Evidence map›Paper›PMID 41754548›Full record

SynthesisViruses2026

A Systematic Review of Methodological Approaches to SARS-CoV-2 Wastewater Surveillance.

György Deák, Laura Lupu, Raluca Prangate

Abstract readSystematic Review
In one paragraph

Synthesis in Viruses, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

3 authors.

György DeákNational Institute for Research and Development in Environmental Protection, Splaiul Independenţei 294, 060031 Bucharest, Romania.ORCID 0000-0002-4211-8504
Laura LupuNational Institute for Research and Development in Environmental Protection, Splaiul Independenţei 294, 060031 Bucharest, Romania.ORCID 0009-0005-1755-627X
Raluca PrangateNational Institute for Research and Development in Environmental Protection, Splaiul Independenţei 294, 060031 Bucharest, Romania.ORCID 0009-0009-0715-5025

Funding

This work was supported by the European Commission DG Environment [060701/2021/864662/SUB/ENV]. C2] Emergency Support under Council Regulation (EU) 2016/369 as amended by Council Regulation (EU) 2020/521 Support to Member States for the establishment of national systems, local collection points and digital infrastructure for the monitoring of COVID-19 and its variants in wastewater-Romania
6 · The paper itself

Abstract

Following the COVID-19 pandemic, researchers have increasingly focused on monitoring the spread of the virus and improving methods to detect changes in the SARS-CoV-2 genome. Although clinical surveillance provides direct and reliable results, it has limited applicability. Wastewater-based epidemiology (WBE) has therefore emerged as a valuable, non-invasive complementary tool for disease surveillance. It provides a comprehensive picture of virus circulation in a population, including asymptomatic individuals and those who do not seek healthcare. In addition, it facilitates early detection of outbreaks and the collection of epidemiologic data at the community level. However, WBE also presents technical challenges, including variations in sampling and testing protocols, the presence of inhibitors that affect viral RNA extraction, and the need for standardised procedures between studies. These challenges should be addressed for possible future infectious disease outbreaks. One of the challenges facing researchers was to develop efficient methods that could overcome the extraction and detection problems related to inhibitors present in wastewater. To this aim, this systematic review highlights the potential use of WBE, the variety of techniques, and the most effective methods for the detection and quantification of SARS-CoV-2 in wastewater samples. A reproducible electronic search of the literature was conducted in the Web of Science (WoS) and PubMed databases for articles published between 2020 and 2024. Our search revealed that the majority of observed WBE applications emphasised a correlation between SARS-CoV-2 RNA concentration trends in wastewater and epidemiological data. Another relevant issue that the articles often discussed and compared was the techniques used in different steps of sample processing, such as sample collection, concentration and detection, hence the lack of standardised procedures. This paper provides a framework regarding previous research on WBE to gain a better understanding that will lead to functional solutions.

Indexed as

COVID-19SARS-CoV-2WastewaterWastewater-Based Epidemiological MonitoringHumansRNA, ViralRNA, ViralWastewaterCOVID-19risk transmissionSARS-CoV-2surveillancewastewaterwastewater-based epidemiology

Identifiers

PMID41754548
PMCPMC12945004

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.