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Seroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chile
BACKGROUND: Seroprevalence studies provide an accurate measure of SARS-CoV-2 spread and the presence of asymptomatic cases. They also provide information on the uneven impact of the pandemic, pointing out vulnerable groups to prioritize which is particularly relevant in unequal societies. However, d...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795965/ https://www.ncbi.nlm.nih.gov/pubmed/35090398 http://dx.doi.org/10.1186/s12879-022-07045-7 |
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author | Vial, Pablo González, Claudia Icaza, Gloria Ramirez-Santana, Muriel Quezada-Gaete, Rubén Núñez-Franz, Loreto Apablaza, Mauricio Vial, Cecilia Rubilar, Paola Correa, Juan Pérez, Claudia Florea, Andrei Guzmán, Eugenio Lavín, María-Estela Concha, Paula Nájera, Manuel Aguilera, Ximena |
author_facet | Vial, Pablo González, Claudia Icaza, Gloria Ramirez-Santana, Muriel Quezada-Gaete, Rubén Núñez-Franz, Loreto Apablaza, Mauricio Vial, Cecilia Rubilar, Paola Correa, Juan Pérez, Claudia Florea, Andrei Guzmán, Eugenio Lavín, María-Estela Concha, Paula Nájera, Manuel Aguilera, Ximena |
author_sort | Vial, Pablo |
collection | PubMed |
description | BACKGROUND: Seroprevalence studies provide an accurate measure of SARS-CoV-2 spread and the presence of asymptomatic cases. They also provide information on the uneven impact of the pandemic, pointing out vulnerable groups to prioritize which is particularly relevant in unequal societies. However, due to their high cost, they provide limited evidence of spatial spread of the pandemic specially in unequal societies. Our objective was to estimate the prevalence of SARS-CoV-2 antibodies in Chile and model its spatial risk distribution. METHODS: During Oct–Nov 2020, we conducted a population-based serosurvey in Santiago, Talca, and Coquimbo–La Serena (2493 individuals). We explored the individual association between positive results and socio-economic and health-related variables by logistic regression for complex surveys. Then, using an Empirical Bayesian Kriging model, we estimated the infection risk spatial distribution using individual and census information, and compared these results with official records. RESULTS: Seroprevalence was 10.4% (95% CI 7.8–13.7%), ranging from 2% (Talca) to 11% (Santiago), almost three times the number officially reported. Approximately 36% of these were asymptomatic, reaching 82% below 15 years old. Seroprevalence was associated with the city of residence, previous COVID-19 diagnosis, contact with confirmed cases (especially at household), and foreign nationality. The spatial model accurately interpolated the distribution of disease risk within the cities finding significant differences in the predicted probabilities of SARS-CoV-2 infection by census zone (IQR 2.5–15.0%), related to population density and education. CONCLUSIONS: Our results underscore the transmission heterogeneity of SARS-CoV-2 within and across three urban centers of Chile. Socio-economic factors and the outcomes of this seroprevalence study enable us to identify priority areas for intervention. Our methodological approach and results can help guide the design of interdisciplinary strategies for urban contexts, not only for SARS-CoV-2 but also for other communicable diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07045-7. |
format | Online Article Text |
id | pubmed-8795965 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-87959652022-01-28 Seroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chile Vial, Pablo González, Claudia Icaza, Gloria Ramirez-Santana, Muriel Quezada-Gaete, Rubén Núñez-Franz, Loreto Apablaza, Mauricio Vial, Cecilia Rubilar, Paola Correa, Juan Pérez, Claudia Florea, Andrei Guzmán, Eugenio Lavín, María-Estela Concha, Paula Nájera, Manuel Aguilera, Ximena BMC Infect Dis Research BACKGROUND: Seroprevalence studies provide an accurate measure of SARS-CoV-2 spread and the presence of asymptomatic cases. They also provide information on the uneven impact of the pandemic, pointing out vulnerable groups to prioritize which is particularly relevant in unequal societies. However, due to their high cost, they provide limited evidence of spatial spread of the pandemic specially in unequal societies. Our objective was to estimate the prevalence of SARS-CoV-2 antibodies in Chile and model its spatial risk distribution. METHODS: During Oct–Nov 2020, we conducted a population-based serosurvey in Santiago, Talca, and Coquimbo–La Serena (2493 individuals). We explored the individual association between positive results and socio-economic and health-related variables by logistic regression for complex surveys. Then, using an Empirical Bayesian Kriging model, we estimated the infection risk spatial distribution using individual and census information, and compared these results with official records. RESULTS: Seroprevalence was 10.4% (95% CI 7.8–13.7%), ranging from 2% (Talca) to 11% (Santiago), almost three times the number officially reported. Approximately 36% of these were asymptomatic, reaching 82% below 15 years old. Seroprevalence was associated with the city of residence, previous COVID-19 diagnosis, contact with confirmed cases (especially at household), and foreign nationality. The spatial model accurately interpolated the distribution of disease risk within the cities finding significant differences in the predicted probabilities of SARS-CoV-2 infection by census zone (IQR 2.5–15.0%), related to population density and education. CONCLUSIONS: Our results underscore the transmission heterogeneity of SARS-CoV-2 within and across three urban centers of Chile. Socio-economic factors and the outcomes of this seroprevalence study enable us to identify priority areas for intervention. Our methodological approach and results can help guide the design of interdisciplinary strategies for urban contexts, not only for SARS-CoV-2 but also for other communicable diseases. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-022-07045-7. BioMed Central 2022-01-28 /pmc/articles/PMC8795965/ /pubmed/35090398 http://dx.doi.org/10.1186/s12879-022-07045-7 Text en © The Author(s) 2022 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 Vial, Pablo González, Claudia Icaza, Gloria Ramirez-Santana, Muriel Quezada-Gaete, Rubén Núñez-Franz, Loreto Apablaza, Mauricio Vial, Cecilia Rubilar, Paola Correa, Juan Pérez, Claudia Florea, Andrei Guzmán, Eugenio Lavín, María-Estela Concha, Paula Nájera, Manuel Aguilera, Ximena Seroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chile |
title | Seroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chile |
title_full | Seroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chile |
title_fullStr | Seroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chile |
title_full_unstemmed | Seroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chile |
title_short | Seroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chile |
title_sort | seroprevalence, spatial distribution, and social determinants of sars-cov-2 in three urban centers of chile |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795965/ https://www.ncbi.nlm.nih.gov/pubmed/35090398 http://dx.doi.org/10.1186/s12879-022-07045-7 |
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