Evidence map›Paper›PMID 34274669›Full record

ArticleThe Science of the total environment2021

Monitoring of SARS-CoV-2 RNA in wastewater as an epidemiological surveillance tool in Mendoza, Argentina.

Maximiliano Giraud-Billoud, Paula Cuervo, Jorgelina C Altamirano, Marcela Pizarro, Julieta N Aranibar, Adolfo Catapano, Héctor Cuello, Gisela Masachessi, Israel A Vega

Abstract read
In one paragraph

Article in The Science of the total environment, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

33 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  15. 20-Month monitoring of SARS-CoV-2 in wastewater of Curitiba, in Southern Brazil.Environmental science and pollution research international · 2023
    Article
  16. Structured Ethical Review for Wastewater-Based Testing.medRxiv : the preprint server for health sciences · 2023
    Article
  17. Article
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  20. Presence of SARS-CoV-2 in urban effluents in south-east Buenos Aires, Argentina, May 2020 to March 2022.Revista panamericana de salud publica = Pan American journal of public health · 2023
    Article
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

9 authors.

Maximiliano Giraud-BilloudIHEM, Universidad Nacional de Cuyo, CONICET, Casilla de Correo 33, 5500 Mendoza, Argentina; Universidad Nacional de Cuyo, Facultad de Ciencias Médicas, Instituto de Fisiología, Casilla de Correo 33, 5500 Mendoza, Argentina; Universidad Nacional de Villa Mercedes, Escuela de Ciencias de la Salud-Medicina, Departamento de Ciencias Básicas, 5730 San Luis, Argentina.
Paula CuervoUniversidad Nacional de Cuyo, Facultad de Ciencias Médicas, Instituto de Fisiología, Casilla de Correo 33, 5500 Mendoza, Argentina.
Jorgelina C AltamiranoUniversidad Nacional de Cuyo, Facultad de Ciencias Exactas y Naturales, Casilla de Correo 33, 5500 Mendoza, Argentina; IANIGLA, CONICET, Universidad Nacional de Cuyo, Casilla de Correo 330, Mendoza, Argentina.
Marcela PizarroUniversidad Nacional de Cuyo, Facultad de Ciencias Médicas, Instituto de Fisiología, Casilla de Correo 33, 5500 Mendoza, Argentina.
Julieta N AranibarUniversidad Nacional de Cuyo, Facultad de Ciencias Exactas y Naturales, Casilla de Correo 33, 5500 Mendoza, Argentina; IANIGLA, CONICET, Universidad Nacional de Cuyo, Casilla de Correo 330, Mendoza, Argentina.
Adolfo CatapanoAgua y Saneamientos de Mendoza S. A., Mendoza, Argentina.
Héctor CuelloLaboratorio de Virología, Hospital Central de Mendoza, Argentina.
Gisela MasachessiInstituto de Virología "Dr. J. M. Vanella", Facultad de Ciencias Médicas, Universidad Nacional de Córdoba, Enfermera Gordillo Gómez s/n. Ciudad Universitaria, CP, 5000 Córdoba, Argentina.
Israel A VegaIHEM, Universidad Nacional de Cuyo, CONICET, Casilla de Correo 33, 5500 Mendoza, Argentina; Universidad Nacional de Cuyo, Facultad de Ciencias Médicas, Instituto de Fisiología, Casilla de Correo 33, 5500 Mendoza, Argentina; Universidad Nacional de Cuyo, Facultad de Ciencias Exactas y Naturales, Casilla de Correo 33, 5500 Mendoza, Argentina. Electronic address: ivega@mendoza-conicet.gob.ar.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) is an emerging tool that gives temporal and spatial information on a population's health status. Here, we report the epidemiological dynamics of a population of ~1.2 million residents in the metropolitan region of Mendoza province, Argentina, within the period July 2020 to January 2021. We combined the use of WBE of two wastewater treatment plants with epidemiological surveillance of the corresponding populations. We applied two viral concentration methods (polyethylene glycol precipitation and aluminum-based adsorption-flocculation) and RNA isolation methods in each wastewater sample to increase the possibility of detection and quantification of nucleocapsid markers (N1 and N2) of SARS-CoV-2 by RT-qPCR. Overall, our results allowed us to trace the rise, exponential growth, plateau, and fall of SARS-CoV-2 infections for 26 weeks. Individual analysis for each wastewater treatment plant showed a positive correlation between the viral load of SARS-CoV-2 genetic markers and COVID-19 cases that were diagnosed per week. Our findings indicate that WBE is a useful epidemiological indicator to anticipate the increase in COVID-19 cases and monitor the advance of the pandemic and different waves of infections.

Indexed as

COVID-19WastewaterArgentinaHumansRNA, ViralSARS-CoV-2RNA, ViralWastewaterCOVID-19Epidemiologic surveillancePandemicSARS-CoV-2Wastewater-based epidemiology

Identifiers

PMID34274669
PMCPMC8426053

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.