Evidence map›Paper›PMID 41764390›Full record

ArticleJournal of water and health2026

Large-volume sampling for improved characterization of microbial contamination in agricultural waters: a case study from southeastern U.S. produce farms.

Amy Kahler, Mia Mattioli, Moukaram Tertuliano, Morgan Schroeder, Peyton Smith, Devon Stoneburg, Nancy Strockbine, Courtney Wheeler, George Vellidis, Karen Levy and 1 more

Abstract read
In one paragraph

Article in Journal of water and 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
–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

11 authors.

Amy KahlerCenters for Disease Control and Prevention (CDC), Division of Foodborne, Waterborne, and Environmental Diseases, Atlanta, GA 30329, USA E-mail: akahler@cdc.gov.ORCID https://orcid.org/0000-0003-0827-3655
Mia MattioliCenters for Disease Control and Prevention (CDC), Division of Foodborne, Waterborne, and Environmental Diseases, Atlanta, GA 30329, USA.ORCID https://orcid.org/0000-0002-7318-5240
Moukaram TertulianoDepartment of Crop and Soil Sciences, University of Georgia, 2360 Rainwater Road, Tifton, GA 31793, USA.
Morgan SchroederCenters for Disease Control and Prevention (CDC), Division of Foodborne, Waterborne, and Environmental Diseases, Atlanta, GA 30329, USA.
Peyton SmithCenters for Disease Control and Prevention (CDC), Division of Foodborne, Waterborne, and Environmental Diseases, Atlanta, GA 30329, USA.
Devon StoneburgCenters for Disease Control and Prevention (CDC), Division of Foodborne, Waterborne, and Environmental Diseases, Atlanta, GA 30329, USA.
Nancy StrockbineCenters for Disease Control and Prevention (CDC), Division of Foodborne, Waterborne, and Environmental Diseases, Atlanta, GA 30329, USA.
Courtney WheelerCenters for Disease Control and Prevention (CDC), Division of Foodborne, Waterborne, and Environmental Diseases, Atlanta, GA 30329, USA.
George VellidisDepartment of Crop and Soil Sciences, University of Georgia, 2360 Rainwater Road, Tifton, GA 31793, USA.
Karen LevyGangarosa Department of Environmental Health, Emory University, 1518 Clifton Rd, NE, Claudia Nance Rollins Building, Room 2019, Atlanta, GA 30322, USA.
Vince HillCenters for Disease Control and Prevention (CDC), Division of Foodborne, Waterborne, and Environmental Diseases, Atlanta, GA 30329, USA.

Funding

California Department of Food and Agriculture CDFA SCBGP grant SBC14060Center for Produce Safety CDFA SCBGP grant SBC14060Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Fresh produce growers in the United States are required to conduct agricultural water assessments to help mitigate the risks associated with potentially contaminated irrigation water. Microbial water quality is typically assessed using the fecal indicator bacteria,

Indexed as

Agricultural IrrigationEnvironmental MonitoringWater MicrobiologyAgricultureEscherichia coliFarmsFecesGeorgiaSalmonellaSoutheastern United StatesUltrafiltrationagricultural water assessmentdead-end ultrafiltrationgrab samplingirrigation waterproduce safety

Identifiers

PMID41764390
PMCPMC12952685

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.