Evidence map›Paper›PMID 42100764›Full record

ArticleInternational journal of food science2026

Microbial Quality Assessment of Farmers' Market Food Products in Central Virginia During the COVID-19 Pandemic.

Chyer Kim, Abeer Abujamous, Daria Clinkscales, Allissa Riley, Salina Parveen, Junglim Lee, Eunice Ndegwa, Theresa Nartea

Abstract read
In one paragraph

Article in International journal of food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Chyer KimAgricultural Research Station, Virginia State University, Petersburg, Virginia, USA, tnau.ac.in.ORCID https://orcid.org/0000-0002-7481-6120
Abeer AbujamousAgricultural Research Station, Virginia State University, Petersburg, Virginia, USA, tnau.ac.in.
Daria ClinkscalesDepartment of Nutrition and Food Sciences, University of Vermont, Burlington, Vermont, USA, uvm.edu.
Allissa RileyDepartment of Agriculture, Food and Resource Sciences, University of Maryland Eastern Shore, Princess Anne, Maryland, USA, umes.edu.
Salina ParveenDepartment of Agriculture, Food and Resource Sciences, University of Maryland Eastern Shore, Princess Anne, Maryland, USA, umes.edu.ORCID https://orcid.org/0000-0002-1917-3847
Junglim LeeDepartment of Human Ecology, Delaware State University, Dover, Delaware, USA, desu.edu.ORCID https://orcid.org/0000-0003-1980-7130
Eunice NdegwaAgricultural Research Station, Virginia State University, Petersburg, Virginia, USA, tnau.ac.in.
Theresa NarteaVirginia Cooperative Extension, Virginia State University, Petersburg, Virginia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the positive correlation between the rise in farmers' markets and foodborne illness cases, it is crucial to assess the impact of personal protective equipment (PPE) use during the COVID-19 pandemic on food microbial quality. This study is aimed at determining the prevalence and antimicrobial resistance (AMR) profiles of potential foodborne pathogens in a diverse range of food products obtained from farmers' markets in Central Virginia during the COVID-19 pandemic. A total of 740 food samples, comprising eight fresh produce types and four animal-derived products, were randomly collected in duplicate from 15 registered farmers' markets in Central Virginia (within a 50-km radius of Virginia State University) between August 2020 and December 2021. The samples represented products from 76 farm operations.

Indexed as

AMRCampylobacterE. colifarmers′ marketfood commoditiesListeriaSalmonella

Identifiers

PMID42100764
PMCPMC13147353

What OpenQuestion holds

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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.