Evidence map›Paper›PMID 42440756›Full record

ArticleFrontiers in public health2026

Wastewater-based epidemiology for public health - benefits and trade-offs of different molecular methods for the generation of actionable data in a small-town context.

Ivana Kraiselburd, Ruzica Susenburger-Lange, Miriam Balzer, Simon Magin, Katharina Block, Leah Consten, Adrian Dörr, Ann-Kathrin Dörr, Jule Gosch, Shivohum Nishad and 8 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. 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
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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

18 authors.

Ivana KraiselburdInstitute for AI in Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Ruzica Susenburger-LangeGesundheitsamt Mettmann, Mettmann, Germany.
Miriam BalzerInstitute for AI in Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Simon MaginInstitute for AI in Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Katharina BlockInstitute for AI in Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Leah ConstenInstitute for AI in Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Adrian DörrInstitute for AI in Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Ann-Kathrin DörrInstitute for AI in Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Jule GoschInstitute for AI in Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Shivohum NishadInstitute for AI in Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Sven SachseInstitute for AI in Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Alexander ThomasInstitute for AI in Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Alexander TriebsGesundheitsamt Mettmann, Mettmann, Germany.
Josefa WellingInstitute for AI in Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Alexander WilhelmInstitute for Medical Virology, University Hospital, Goethe University Frankfurt, Frankfurt am Main, Germany.
Marek WideraInstitute for Medical Virology, University Hospital, Goethe University Frankfurt, Frankfurt am Main, Germany.
Ricarda SchmithausenInstitute for AI in Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Folker MeyerInstitute for AI in Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Wastewater-based epidemiology (WBE) is a promising complement to traditional surveillance systems, yet its practical utility and performance in real-world public health settings remain insufficiently characterized. This study aims to evaluate the feasibility and added value of WBE for monitoring infectious disease dynamics at the regional level, with a particular focus on jointly identifying, together with public health authorities, actionable and scalable methodological strategies based on cost, applicability, and the relevance and timeliness of the information generated. Methods: Composite influent wastewater samples were collected over 6 weeks from a treatment plant serving a defined district in western Germany. Samples were analyzed using quantitative PCR and both targeted and shotgun metagenomic sequencing. WBE findings were compared with routine case-based surveillance data from the corresponding catchment area. Results: All pathogens reported through routine public health surveillance during the study period were also detected in wastewater. In addition, WBE identified signals from clinically relevant pathogens not captured by case-based surveillance. Sequencing approaches provided further resolution on pathogen diversity and resistance profiles. The combined use of targeted and untargeted methods revealed differences in sensitivity and resolution, with complementary strengths across approaches, and enabled the definition of a practical, tiered approach to support actionable surveillance at the regional level. Conclusion: This study describes the operational integration of WBE into a regional public health workflow, providing timely, population-level data that complements routine surveillance and can reveal pathogen circulation not captured by reported cases. Building on the established advantages of WBE, our results highlight its practical value when jointly implemented with public health authorities, enabling context-specific, actionable insights that enhance situational awareness, guide targeted local responses and support earlier detection of emerging threats.

Indexed as

Public HealthWastewaterWastewater-Based Epidemiological MonitoringGermanyHumansMetagenomicsWastewaterantimicrobial resistance genesinfectious diseasesmetagenomicsone healthpublic health

Identifiers

PMID42440756
PMCPMC13333637

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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.