Evidence map›Paper›PMID 30334659›Full record

ArticleFoodborne pathogens and disease2018

Evaluation of Grower-Friendly, Science-Based Sampling Approaches for the Detection of Salmonella in Ponds Used for Irrigation of Fresh Produce.

Debbie Lee, Moukaram Tertuliano, George Vellidis, Casey Harris, Marissa K Grossman, Sreekumari Rajeev, Karen Levy

Abstract read
In one paragraph

Article in Foodborne pathogens and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review of Methods Suitable for Environmental Surveillance of Salmonella Typhi and Paratyphi.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2020
    Review
  6. Article
  7. Article
  8. 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

7 authors.

Debbie Lee1 Department of Environmental Health, Rollins School of Public Health, Emory University , Atlanta, Georgia .
Moukaram Tertuliano2 Department of Crop and Soil Sciences, University of Georgia , Tifton, Georgia .
George Vellidis2 Department of Crop and Soil Sciences, University of Georgia , Tifton, Georgia .
Casey Harris2 Department of Crop and Soil Sciences, University of Georgia , Tifton, Georgia .
Marissa K Grossman3 Program in Population Biology, Ecology, and Evolution, Emory University , Atlanta, Georgia .
Sreekumari Rajeev4 Department of Infectious Diseases, College of Veterinary Medicine , Veterinary Diagnostic and Investigational Laboratory, Tifton, Georgia .
Karen Levy1 Department of Environmental Health, Rollins School of Public Health, Emory University , Atlanta, Georgia .

Funding

Impacts of Human Movement on Regional Strain Distribution of Diarrheagenic E.coliK01AI103544 · NIAID · EMORY UNIVERSITY · PI LEVY, KAREN · 2013 to 2017
$655k
NIAID NIH HHS K01 AI103544
6 · The paper itself

Abstract

The recognition that irrigation water sources contribute to preharvest contamination of produce has led to new regulations on testing microbial water quality. To best identify contamination problems, growers who depend on irrigation ponds need guidance on how and where to collect water samples for testing. In this study, we evaluated several sampling strategies to identify Salmonella and Escherichia coli contamination in five ponds used for irrigation on produce farms in southern Georgia. Both Salmonella and E. coli were detected regularly in all the ponds over the 19-month study period, with overall prevalence and concentrations increasing in late summer and early fall. Of 507 water samples, 217 (42.8%) were positive for Salmonella, with a very low geometric mean (GM) concentration of 0.06 most probable number (MPN)/100 mL, and 442 (87.1%) tested positive for E. coli, with a GM of 6.40 MPN/100 mL. We found no significant differences in Salmonella or E. coli detection rates or concentrations between sampling at the bank closest to the pump intake versus sampling from the bank around the pond perimeter, when comparing with results from the pump intake, which we considered our gold standard. However, samples collected from the bank closest to the intake had a greater level of agreement with the intake (Cohen's kappa statistic = 0.53; p < 0.001) than the samples collected around the pond perimeter (kappa = 0.34; p = 0.009). E. coli concentrations were associated with increased odds of Salmonella detection (odds ratio = 1.31; 95% confidence interval = 1.10-1.56). All the ponds would have met the Produce Safety Rule standards for E. coli, although Salmonella was also detected. Results from this study provide important information to growers and regulators about pathogen detection in irrigation ponds and inform best practices for surface water sampling.

Indexed as

Agricultural IrrigationWater MicrobiologyCrops, AgriculturalEscherichia coliFarmsFood SafetyGeorgiaGroundwaterLogistic ModelsPondsSalmonellaSample SizeSeasonsSpatio-Temporal AnalysisWater QualityagricultureE. coliFood Safety Modernization Actirrigationon-farm food safetySalmonella

Identifiers

PMID30334659
PMCPMC6201782

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Registered trials

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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.