Evidence map›Paper›PMID 36014966›Full record

ArticlePathogens (Basel, Switzerland)2022

A Methodological Approach to Water Concentration to Investigate the Presence of SARS-CoV-2 RNA in Surface Freshwaters.

Marina Tesauro, Mara Terraneo, Michela Consonni, Clara Fappani, Daniela Colzani, Caterina Stevanin, Antonella Amendola, Daniele Masseroni, Elisabetta Tanzi

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Marina TesauroDepartment of Biomedical, Surgical and Dental Sciences, University of Milan, Via Carlo Pascal 36, 20133 Milan, Italy.ORCID 0000-0001-5542-5119
Mara TerraneoDepartment of Health Sciences, University of Milan, Via Carlo Pascal 36, 20133 Milan, Italy.
Michela ConsonniDepartment of Biomedical, Surgical and Dental Sciences, University of Milan, Via Carlo Pascal 36, 20133 Milan, Italy.
Clara FappaniDepartment of Health Sciences, University of Milan, Via Carlo Pascal 36, 20133 Milan, Italy.ORCID 0000-0002-1573-5531
Daniela ColzaniDepartment of Health Sciences, University of Milan, Via Carlo Pascal 36, 20133 Milan, Italy.
Caterina StevaninDepartment of Health Sciences, University of Milan, Via Carlo Pascal 36, 20133 Milan, Italy.
Antonella AmendolaCoordinated Research Center "EpiSoMI", University of Milan, Via Carlo Pascal 36, 20133 Milan, Italy.ORCID 0000-0002-0499-8977
Daniele MasseroniDepartment of Agricultural and Environmental Sciences-Production, Landscape, Agroenergy, University of Milan, Via Celoria 2, 20133 Milan, Italy.
Elisabetta TanziCoordinated Research Center "EpiSoMI", University of Milan, Via Carlo Pascal 36, 20133 Milan, Italy.ORCID 0000-0002-4119-701X

Funding

Fondazione Cariplo 2020-4343
6 · The paper itself

Abstract

During the COVID-19 public health emergency, an increasing number of studies reported the occurrence of SARS-CoV-2 in wastewaters worldwide, but little is known about the presence of the virus in surface freshwaters. The aim of the current study was to develop and validate an appropriate and scalable methodological approach for the concentration and detection of SARS-CoV-2 from surface freshwater samples, collected within the Milan rural network subjected to flood spillways activity. Overall, both surface water and distilled water samples spiked with inactivated SARS-CoV-2 were used to validate the concentration method for pathogens determination. Two pre-filtration systems, filter paper and Sartolab

Indexed as

flood spillwaysSARS-CoV-2surface freshwater

Identifiers

PMID36014966
PMCPMC9415985

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.