An outbreak of Salmonella Newport associated with mung bean sprouts in Germany and the Netherlands, October to November 2011

Bayer, Christophe; Bernard, Helen; Prager, Rita; Rabsch, Wolfgang; Hiller, Petra; Malorny, Burkhard; Pfefferkorn, Beatrice; Frank, Christina; Jong, A. de; Friesema, Ingrid; Stark, Klaus; Rosner, Bettina

doi:10.2807/1560-7917.es2014.19.1.20665

Cited by 45 publications

(50 citation statements)

References 22 publications

(27 reference statements)

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“…The growth of a five serovar Salmonella cocktail was also evaluated in the selected enrichment broths in consideration of serovar variation. The cocktail included serovars that have been reported in outbreaks occurring over the past 10 years (Bayer et al, 2014;CDC, 2007;CDC, 2009;CDC, 2011;FDA, 2014c). S. Saintpaul and S. Newport had been identified as causative agents in two sproutrelated outbreaks (Bayer et al, 2014;CDC, 2009).…”

Section: Discussionmentioning

confidence: 99%

“…In 2009, 235 persons from 14 states in the United States (US) were infected with S. Saintpaul after consuming contaminated alfalfa sprouts (CDC, 2009). In 2011, an international outbreak of 106 clinical cases of S. Newport infections due to mung bean sprouts consumption was reported in Germany along with 20 confirmed illnesses in the Netherlands (Bayer et al, 2014). More recently, 111 people from 12 states in US were infected by an outbreak of S. Enteritidis linked to mung bean sprouts (FDA, 2014a).…”

Section: Introductionmentioning

confidence: 98%

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Growth of healthy and sanitizer-injured Salmonella cells on mung bean sprouts in different commercial enrichment broths

et al. 2015

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Growth of healthy and sanitizer-injured Salmonella cells on mung bean sprouts in different commercial enrichment broths

et al. 2015

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“…The four last alarms correspond to a known outbreak in 2011 due to sprouts (Bayer et al 2014). One sees that the upperbound right after the outbreak is affected by the outbreak: it is very high, so that a smaller outbreak would not be detected.…”

Section: Example With the Ears C1 Methodsmentioning

confidence: 99%

Monitoring Count Time Series inR: Aberration Detection in Public Health Surveillance

Salmon¹,

Schumacher²,

Höhle³

2016

J. Stat. Soft.

116

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Public health surveillance aims at lessening disease burden by, e.g., timely recognizing emerging outbreaks in case of infectious diseases. Seen from a statistical perspective, this implies the use of appropriate methods for monitoring time series of aggregated case reports. This paper presents the tools for such automatic aberration detection offered by the R package surveillance. We introduce the functionalities for the visualization, modeling and monitoring of surveillance time series. With respect to modeling we focus on univariate time series modeling based on generalized linear models (GLMs), multivariate GLMs, generalized additive models and generalized additive models for location, shape and scale. Applications of such modeling include illustrating implementational improvements and extensions of the well-known Farrington algorithm, e.g., by spline-modeling or by treating it in a Bayesian context. Furthermore, we look at categorical time series and address overdispersion using beta-binomial or Dirichlet-multinomial modeling. With respect to monitoring we consider detectors based on either a Shewhart-like single timepoint comparison between the observed count and the predictive distribution or by likelihoodratio based cumulative sum methods. Finally, we illustrate how surveillance can support aberration detection in practice by integrating it into the monitoring workflow of a public health institution. Altogether, the present article shows how well surveillance can support automatic aberration detection in a public health surveillance context.

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“…In the United Sates, Salmonella outbreaks are most commonly associated with uncooked/under cooked poultry (30%), pork (8%), beef (8%), eggs (24%), fish (2%), dairy (5%) [11]. The consumption of contaminated fresh vegetables and fruits, such as alfalfa sprouts, tomatoes, lettuce, spinach, melons, and cantaloupes is also an important source of Salmonella infections [9,12,13]. In addition, Salmonella has been isolated from a variety of dried food or processed products such as peanut butter, whole egg powder, cereals, herbs, chocolates, almonds, pecans, soy bean meal, spices and dried mushrooms [14].…”

Section: Introductionmentioning

confidence: 99%

Recent and the Latest Developments in Rapid and Efficient Detection of Salmonella in Food and Water

Hu¹,

Li²

2017

Adv Tech Biol Med

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Salmonella is a leading cause of foodborne diseases. Gastroenteritis caused by nontyphoid Salmonella is still a major infectious disease in the world. About 95% of Salmonella infections are caused by ingestion of contaminated food and water. Rapid, sensitive, and efficient detection and identification of Salmonella from foods and water are critical for minimizing the spread of outbreaks caused by this pathogen. These methods can be applied to track the food source of contamination or by early diagnosis of the infections in a clinical setting. Culture-based methods for detection of Salmonella are laborious and time-consuming, typically taking 5-7 days to obtain a pure culture and serovar identification. In the past few decades, molecular-based technologies have greatly shortened the time for detection and identification of bacterial pathogens from food and water, and drastically increased the specificity and sensitivity of the assays. In this review, we report an update on the development of rapid and efficient methods for the detection and identification of Salmonella in food and water, focusing on the approaches for concentration of Salmonella cells and viable cell detection, as well as the advantages and drawbacks of these methods.

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An outbreak of Salmonella Newport associated with mung bean sprouts in Germany and the Netherlands, October to November 2011

Cited by 45 publications

References 22 publications

Growth of healthy and sanitizer-injured Salmonella cells on mung bean sprouts in different commercial enrichment broths

Growth of healthy and sanitizer-injured Salmonella cells on mung bean sprouts in different commercial enrichment broths

Monitoring Count Time Series inR: Aberration Detection in Public Health Surveillance

Recent and the Latest Developments in Rapid and Efficient Detection of Salmonella in Food and Water

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