Evidence map›Paper›PMID 42682696›Full record

ArticleFrontiers in microbiology2026

Long-term wastewater surveillance of SARS-CoV-2: a 5.5-year study reveals correlation with public health indicators and early warning potential during and after the pandemic.

Mahé Liabeuf, Mylène Toubiana, Charlotte Arnal, Emmanuel Soyeux, Vincent Foulongne, Patricia Licznar-Fajardo, Olivier Courot, Patrick Monfort, Estelle Jumas-Bilak

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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.

Mahé LiabeufHSM, Univ Montpellier, CNRS, IRD, Montpellier, France.
Mylène ToubianaHSM, Univ Montpellier, CNRS, IRD, Montpellier, France.
Charlotte ArnalVeolia Scientific & Technological Expertise Department, Aubervilliers, France.
Emmanuel SoyeuxVeolia Scientific & Technological Expertise Department, Aubervilliers, France.
Vincent FoulongnePCCEI, Univ Montpellier, CNRS, IRD, Montpellier, France.
Patricia Licznar-FajardoHSM, Univ Montpellier, CNRS, IRD, Montpellier, France.
Olivier CourotIAGE, Montpellier, France.
Patrick MonfortHSM, Univ Montpellier, CNRS, IRD, Montpellier, France.
Estelle Jumas-BilakHSM, Univ Montpellier, CNRS, IRD, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: While wastewater surveillance (WS) is a validated tool for SARS-CoV-2 monitoring, its long-term reliability and forecasting accuracy remain debated. This study, spanning a 65-month period (5.5 years), evaluates the dynamics of SARS-CoV-2 in municipal wastewater across multiple epidemiological shifts, including vaccination rollouts, variant emergence, and change in testing policies. Materials and methods: Inlet wastewater from a large metropolitan area in southern France (450,000 inhabitants) was monitored weekly or twice weekly. SARS-CoV-2 RNA (IP4 target) was quantified by Reverse Transcription digital PCR (RT-dPCR) in 345 samples and compared to 15 regional public health indicators (virological, hospital-based, and syndromic) using Spearman correlation coefficients ( Results: Overall, the SARS-CoV-2 RNA load in wastewater was consistently correlated with specific virological indicators such as incidence rate, and non-specific syndromic indicator such as emergency procedures. WS of SARS-CoV-2 RNA demonstrated significant early warning capabilities, preceding hospital admissions by 8 to 12 days and mortality by up to 30 days during the pandemic phase. However, the strength of the correlations and the early warning capacity varied across epidemiological phases, the outbreak wave, the variants circulating and the population's vaccination rate. Crucially, in the post-pandemic period, WS remained a robust proxy and could provide arguments about the virus causing an increase in syndromic indicators. Conclusion: This 5.5-year longitudinal study provides one of the most comprehensive datasets of SARS-CoV-2 environmental dynamics. It advocates for the permanent implementation of WS to monitor respiratory and emerging infectious threats in a post-pandemic world.

Indexed as

COVID-19endemicitylong-term19 surveillancepandemicspublic-health indicatorsRT-dPCRSARS-CoV-2wastewater-based epidemiology

Identifiers

PMID42682696
PMCPMC13529775

What OpenQuestion holds

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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.