Wastewater Surveillance of Aichi Virus in Baltimore.

Daniel A Nwaubani, Rakshya Baral, Tamunobelema Solomon, Mustafa Ali, Tania Moharrery, Samendra P Sherchan

Abstract read

In one paragraph

Article in Pathogens (Basel, Switzerland), 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

–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

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

6 authors.

Daniel A NwaubaniCenter of Research Excellence in Wastewater Based Epidemiology, Morgan State University, Baltimore, MD 21251, USA.

Rakshya BaralCenter of Research Excellence in Wastewater Based Epidemiology, Morgan State University, Baltimore, MD 21251, USA.ORCID 0000-0001-7499-5109

Tamunobelema SolomonCenter of Research Excellence in Wastewater Based Epidemiology, Morgan State University, Baltimore, MD 21251, USA.

Mustafa AliCenter of Research Excellence in Wastewater Based Epidemiology, Morgan State University, Baltimore, MD 21251, USA.

Tania MoharreryCenter of Research Excellence in Wastewater Based Epidemiology, Morgan State University, Baltimore, MD 21251, USA.

Samendra P SherchanCenter of Research Excellence in Wastewater Based Epidemiology, Morgan State University, Baltimore, MD 21251, USA.

Funding

Wastewater surveillance for addressing environmental health disparitiesU54MD013376 · NIMHD · MORGAN STATE UNIVERSITY · PI Timothy J Meeker · 2019 to 2026

$33.5M

EPA R840257NIMHD NIH HHS U54 MD013376

6 · The paper itself

Abstract

This study established long-term wastewater surveillance of Aichi virus (AiV) in Maryland. AiV, a member of the Kobuvirus genus associated with acute gastroenteritis, has established itself as an integral marker for wastewater-based monitoring; however, two key research questions remain unaddressed for the Baltimore metropolitan area: (1) whether AiV is consistently detectable in municipal wastewater throughout the year, and (2) whether its concentrations exhibit a measurable seasonal pattern. To address these hypotheses, influent samples were collected on a weekly basis from WWTP-A and WWTP-B from January to December 2023 (with grab sampling conducted at WWTP-A and automated collection deployed for the influent sampling of the water treatment plant B). All samples (

Indexed as

KobuvirusPicornaviridae InfectionsWastewaterBaltimoreEnvironmental MonitoringHumansRNA, ViralSeasonsRNA, ViralWastewaterAichi virusBaltimoreenteric virusesfecal contamination indicatorsphysicochemical parametersRT-qPCRwastewater-based epidemiology

Identifiers

PMID42515055

DOI10.3390/pathogens15070728

PMCPMC13414499

What OpenQuestion 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 OpenQuestion graph.