Evidence map›Paper›PMID 35908692›Full record

ArticleThe Science of the total environment2022

Tracking SARS-CoV-2 in rivers as a tool for epidemiological surveillance.

María Noel Maidana-Kulesza, Hugo Ramiro Poma, Diego Gastón Sanguino-Jorquera, Sarita Isabel Reyes, María Del Milagro Said-Adamo, Juan Martín Mainardi-Remis, Dolores Gutiérrez-Cacciabue, Héctor Antonio Cristóbal, Mercedes Cecilia Cruz, Mónica Aparicio González and 1 more

Open access · greenAbstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Presence and persistence of SARS-CoV-2 in aquatic environments: A mini-review.Current opinion in environmental science & health · 2022
    Review
  7. Article
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

María Noel Maidana-KuleszaLaboratorio de Aguas y Suelos, Instituto de Investigaciones para la Industria Química (INIQUI), Universidad Nacional de Salta (UNSa) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Bolivia 5150, Salta 4400, Argentina.
Hugo Ramiro PomaLaboratorio de Aguas y Suelos, Instituto de Investigaciones para la Industria Química (INIQUI), Universidad Nacional de Salta (UNSa) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Bolivia 5150, Salta 4400, Argentina.
Diego Gastón Sanguino-JorqueraLaboratorio de Aguas y Suelos, Instituto de Investigaciones para la Industria Química (INIQUI), Universidad Nacional de Salta (UNSa) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Bolivia 5150, Salta 4400, Argentina.
Sarita Isabel ReyesLaboratorio de Aguas y Suelos, Instituto de Investigaciones para la Industria Química (INIQUI), Universidad Nacional de Salta (UNSa) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Bolivia 5150, Salta 4400, Argentina.
María Del Milagro Said-AdamoLaboratorio de Aguas y Suelos, Instituto de Investigaciones para la Industria Química (INIQUI), Universidad Nacional de Salta (UNSa) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Bolivia 5150, Salta 4400, Argentina; Facultad de Ciencias Naturales, UNSa, Av. Bolivia 5150, Salta 4400, Argentina.
Juan Martín Mainardi-RemisLaboratorio de Aguas y Suelos, Instituto de Investigaciones para la Industria Química (INIQUI), Universidad Nacional de Salta (UNSa) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Bolivia 5150, Salta 4400, Argentina; Facultad de Ingeniería, UNSa, Av. Bolivia 5150, Salta 4400, Argentina.
Dolores Gutiérrez-CacciabueLaboratorio de Aguas y Suelos, Instituto de Investigaciones para la Industria Química (INIQUI), Universidad Nacional de Salta (UNSa) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Bolivia 5150, Salta 4400, Argentina; Facultad de Ingeniería, UNSa, Av. Bolivia 5150, Salta 4400, Argentina.
Héctor Antonio CristóbalLaboratorio de Aguas y Suelos, Instituto de Investigaciones para la Industria Química (INIQUI), Universidad Nacional de Salta (UNSa) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Bolivia 5150, Salta 4400, Argentina; Facultad de Ciencias Naturales, UNSa, Av. Bolivia 5150, Salta 4400, Argentina.
Mercedes Cecilia CruzLaboratorio de Aguas y Suelos, Instituto de Investigaciones para la Industria Química (INIQUI), Universidad Nacional de Salta (UNSa) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Bolivia 5150, Salta 4400, Argentina.
Mónica Aparicio GonzálezLaboratorio de Aguas y Suelos, Instituto de Investigaciones para la Industria Química (INIQUI), Universidad Nacional de Salta (UNSa) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Bolivia 5150, Salta 4400, Argentina.
Verónica Beatriz RajalLaboratorio de Aguas y Suelos, Instituto de Investigaciones para la Industria Química (INIQUI), Universidad Nacional de Salta (UNSa) - Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Bolivia 5150, Salta 4400, Argentina; Facultad de Ingeniería, UNSa, Av. Bolivia 5150, Salta 4400, Argentina; Singapore Centre for Environmental Life Science Engineering (SCELSE), Nanyang Technological University, Singapore. Electronic address: vbrajal@gmail.com.
National University of Salta · ARConsejo Nacional de Investigaciones Científicas y Técnicas · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

COVID-19SARS-CoV-2HumansPolystyrenesRibonuclease PRiversWastewaterAmberlite XAD-2 resinPolystyrenesRibonuclease PWastewaterEpidemiological surveillanceHuman tracersNormalizationRivers impacted by wastewaterSARS-CoV-2Water quality

Identifiers

PMID35908692
PMCPMC9334864
OpenAlexW4288736503

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.