Evidence map›Paper›PMID 33190883›Full record

ReviewThe Science of the total environment2021

Wastewater surveillance for SARS-CoV-2: Lessons learnt from recent studies to define future applications.

Mohamed Hamouda, Farah Mustafa, Munjed Maraqa, Tahir Rizvi, Ashraf Aly Hassan

Erratum issuedAbstract readReview
In one paragraph

Review 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. An erratum has been issued. Cited by 60 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 1 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

60 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  15. Pathogen prioritisation for wastewater surveillance ahead of the Paris 2024 Olympic and Paralympic Games, France.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Mohamed HamoudaCivil and Environmental Engineering and the National Water Center, United Arab Emirates University, P.O. Box 15551, Al Ain, Abu Dhabi, United Arab Emirates. Electronic address: m.hamouda@uaeu.ac.ae.
Farah MustafaDepartment of Biochemistry, College of Medicine & Health Sciences, United Arab Emirates University, P.O. Box 17666, Al Ain, Abu Dhabi, United Arab Emirates. Electronic address: fmustafa@uaeu.ac.ae.
Munjed MaraqaCivil and Environmental Engineering and the National Water Center, United Arab Emirates University, P.O. Box 15551, Al Ain, Abu Dhabi, United Arab Emirates. Electronic address: m.maraqa@uaeu.ac.ae.
Tahir RizviDepartment of Microbiology & Immunology, College of Medicine & Health Sciences, United Arab Emirates University, P.O. Box 17666, Al Ain, Abu Dhabi, United Arab Emirates. Electronic address: tarizvi@uaeu.ac.ae.
Ashraf Aly HassanCivil and Environmental Engineering and the National Water Center, United Arab Emirates University, P.O. Box 15551, Al Ain, Abu Dhabi, United Arab Emirates; Civil and Environmental Engineering, University of Nebraska Lincoln, 900 N 16th St., Lincoln, NE 68588-0531, USA. Electronic address: alyhassan@uaeu.ac.ae.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) is successful in the detection of the spread of SARS-CoV-2. This review examines the methods used and results of recent studies on the quantification of SARS-CoV-2 in wastewater. WBE becomes essential, especially with virus transmission path uncertainty, limitations on the number of clinical tests that could be conducted, and a relatively long period for infected people to show symptoms. Wastewater surveillance was used to show the effect of lockdown on the virus spread. A WBE framework tailored for SARS-CoV-2 that incorporates lessons learnt from the reviewed studies was developed. Results of the review helped outline challenges facing the detection of SARS-CoV-2 in wastewater samples. A comparison between the various studies with regards to sample concentration and virus quantification was conducted. Five different primers sets were used for qPCR quantification; however, due to limited data availability, there is no consensus on the most sensitive primer. Correlating the slope of the relationship between the number of gene copies vs. the cumulative number of infections normalized to the total population served with the average new cases, suggests that qPCR results could help estimating the number of new infections. The correlation is improved when a lag period was introduced to account for asymptomatic infections. Based on lessons learnt from recent studies, it is recommended that future applications should consider the following: 1) ensuring occupational safety in managing sewage collection and processing, 2) evaluating the effectiveness of greywater disinfection, 3) measuring viral RNA decay due to biological and chemical activities during collection and treatment, 4) assessing the effectiveness of digital PCR, and 5) conducting large scale international studies that follow standardized protocols.

Indexed as

COVID-19SARS-CoV-2Communicable Disease ControlHumansSewageWastewaterSewageWastewaterCOVID-19SARS-CoV-2Virus concentrationWastewater-based epidemiologyWastewater virus surveillance

Identifiers

PMID33190883
PMCPMC7648500

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.