Evidence map›Paper›PMID 42154322›Full record

ReviewEnvironmental monitoring and assessment2026

Revealing the hidden burden: wastewater-based epidemiology for underreported and emerging infectious diseases in communities.

Justin C Greaves, Roberto A Rodriguez

Abstract readReview
In one paragraph

Review in Environmental monitoring and assessment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

2 authors.

Justin C GreavesDepartment of Environmental and Occupational Health, School of Public Health, Innovation Center, Indiana University, 2719 E 10 Street, Bloomington, IN, 47408, USA. jcgreave@iu.edu.
Roberto A RodriguezDepartment of Environmental and Occupational Health, School of Public Health, Innovation Center, Indiana University, 2719 E 10 Street, Bloomington, IN, 47408, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater-based epidemiology (WBE) has become a transformative tool for infectious disease surveillance, providing population-level insights that complement and extend traditional case-based reporting. This review examines the expanding role of WBE in identifying and characterizing underreported, novel, and emerging human pathogens. Evidence reveals that wastewater analysis consistently detects enteric, respiratory, and neglected pathogens that are often missed by clinical systems, thereby revealing the hidden burden of infection within communities. Sequencing-based studies have identified numerous novel and divergent human viruses, highlighting the extensive diversity of the human virome. The frequent co-detection of multiple viral taxa also suggests that interactions and co-infections may influence viral evolution, disease manifestation, and transmission. Despite methodological challenges in quantification and biological validation, WBE has proven capable of detecting both known and novel pathogens before they are clinically recognized. Future developments in long-read sequencing, bioinformatics, and global data integration will enhance the precision and scope of wastewater genomics, positioning it as a central element of early-warning and One Health surveillance frameworks. By illuminating the unseen spectrum of infectious agents, WBE bridges environmental and clinical domains, offering a scalable and equitable strategy for global pathogen discovery and public health preparedness.

Indexed as

Communicable Diseases, EmergingWastewaterWastewater-Based Epidemiological MonitoringEnvironmental MonitoringHumansWastewaterEmerging pathogensInfectious diseasesMetagenomicsUnderreportedWastewater-based epidemiologyWastewater surveillance

Identifiers

PMID42154322
PMCPMC13186825

What OpenQuestion holds

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LicenceCC BY
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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.