Evidence map›Paper›PMID 42480166›Full record

ArticleJournal of microbiological methods2026

A pathogenic agnostic water processing method using large-volume dead-end ultrafiltration: A multi-laboratory performance study.

Amy Kahler, Alexis Roundtree, Sydney Comet, Sarah Wright, Julianne Nassif, Agata Figurniak, Ashley Luntsford, George Churchwell, Marissa Hayes, Cassidy VanWarmerdam and 6 more

Abstract read
In one paragraph

Article in Journal of microbiological methods, 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

16 authors.

Amy KahlerCenters for Disease Control and Prevention, National Center for Emerging and Zoonotic Infectious Diseases, Waterborne Disease Prevention Branch, Atlanta, GA, USA.
Alexis RoundtreeChenega Enterprise Systems & Solutions, LLC, Chesapeake, VA, USA.
Sydney CometAssociation of Public Health Laboratories, Environmental Health Program, Bethesda, MD, USA.
Sarah WrightAssociation of Public Health Laboratories, Environmental Health Program, Bethesda, MD, USA.
Julianne NassifAssociation of Public Health Laboratories, Environmental Health Program, Bethesda, MD, USA.
Agata FigurniakColorado Department of Public Health and Environment, Colorado State Public Health Laboratory, Denver, CO, USA.
Ashley LuntsfordColorado Department of Public Health and Environment, Colorado State Public Health Laboratory, Denver, CO, USA.
George ChurchwellFlorida Department of Health, Bureau of Public Health Laboratories, Jacksonville, FL, USA.
Marissa HayesFlorida Department of Health, Bureau of Public Health Laboratories, Jacksonville, FL, USA.
Cassidy VanWarmerdamIdaho Department of Health and Welfare, Idaho Bureau of Laboratories, Boise, ID, USA.
Robert VoermansIdaho Department of Health and Welfare, Idaho Bureau of Laboratories, Boise, ID, USA.
Brigid C BollwegMinnesota Department of Health, Public Health Laboratory, St. Paul, MN, USA.
Haley ErsfeldMinnesota Department of Health, Public Health Laboratory, St. Paul, MN, USA.
Destiny HairfieldVirginia Department of General Services, Division of Consolidated Laboratory Sciences, Richmond, VA, USA.
W Roxanne SherrickVirginia Department of General Services, Division of Consolidated Laboratory Sciences, Richmond, VA, USA.
Mia MattioliCenters for Disease Control and Prevention, National Center for Emerging and Zoonotic Infectious Diseases, Waterborne Disease Prevention Branch, Atlanta, GA, USA. Electronic address: mmattioli@cdc.gov.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Treated water systems are critical infrastructures for public health, but can be vulnerable to contamination, whether intentional or accidental. The ability to detect water-transmitted pathogens and biological agents in potable water is critical to effectively respond to and remediate a contamination event or waterborne outbreak. The Protocol for the Recovery and Concentration of Biological Agents in Water samples, or water processing protocol (WPP), was developed for use during such events. The WPP can be used on either 100-L of water concentrated by ultrafilters in the field or unconcentrated 1-L grab samples. The WPP is pathogen agnostic, as is comprised of two workflows that use size selection to capture and concentrate biological agents from parasites down to toxins. A single-laboratory evaluation was conducted by CDC, followed by a multi-laboratory validation (MLV) study with five state public health laboratories. Prior to the MLV, state laboratory participants received in-person training which was followed by training exercises performed in their laboratories. WPP performance was assessed by percent recovery using REXEED-25S ultrafiltered tap water samples seeded with B. anthracis and MS2 coliphage. A bridging study also evaluated different ultrafilter manufacturers for a robust supply chain during an emergency response. The WPP demonstrated ∼50% recovery efficiency for both targets across all filters. During the bridging study, ELISIO-25H performed slightly better for B. anthracis recovery and participants reported a better user experience with ELISIO-25H compared to Xevonta Hi 23 filters. The WPP serves as an essential method for public health readiness to adequately respond to and remediate water system contamination events and waterborne outbreaks.

Indexed as

Drinking WaterWater MicrobiologyWater PurificationHumansLaboratoriesUltrafiltrationUnited StatesDrinking WaterBiological agent detectionMulti-laboratory validationPathogen agnosticUltrafiltrationWater microbial quality

Identifiers

PMID42480166
PMCPMC13537417

What OpenQuestion holds

Textmetadata
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.