Evidence map›Paper›PMID 34905659›Full record

ReviewMicrobial biotechnology2022

Monitoring COVID-19 through SARS-CoV-2 quantification in wastewater: progress, challenges and prospects.

José Alhama, Juan P Maestre, M Ángeles Martín, Carmen Michán

Open access · goldAbstract readReview
In one paragraph

Review in Microbial biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 10% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

José AlhamaDepartment of Biochemistry and Molecular Biology, Universidad de Córdoba, Campus de Excelencia Internacional Agroalimentario CeiA3, Edificio Severo Ochoa, Córdoba, 14071, Spain.ORCID 0000-0002-3931-263X
Juan P MaestreDepartment of Civil, Architectural, and Environmental Engineering, The University of Texas at Austin, 301 E. Dean Keeton St., Stop C1786, Austin, TX, 78712, USA.
M Ángeles MartínDepartment of Inorganic Chemistry and Chemical Engineering, Area of Chemical Engineering, Universidad de Córdoba, Institute of Fine Chemistry and Nanochemistry (IUNAN), Campus de Excelencia Internacional Agroalimentario CeiA3, Edificio Marie Curie, Córdoba, 14071, Spain.
Carmen MichánDepartment of Biochemistry and Molecular Biology, Universidad de Córdoba, Campus de Excelencia Internacional Agroalimentario CeiA3, Edificio Severo Ochoa, Córdoba, 14071, Spain.ORCID 0000-0003-2921-0987
University of Córdoba · ESThe University of Texas at Austin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-Based Epidemiology (WBE) is widely used to monitor the progression of the current SARS-CoV-2 pandemic at local levels. In this review, we address the different approaches to the steps needed for this surveillance: sampling wastewaters (WWs), concentrating the virus from the samples and quantifying them by qPCR, focusing on the main limitations of the methodologies used. Factors that can influence SARS-CoV-2 monitoring in WWs include: (i) physical parameters as temperature that can hamper the detection in warm seasons and tropical regions, (ii) sampling methodologies and timetables, being composite samples and Moore swabs the less variable and more sensitive approaches, (iii) virus concentration methodologies that need to be feasible and practicable in simpler laboratories and (iv) detection methodologies that should tend to use faster and cost-effective procedures. The efficiency of WW treatments and the use of WWs for SARS-CoV-2 variants detection are also addressed. Furthermore, we discuss the need for the development of common standardized protocols, although these must be versatile enough to comprise variations among target communities. WBE screening of risk populations will allow for the prediction of future outbreaks, thus alerting authorities to implement early action measurements.

Indexed as

COVID-19SARS-CoV-2HumansWastewaterWastewater-Based Epidemiological MonitoringWastewater

Identifiers

PMID34905659
PMCPMC9151337
OpenAlexW4200362154

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.