Evidence map›Paper›PMID 42867784›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2027

From Sewers to Surveillance: Monitoring Salmonella Through Wastewater.

Katrin Gaardbo Kuhn, Kristen Shelton, Bijay Rimal, Bradley Stevenson

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2027. 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

4 authors.

Katrin Gaardbo KuhnDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences, Oklahoma City, OK, USA. Katrin.Kuhn@utsa.edu.
Kristen SheltonDepartment of Civil Engineering and Environmental Science, University of Oklahoma, Norman, OK, USA.
Bijay RimalDepartment of Biostatistics and Epidemiology, University of Oklahoma Health Sciences, Oklahoma City, OK, USA.
Bradley StevensonDepartment of Earth and Planetary Sciences, Northwestern University, Evanston, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wastewater surveillance (WWS) is a powerful, population-level approach to infectious disease monitoring that complements traditional clinical surveillance, which often under-detects asymptomatic or unreported cases. This study presents validated methods for Salmonella detection in wastewater, including sample concentration using PEG precipitation, nucleic acid extraction with magnetic beads, and quantitative PCR targeting. When WWS for Salmonella was implemented across Oklahoma from 2021 to 2022, results showed seasonal patterns in transmission, provided a 1-week lead time over clinical case reporting, and identified outbreak activity not captured through passive surveillance. Although challenges remain, such as low pathogen levels and limited serovar resolution, WWS demonstrates strong potential for early warning, outbreak detection, and improved understanding of Salmonella dynamics when integrated with traditional public health systems.

Indexed as

SalmonellaSalmonella InfectionsWastewaterDisease OutbreaksHumansOklahomaWastewaterCase reportingEarly warningEpidemiologyOutbreaksPublic healthqPCRSalmonellaWastewater surveillance

Identifiers

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.