Evidence map›Paper›PMID 23144137›Full record

ArticleApplied and environmental microbiology2013

Landscape and meteorological factors affecting prevalence of three food-borne pathogens in fruit and vegetable farms.

Laura K Strawn, Esther D Fortes, Elizabeth A Bihn, Kendra K Nightingale, Yrjö T Gröhn, Randy W Worobo, Martin Wiedmann, Peter W Bergholz

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 1 pooled it
–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

94 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Are we overestimating risk of enteric pathogen spillover from wild birds to humans?Biological reviews of the Cambridge Philosophical Society · 2020
    Pooled it
  2. Survival ofFoods (Basel, Switzerland) · 2026
    Article
  3. Review
  4. Microorganisms · 2025
    Review
  5. A two-year study ofApplied and environmental microbiology · 2025
    Article
  6. Review
  7. Article
  8. Hybrid assembled genomes of threeMicrobiology resource announcements · 2025
    Article
  9. A Quantitative Risk Assessment Model forFoods (Basel, Switzerland) · 2025
    Article
  10. Applied and environmental microbiology · 2025
    Article
  11. Article
  12. Prevalence of Shiga-ToxigenicMicroorganisms · 2025
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Prevalence of STEC virulence markers andFrontiers in microbiology · 2024
    Article
  20. Transfer of genericHeliyon · 2023
    Article

34 more citing papers are in PubMed but not listed here.

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

8 authors.

Laura K StrawnDepartment of Food Science, Cornell University, Ithaca, New York, USA.
Esther D Fortes
Elizabeth A Bihn
Kendra K Nightingale
Yrjö T Gröhn
Randy W Worobo
Martin Wiedmann
Peter W Bergholz

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Produce-related outbreaks have been traced back to the preharvest environment. A longitudinal study was conducted on five farms in New York State to characterize the prevalence, persistence, and diversity of food-borne pathogens in fresh produce fields and to determine landscape and meteorological factors that predict their presence. Produce fields were sampled four times per year for 2 years. A total of 588 samples were analyzed for Listeria monocytogenes, Salmonella, and Shiga toxin-producing Escherichia coli (STEC). The prevalence measures of L. monocytogenes, Salmonella, and STEC were 15.0, 4.6, and 2.7%, respectively. L. monocytogenes and Salmonella were detected more frequently in water samples, while STEC was detected with equal frequency across all sample types (soil, water, feces, and drag swabs). L. monocytogenes sigB gene allelic types 57, 58, and 61 and Salmonella enterica serovar Cerro were repeatedly isolated from water samples. Soil available water storage (AWS), temperature, and proximity to three land cover classes (water, roads and urban development, and pasture/hay grass) influenced the likelihood of detecting L. monocytogenes. Drainage class, AWS, and precipitation were identified as important factors in Salmonella detection. This information was used in a geographic information system framework to hypothesize locations of environmental reservoirs where the prevalence of food-borne pathogens may be elevated. The map indicated that not all croplands are equally likely to contain environmental reservoirs of L. monocytogenes. These findings advance recommendations to minimize the risk of preharvest contamination by enhancing models of the environmental constraints on the survival and persistence of food-borne pathogens in fields.

Indexed as

FruitGeographyListeria monocytogenesMeteorological ConceptsNew YorkPrevalenceSalmonella entericaShiga-Toxigenic Escherichia coliVegetables

Identifiers

PMID23144137
PMCPMC3553790

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.