Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance
The aim of this work was to evaluate if rivers could be used for SARS-CoV-2 surveillance. Five sampling points from three rivers (AR-1 and AR-2 in Arenales River, MR-1 and MR-2 in Mojotoro River, and CR in La Caldera River) from Salta (Argentina), two of them receiving discharges from wastewater pla...
Saved in:
Main Authors: | , , , , , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
2023
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/164279 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
id |
sg-ntu-dr.10356-164279 |
---|---|
record_format |
dspace |
spelling |
sg-ntu-dr.10356-1642792023-01-13T02:42:23Z Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance Maidana-Kulesza, María Noel Poma, Hugo Ramiro Sanguino-Jorquera, Diego Gastón Reyes, Sarita Isabel Del Milagro Said-Adamo, María Mainardi-Remis, Juan Martín Gutiérrez-Cacciabue, Dolores Cristóbal, Héctor Antonio Cruz, Mercedes Cecilia Aparicio González, Mónica Rajal, Verónica Beatriz Singapore Centre for Environmental Life Sciences and Engineering Social sciences::Geography Water Quality Human Tracers The aim of this work was to evaluate if rivers could be used for SARS-CoV-2 surveillance. Five sampling points from three rivers (AR-1 and AR-2 in Arenales River, MR-1 and MR-2 in Mojotoro River, and CR in La Caldera River) from Salta (Argentina), two of them receiving discharges from wastewater plants (WWTP), were monitored from July to December 2020. Fifteen water samples from each point (75 in total) were collected and characterized physico-chemically and microbiologically and SARS-CoV-2 was quantified by RT-qPCR. Also, two targets linked to human contributions, human polyomavirus (HPyV) and RNase P, were quantified and used to normalize SARS-CoV-2 concentration, which was compared to reported COVID-19 cases. Statistical analyses allowed us to verify the correlation between SARS-CoV-2 and the concentration of fecal indicator bacteria (FIB), as well as to find similarities and differences between sampling points. La Caldera River showed the best water quality; FIBs were within acceptable limits for recreational activities. Mojotoro River's water quality was not affected by the northern WWTP of the city. Instead, Arenales River presented the poorest water quality; at AR-2 was negatively affected by the discharges of the southern WWTP, which contributed to significant increase of fecal contamination. SARS-CoV-2 was found in about half of samples in low concentrations in La Caldera and Mojotoro Rivers, while it was high and persistent in Arenales River. No human tracers were detected in CR, only HPyV was found in MR-1, MR-2 and AR-1, and both were quantified in AR-2. The experimental and normalized viral concentrations strongly correlated with reported COVID-19 cases; thus, Arenales River at AR-2 reflected the epidemiological situation of the city. This is the first study showing the dynamic of SARS-CoV-2 concentration in an urban river highly impacted by wastewater and proved that can be used for SARS-CoV-2 surveillance to support health authorities. This research was funded by Project COVID-19 233-785, from Fondo para la Investigación Científica y Tecnológica (FONCyT), Agencia Nacional de Promoción de la Investigación, el Desarrollo Tecnológico y la Innovación, Argentina. María Noel Maidana Kulesza, Diego Gastón Sanguino-Jorquera, Sarita Reyes, María del Milagro Said-Adamo, and Martín Mainardi Remis are recipients of doctoral fellowships from CONICET. 2023-01-13T02:42:23Z 2023-01-13T02:42:23Z 2022 Journal Article Maidana-Kulesza, M. N., Poma, H. R., Sanguino-Jorquera, D. G., Reyes, S. I., Del Milagro Said-Adamo, M., Mainardi-Remis, J. M., Gutiérrez-Cacciabue, D., Cristóbal, H. A., Cruz, M. C., Aparicio González, M. & Rajal, V. B. (2022). Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance. Science of the Total Environment, 848, 157707-. https://dx.doi.org/10.1016/j.scitotenv.2022.157707 0048-9697 https://hdl.handle.net/10356/164279 10.1016/j.scitotenv.2022.157707 35908692 2-s2.0-85135511402 848 157707 en Science of the Total Environment © 2022 Elsevier B.V. All rights reserved. |
institution |
Nanyang Technological University |
building |
NTU Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NTU Library |
collection |
DR-NTU |
language |
English |
topic |
Social sciences::Geography Water Quality Human Tracers |
spellingShingle |
Social sciences::Geography Water Quality Human Tracers Maidana-Kulesza, María Noel Poma, Hugo Ramiro Sanguino-Jorquera, Diego Gastón Reyes, Sarita Isabel Del Milagro Said-Adamo, María Mainardi-Remis, Juan Martín Gutiérrez-Cacciabue, Dolores Cristóbal, Héctor Antonio Cruz, Mercedes Cecilia Aparicio González, Mónica Rajal, Verónica Beatriz Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance |
description |
The aim of this work was to evaluate if rivers could be used for SARS-CoV-2 surveillance. Five sampling points from three rivers (AR-1 and AR-2 in Arenales River, MR-1 and MR-2 in Mojotoro River, and CR in La Caldera River) from Salta (Argentina), two of them receiving discharges from wastewater plants (WWTP), were monitored from July to December 2020. Fifteen water samples from each point (75 in total) were collected and characterized physico-chemically and microbiologically and SARS-CoV-2 was quantified by RT-qPCR. Also, two targets linked to human contributions, human polyomavirus (HPyV) and RNase P, were quantified and used to normalize SARS-CoV-2 concentration, which was compared to reported COVID-19 cases. Statistical analyses allowed us to verify the correlation between SARS-CoV-2 and the concentration of fecal indicator bacteria (FIB), as well as to find similarities and differences between sampling points. La Caldera River showed the best water quality; FIBs were within acceptable limits for recreational activities. Mojotoro River's water quality was not affected by the northern WWTP of the city. Instead, Arenales River presented the poorest water quality; at AR-2 was negatively affected by the discharges of the southern WWTP, which contributed to significant increase of fecal contamination. SARS-CoV-2 was found in about half of samples in low concentrations in La Caldera and Mojotoro Rivers, while it was high and persistent in Arenales River. No human tracers were detected in CR, only HPyV was found in MR-1, MR-2 and AR-1, and both were quantified in AR-2. The experimental and normalized viral concentrations strongly correlated with reported COVID-19 cases; thus, Arenales River at AR-2 reflected the epidemiological situation of the city. This is the first study showing the dynamic of SARS-CoV-2 concentration in an urban river highly impacted by wastewater and proved that can be used for SARS-CoV-2 surveillance to support health authorities. |
author2 |
Singapore Centre for Environmental Life Sciences and Engineering |
author_facet |
Singapore Centre for Environmental Life Sciences and Engineering Maidana-Kulesza, María Noel Poma, Hugo Ramiro Sanguino-Jorquera, Diego Gastón Reyes, Sarita Isabel Del Milagro Said-Adamo, María Mainardi-Remis, Juan Martín Gutiérrez-Cacciabue, Dolores Cristóbal, Héctor Antonio Cruz, Mercedes Cecilia Aparicio González, Mónica Rajal, Verónica Beatriz |
format |
Article |
author |
Maidana-Kulesza, María Noel Poma, Hugo Ramiro Sanguino-Jorquera, Diego Gastón Reyes, Sarita Isabel Del Milagro Said-Adamo, María Mainardi-Remis, Juan Martín Gutiérrez-Cacciabue, Dolores Cristóbal, Héctor Antonio Cruz, Mercedes Cecilia Aparicio González, Mónica Rajal, Verónica Beatriz |
author_sort |
Maidana-Kulesza, María Noel |
title |
Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance |
title_short |
Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance |
title_full |
Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance |
title_fullStr |
Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance |
title_full_unstemmed |
Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance |
title_sort |
tracking sars-cov-2 in rivers as a tool for epidemiological surveillance |
publishDate |
2023 |
url |
https://hdl.handle.net/10356/164279 |
_version_ |
1756370559778684928 |