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Long-term monitoring of COVID-19 prevalence in raw and treated wastewater in Salvador, the largest capital of the Brazilian Northeast
Wastewater-based epidemiology (WBE) becomes an interesting epidemiological approach to monitoring the prevalence of SARS-CoV-2 broadly and non-invasively. Herein, we employ for the first time WBE, associated or not with the PEG 8000 precipitation method, for the detection of SARS-CoV-2 in samples of...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502096/ https://www.ncbi.nlm.nih.gov/pubmed/37709804 http://dx.doi.org/10.1038/s41598-023-41060-1 |
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author | de Araújo Rolo, Carolina Machado, Bruna Aparecida Souza dos Santos, Matheus Carmo dos Santos, Rosângela Fernandes Fonseca, Maísa Santos Hodel, Katharine Valéria Saraiva Silva, Jéssica Rebouças Nunes, Danielle Devequi Gomes dos Santos Almeida, Edna de Andrade, Jailson Bittencourt |
author_facet | de Araújo Rolo, Carolina Machado, Bruna Aparecida Souza dos Santos, Matheus Carmo dos Santos, Rosângela Fernandes Fonseca, Maísa Santos Hodel, Katharine Valéria Saraiva Silva, Jéssica Rebouças Nunes, Danielle Devequi Gomes dos Santos Almeida, Edna de Andrade, Jailson Bittencourt |
author_sort | de Araújo Rolo, Carolina |
collection | PubMed |
description | Wastewater-based epidemiology (WBE) becomes an interesting epidemiological approach to monitoring the prevalence of SARS-CoV-2 broadly and non-invasively. Herein, we employ for the first time WBE, associated or not with the PEG 8000 precipitation method, for the detection of SARS-CoV-2 in samples of raw or treated wastewater from 22 municipal wastewater treatment stations (WWTPs) located in Salvador, the fourth most populous city in Brazil. Our results demonstrate the success of the application of WBE for detecting SARS-CoV-2 in both types of evaluated samples, regardless of the usage of PEG 8000 concentration procedure. Further, an increase in SARS-CoV-2 positivity rate was observed in samples collected in months that presented the highest number of confirmed COVID-19 cases (May/2021, June/2021 and January/2022). While PEG 8000 concentration step was found to significantly increase the positivity rate in treated wastewater samples (p < 0.005), a strong positive correlation (r: 0.84; p < 0.002) between non-concentrated raw wastewater samples with the number of new cases of COVID-19 (April/2021–February/2022) was observed. In general, the present results reinforce the efficiency of WBE approach to monitoring the presence of SARS-CoV-2 in either low- or high-capacity WWTPs. The successful usage of WBE even in raw wastewater samples makes it an interesting low-cost tool for epidemiological surveillance. |
format | Online Article Text |
id | pubmed-10502096 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105020962023-09-16 Long-term monitoring of COVID-19 prevalence in raw and treated wastewater in Salvador, the largest capital of the Brazilian Northeast de Araújo Rolo, Carolina Machado, Bruna Aparecida Souza dos Santos, Matheus Carmo dos Santos, Rosângela Fernandes Fonseca, Maísa Santos Hodel, Katharine Valéria Saraiva Silva, Jéssica Rebouças Nunes, Danielle Devequi Gomes dos Santos Almeida, Edna de Andrade, Jailson Bittencourt Sci Rep Article Wastewater-based epidemiology (WBE) becomes an interesting epidemiological approach to monitoring the prevalence of SARS-CoV-2 broadly and non-invasively. Herein, we employ for the first time WBE, associated or not with the PEG 8000 precipitation method, for the detection of SARS-CoV-2 in samples of raw or treated wastewater from 22 municipal wastewater treatment stations (WWTPs) located in Salvador, the fourth most populous city in Brazil. Our results demonstrate the success of the application of WBE for detecting SARS-CoV-2 in both types of evaluated samples, regardless of the usage of PEG 8000 concentration procedure. Further, an increase in SARS-CoV-2 positivity rate was observed in samples collected in months that presented the highest number of confirmed COVID-19 cases (May/2021, June/2021 and January/2022). While PEG 8000 concentration step was found to significantly increase the positivity rate in treated wastewater samples (p < 0.005), a strong positive correlation (r: 0.84; p < 0.002) between non-concentrated raw wastewater samples with the number of new cases of COVID-19 (April/2021–February/2022) was observed. In general, the present results reinforce the efficiency of WBE approach to monitoring the presence of SARS-CoV-2 in either low- or high-capacity WWTPs. The successful usage of WBE even in raw wastewater samples makes it an interesting low-cost tool for epidemiological surveillance. Nature Publishing Group UK 2023-09-14 /pmc/articles/PMC10502096/ /pubmed/37709804 http://dx.doi.org/10.1038/s41598-023-41060-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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/) . |
spellingShingle | Article de Araújo Rolo, Carolina Machado, Bruna Aparecida Souza dos Santos, Matheus Carmo dos Santos, Rosângela Fernandes Fonseca, Maísa Santos Hodel, Katharine Valéria Saraiva Silva, Jéssica Rebouças Nunes, Danielle Devequi Gomes dos Santos Almeida, Edna de Andrade, Jailson Bittencourt Long-term monitoring of COVID-19 prevalence in raw and treated wastewater in Salvador, the largest capital of the Brazilian Northeast |
title | Long-term monitoring of COVID-19 prevalence in raw and treated wastewater in Salvador, the largest capital of the Brazilian Northeast |
title_full | Long-term monitoring of COVID-19 prevalence in raw and treated wastewater in Salvador, the largest capital of the Brazilian Northeast |
title_fullStr | Long-term monitoring of COVID-19 prevalence in raw and treated wastewater in Salvador, the largest capital of the Brazilian Northeast |
title_full_unstemmed | Long-term monitoring of COVID-19 prevalence in raw and treated wastewater in Salvador, the largest capital of the Brazilian Northeast |
title_short | Long-term monitoring of COVID-19 prevalence in raw and treated wastewater in Salvador, the largest capital of the Brazilian Northeast |
title_sort | long-term monitoring of covid-19 prevalence in raw and treated wastewater in salvador, the largest capital of the brazilian northeast |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10502096/ https://www.ncbi.nlm.nih.gov/pubmed/37709804 http://dx.doi.org/10.1038/s41598-023-41060-1 |
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