throughout the world due to its rapid transmission. The exposure rate in the healthy population is unknown, mainly in resource-limited countries. Herein, we estimated the seroprevalence of anti-SARS-CoV-2 antibodies and risk factors among blood dono...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8562364/ https://www.ncbi.nlm.nih.gov/pubmed/34727874 http://dx.doi.org/10.1186/s12879-021-06814-0 |
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author | Sebastião, Cruz S. Galangue, Manuela Gaston, Celestina Van-Dunen, Rui Quivinja, Joltim Lunbungululo, Emiliana Alfredo, Domingos Sozinho, Alberto Teixeira, Alice Manico, Eunice Machado, Deodete Mateus, António David, Zinga Paixão, Joana Neto, Zoraima de Vasconcelos, Jocelyne Neto Morais, Joana |
author_facet | Sebastião, Cruz S. Galangue, Manuela Gaston, Celestina Van-Dunen, Rui Quivinja, Joltim Lunbungululo, Emiliana Alfredo, Domingos Sozinho, Alberto Teixeira, Alice Manico, Eunice Machado, Deodete Mateus, António David, Zinga Paixão, Joana Neto, Zoraima de Vasconcelos, Jocelyne Neto Morais, Joana |
author_sort | Sebastião, Cruz S. |
collection | PubMed |
description | BACKGROUND: SARS-CoV-2 emerged in China and spread throughout the world due to its rapid transmission. The exposure rate in the healthy population is unknown, mainly in resource-limited countries. Herein, we estimated the seroprevalence of anti-SARS-CoV-2 antibodies and risk factors among blood donors in Luanda, the capital city of Angola. METHODS: This was a retrospective study conducted with 343 blood donors. Chi-square and logistic regression were calculated to predict the independent variable for SARS-CoV-2 infection and deemed significant when p < 0.05. RESULTS: Seroprevalence of anti-SARS-CoV-2 was 4.7%. Positivity rates varied to age groups (3.5–14.3%), gender (0–5%), area of residence (3.1–.6%), educational level (5.1–10.2%), occupation (4.4–7.7%), and the blood donor category (2.0–5.1%). Past and recent infections were detected in 3.2% and 1.5%, respectively. Blood donors under the age of 20 years (OR: 4.58, p = 0.241) and from non-urbanized areas (OR: 1.86, p = 0.293) presented a high risk related to infection. The infection was higher in blood group A and lower in blood group O. The risk of SARS-CoV-2 infection has increased from January 2020 (OR: 0.03, p = 0.001) to August 2020 (OR: 0.57, p = 0.426). CONCLUSIONS: We provide an estimate of the exposure of healthy blood donors in Luanda. Also, we detected anti-SARS-CoV-2 in January 2020, indicating that the SARS-CoV-2 could have been imported during the first month of 2020. Further studies should be performed to assess the exposure rate in different groups from Angola. |
format | Online Article Text |
id | pubmed-8562364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-85623642021-11-03 Seroprevalence of anti-SARS-CoV-2 antibodies and risk factors among healthy blood donors in Luanda, Angola Sebastião, Cruz S. Galangue, Manuela Gaston, Celestina Van-Dunen, Rui Quivinja, Joltim Lunbungululo, Emiliana Alfredo, Domingos Sozinho, Alberto Teixeira, Alice Manico, Eunice Machado, Deodete Mateus, António David, Zinga Paixão, Joana Neto, Zoraima de Vasconcelos, Jocelyne Neto Morais, Joana BMC Infect Dis Research BACKGROUND: SARS-CoV-2 emerged in China and spread throughout the world due to its rapid transmission. The exposure rate in the healthy population is unknown, mainly in resource-limited countries. Herein, we estimated the seroprevalence of anti-SARS-CoV-2 antibodies and risk factors among blood donors in Luanda, the capital city of Angola. METHODS: This was a retrospective study conducted with 343 blood donors. Chi-square and logistic regression were calculated to predict the independent variable for SARS-CoV-2 infection and deemed significant when p < 0.05. RESULTS: Seroprevalence of anti-SARS-CoV-2 was 4.7%. Positivity rates varied to age groups (3.5–14.3%), gender (0–5%), area of residence (3.1–.6%), educational level (5.1–10.2%), occupation (4.4–7.7%), and the blood donor category (2.0–5.1%). Past and recent infections were detected in 3.2% and 1.5%, respectively. Blood donors under the age of 20 years (OR: 4.58, p = 0.241) and from non-urbanized areas (OR: 1.86, p = 0.293) presented a high risk related to infection. The infection was higher in blood group A and lower in blood group O. The risk of SARS-CoV-2 infection has increased from January 2020 (OR: 0.03, p = 0.001) to August 2020 (OR: 0.57, p = 0.426). CONCLUSIONS: We provide an estimate of the exposure of healthy blood donors in Luanda. Also, we detected anti-SARS-CoV-2 in January 2020, indicating that the SARS-CoV-2 could have been imported during the first month of 2020. Further studies should be performed to assess the exposure rate in different groups from Angola. BioMed Central 2021-11-02 /pmc/articles/PMC8562364/ /pubmed/34727874 http://dx.doi.org/10.1186/s12879-021-06814-0 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 Sebastião, Cruz S. Galangue, Manuela Gaston, Celestina Van-Dunen, Rui Quivinja, Joltim Lunbungululo, Emiliana Alfredo, Domingos Sozinho, Alberto Teixeira, Alice Manico, Eunice Machado, Deodete Mateus, António David, Zinga Paixão, Joana Neto, Zoraima de Vasconcelos, Jocelyne Neto Morais, Joana Seroprevalence of anti-SARS-CoV-2 antibodies and risk factors among healthy blood donors in Luanda, Angola |
title | Seroprevalence of anti-SARS-CoV-2 antibodies and risk factors among healthy blood donors in Luanda, Angola |
title_full | Seroprevalence of anti-SARS-CoV-2 antibodies and risk factors among healthy blood donors in Luanda, Angola |
title_fullStr | Seroprevalence of anti-SARS-CoV-2 antibodies and risk factors among healthy blood donors in Luanda, Angola |
title_full_unstemmed | Seroprevalence of anti-SARS-CoV-2 antibodies and risk factors among healthy blood donors in Luanda, Angola |
title_short | Seroprevalence of anti-SARS-CoV-2 antibodies and risk factors among healthy blood donors in Luanda, Angola |
title_sort | seroprevalence of anti-sars-cov-2 antibodies and risk factors among healthy blood donors in luanda, angola |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8562364/ https://www.ncbi.nlm.nih.gov/pubmed/34727874 http://dx.doi.org/10.1186/s12879-021-06814-0 |
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