Publications by authors named "Kristina Tenney"

The Oregon Health Authority routinely investigates clusters of reportable enteric diseases identified by whole-genome sequencing. While investigating 2 cases of O157:H7 in 2019, in which both patients were exposed to the same home-processed "jerky" and clinical isolates matched within 2 single nucleotide polymorphisms (SNPs), we discovered, by searching the National Library of Medicine's National Center for Biotechnology Information website, 3 other cases of O157:H7 from 3 Oregon counties-Tillamook, Umatilla, and Douglas-whose clinical isolates were within 9 SNPs of the 2 initial matched cases. We analyzed interview data for 3 case patients and followed up with additional hypothesis-generating questions.

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Abstract: The SARS-CoV-2 pandemic has presented new challenges to food manufacturers. During the early phase of the pandemic, several large outbreaks of coronavirus disease 2019 (COVID-19) occurred in food manufacturing plants resulting in deaths and economic loss, with approximately 15% of personnel diagnosed as asymptomatic for COVID-19. Spread by asymptomatic and presymptomatic individuals has been implicated in large outbreaks of COVID-19.

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Background: Early and accurate detection of Listeria in foods is vital. Current methods require 24 h enrichment for detection.

Objective: This study aimed to demonstrate enhanced early detection of Listeria in mixed leafy greens using Sample6 DETECT™ HT/L, a phage-based detection system.

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Dairy products are common sources of outbreaks, and early detection of the pathogen is critical to prevent outbreaks of illnesses and financial losses for dairy producers. This study aimed to evaluate Sample6 Detect HT/L for effective detection of and in ice cream. Performance of the Sample6 DETECT HT/L was compared with U.

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contamination is a major concern in the ice cream industry; therefore, early and accurate detection is vital. Current detection methods require about a 24 h enrichment period for detection. Enhance the early detection of in ice cream using the highly sensitive isothermal ribosomal RNA-based Roka/Atlas Detection Assay.

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Three major outbreaks of salmonellosis linked to consumption of peanut butter during the last 6 years have underscored the need to investigate the potential sources of Salmonella contamination in the production process flow. We conducted a study to determine the prevalence and levels of Salmonella in raw peanuts. Composite samples (1,500 g, n = 8) of raw, shelled runner peanuts representing the crop years 2009, 2010, and 2011 were drawn from 10,162 retained 22-kg lot samples of raw peanuts that were negative for aflatoxin.

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