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Detection of SARS-CoV-2 in Wastewater Northeast of Mexico City: Strategy for Monitoring and Prevalence of COVID-19
A month-long wastewater sampling project was conducted along the northeast periphery of Mexico City, specifically in the state of Hidalgo, to assess the presence of SARS-CoV-2. To determine the prevalence of infection and obtain a range of COVID-19 cases in the main metropolitan zones. Viral RNA res...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393920/ https://www.ncbi.nlm.nih.gov/pubmed/34444296 http://dx.doi.org/10.3390/ijerph18168547 |
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author | González-Reyes, José Roberto Hernández-Flores, María de la Luz Paredes-Zarco, Jesús Eduardo Téllez-Jurado, Alejandro Fayad-Meneses, Omar Carranza-Ramírez, Lamán |
author_facet | González-Reyes, José Roberto Hernández-Flores, María de la Luz Paredes-Zarco, Jesús Eduardo Téllez-Jurado, Alejandro Fayad-Meneses, Omar Carranza-Ramírez, Lamán |
author_sort | González-Reyes, José Roberto |
collection | PubMed |
description | A month-long wastewater sampling project was conducted along the northeast periphery of Mexico City, specifically in the state of Hidalgo, to assess the presence of SARS-CoV-2. To determine the prevalence of infection and obtain a range of COVID-19 cases in the main metropolitan zones. Viral RNA residues (0–197,655 copies/L) were measured in wastewater from the five central municipalities in the state. By recording the number of RNA viral copies per liter, micro-basins delimitation, demographic and physiological data, an interval of infected people and virus prevalence was estimated using a Monte Carlo model (with 90% confidence) in the micro-basin of five municipalities with metropolitan influence or industrial activity. Our procedure determined that the percentage of the infected population ranges from 1.4% to 41.7%, while the official data reports 0.1–0.3%. This model is proposed as a helpful method of regional epidemiological monitoring through the analysis of viral prevalence. |
format | Online Article Text |
id | pubmed-8393920 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83939202021-08-28 Detection of SARS-CoV-2 in Wastewater Northeast of Mexico City: Strategy for Monitoring and Prevalence of COVID-19 González-Reyes, José Roberto Hernández-Flores, María de la Luz Paredes-Zarco, Jesús Eduardo Téllez-Jurado, Alejandro Fayad-Meneses, Omar Carranza-Ramírez, Lamán Int J Environ Res Public Health Article A month-long wastewater sampling project was conducted along the northeast periphery of Mexico City, specifically in the state of Hidalgo, to assess the presence of SARS-CoV-2. To determine the prevalence of infection and obtain a range of COVID-19 cases in the main metropolitan zones. Viral RNA residues (0–197,655 copies/L) were measured in wastewater from the five central municipalities in the state. By recording the number of RNA viral copies per liter, micro-basins delimitation, demographic and physiological data, an interval of infected people and virus prevalence was estimated using a Monte Carlo model (with 90% confidence) in the micro-basin of five municipalities with metropolitan influence or industrial activity. Our procedure determined that the percentage of the infected population ranges from 1.4% to 41.7%, while the official data reports 0.1–0.3%. This model is proposed as a helpful method of regional epidemiological monitoring through the analysis of viral prevalence. MDPI 2021-08-13 /pmc/articles/PMC8393920/ /pubmed/34444296 http://dx.doi.org/10.3390/ijerph18168547 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article González-Reyes, José Roberto Hernández-Flores, María de la Luz Paredes-Zarco, Jesús Eduardo Téllez-Jurado, Alejandro Fayad-Meneses, Omar Carranza-Ramírez, Lamán Detection of SARS-CoV-2 in Wastewater Northeast of Mexico City: Strategy for Monitoring and Prevalence of COVID-19 |
title | Detection of SARS-CoV-2 in Wastewater Northeast of Mexico City: Strategy for Monitoring and Prevalence of COVID-19 |
title_full | Detection of SARS-CoV-2 in Wastewater Northeast of Mexico City: Strategy for Monitoring and Prevalence of COVID-19 |
title_fullStr | Detection of SARS-CoV-2 in Wastewater Northeast of Mexico City: Strategy for Monitoring and Prevalence of COVID-19 |
title_full_unstemmed | Detection of SARS-CoV-2 in Wastewater Northeast of Mexico City: Strategy for Monitoring and Prevalence of COVID-19 |
title_short | Detection of SARS-CoV-2 in Wastewater Northeast of Mexico City: Strategy for Monitoring and Prevalence of COVID-19 |
title_sort | detection of sars-cov-2 in wastewater northeast of mexico city: strategy for monitoring and prevalence of covid-19 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8393920/ https://www.ncbi.nlm.nih.gov/pubmed/34444296 http://dx.doi.org/10.3390/ijerph18168547 |
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