Risk Communication during Foodborne Disease Outbreaks: The Four Rs

2016 ◽  
pp. 398-419
Keyword(s):  
Risk Communication ◽  
Disease Outbreaks ◽  
Foodborne Disease

scholarly journals Food recalls associated with foodborne disease outbreaks, United States, 2006–2016

2021 ◽  
pp. 1-24
Author(s):  
Qihua Qiu ◽  
Daniel Dewey-Mattia ◽  
Sanjana Subramhanya ◽  
Zhaohui Cui ◽  
Patricia M. Griffin ◽  
...  
Keyword(s):  
United States ◽  
Disease Outbreaks ◽  
Foodborne Disease ◽  
Food Recalls

Insects as vectors of foodborne pathogenic bacteria

2011 ◽  
Vol 4 (1) ◽  
pp. 5-16 ◽  
Author(s):  
Jeffrey Blazar ◽  
Marc Allard ◽  
E. Kurt Lienau
Keyword(s):  
Food Safety ◽  
Foodborne Pathogens ◽  
Pathogenic Bacteria ◽  
Current Knowledge ◽  
Disease Outbreaks ◽  
House Fly ◽  
American Cockroach ◽  
Health Concern ◽  
Foodborne Disease ◽  
Salmonella Spp

AbstractFood safety is an important consideration worldwide. To maintain and improve our current knowledge of foodborne disease outbreaks, we must understand some of the more imminent issues related to food safety. A variety of agents are responsible for transmitting the estimated 76 million cases of illnesses caused by foodborne pathogens every year. This review explores why insects pose a serious health concern, in terms of worldwide food safety initiatives, by looking at evidence in published <abs>Food safety is an important consideration worldwide. To maintain and improve our current knowledge of foodborne disease outbreaks, we must understand some of the more imminent issues related to food safety. A variety of agents are responsible for transmitting the estimated 76 million cases of illnesses caused by foodborne pathogens every year. This review explores why insects pose a serious health concern, in terms of worldwide food safety initiatives, by looking at evidence in published literature. We highlight at least eleven different species of insects, including the lesser mealworm, Alphitobius diaperinus (Panzer); secondary screwworm, Cochliomyia macellaria (Fabricius); synanthropic flies [flesh fly, Sarcophaga carnaria (L.); house fly, Musca domestica (L.); fruit fly, Drosophila melanogaster (Meigen); and stable fly, Stomoxys calcitrans (L.)], American cockroach, Periplaneta americana (L.); German cockroach, Blatella germanica (L.); Oriental cockroach, Blatta orientalis (L.); Pacific beetle cockroach, Diploptera punctata (Eschscholtz); and Speckled feeder cockroach, Nauphoeta cinerea (Olivier), which act as vectors for Salmonella spp. or Escherichia coli and illustrate how these insects are successful vectors of foodborne disease outbreaks. We propose that insects be considered as one of the latest issues in food safety initiatives. Not only are some insects extremely important contributors to diseases, but now we suggest that more research into insects as potential carriers of E. coli and Salmonella spp., and therefore as contributing to foodborne disease outbreaks, is granted.

Effect of Ozone on the Inactivation of Yersinia enterocolitica and the Reduction of Natural Flora on Potatoes

2006 ◽  
Vol 69 (10) ◽  
pp. 2357-2363 ◽  
Author(s):  
MARÍA VICTORIA SELMA ◽  
DAVID BELTRÁN ◽  
ELISEO CHACÓN-VERA ◽  
MARÍA ISABEL GIL
Keyword(s):  
Listeria Monocytogenes ◽  
Yersinia Enterocolitica ◽  
Disease Outbreaks ◽  
Wash Water ◽  
Foodborne Disease ◽  
Pathogenic Microorganisms ◽  
Psychrotrophic Bacteria ◽  
Fresh Vegetables ◽  
Natural Flora ◽  
Soil Irrigation

Fresh vegetables contaminated with Yersinia enterocolitica have been implicated in foodborne disease outbreaks. Surfaces of vegetables can become contaminated with pathogenic microorganisms through contact with soil, irrigation water, fertilizers, equipment, humans, and animals. One approach to reduce this contamination is to treat fresh produce with sanitizers. In this study, the ability of ozone to inactivate Y. enterocolitica inoculated in water and on potato surfaces was evaluated. Furthermore, the efficacy of ozone in reducing natural flora on whole potato was determined. Total aerobic mesophilic and psychrotrophic bacteria, total coliforms, and Listeria monocytogenes were enumerated. Finally, several disinfection kinetic models were considered to predict Y. enterocolitica inactivation with ozone. Treatments with ozone (1.4 and 1.9 ppm) for 1 min decreased the Y. enterocolitica population in water by 4.6 and 6.2 log CFU ml−1, respectively. Furthermore, ozonated water (5 ppm) for 1 min decreased Y. enterocolitica and L. monocytogenes from potato surfaces by 1.6 and 0.8 log CFU g−1, respectively. Therefore, ozone can be an effective treatment for disinfection of wash water and for reduction of potato surface contamination.

Data mining for recognizing patterns in foodborne disease outbreaks

2010 ◽  
Vol 97 (2) ◽  
pp. 213-227 ◽  
Author(s):  
Maitri Thakur ◽  
Sigurdur Olafsson ◽  
Jong-Seok Lee ◽  
Charles R. Hurburgh
Keyword(s):  
Data Mining ◽  
Disease Outbreaks ◽  
Foodborne Disease

Epidemiology of foodborne disease outbreaks caused by Vibrio parahaemolyticus during 2010–2014 in Zhejiang Province, China

Food Control ◽  
2017 ◽  
Vol 77 ◽  
pp. 110-115 ◽  
Author(s):  
Jiang Chen ◽  
Ronghua Zhang ◽  
Xiaojuan Qi ◽  
Biao Zhou ◽  
Jikai Wang ◽  
...  
Keyword(s):  
Vibrio Parahaemolyticus ◽  
Disease Outbreaks ◽  
Zhejiang Province ◽  
Foodborne Disease

scholarly journals Incubation periods of enteric illnesses in foodborne outbreaks, United States, 1998–2013

2019 ◽  
Vol 147 ◽  
Author(s):  
S. J. Chai ◽  
W. Gu ◽  
K. A. O'Connor ◽  
L. C. Richardson ◽  
R. V. Tauxe
Keyword(s):  
United States ◽  
Incubation Period ◽  
Disease Outbreaks ◽  
Disease Outbreak ◽  
Outbreak Investigation ◽  
Foodborne Disease ◽  
Case Definitions ◽  
Viral Pathogens ◽  
Incubation Periods ◽  
Foodborne Outbreaks

Abstract Early in a foodborne disease outbreak investigation, illness incubation periods can help focus case interviews, case definitions, clinical and environmental evaluations and predict an aetiology. Data describing incubation periods are limited. We examined foodborne disease outbreaks from laboratory-confirmed, single aetiology, enteric bacterial and viral pathogens reported to United States foodborne disease outbreak surveillance from 1998–2013. We grouped pathogens by clinical presentation and analysed the reported median incubation period among all illnesses from the implicated pathogen for each outbreak as the outbreak incubation period. Outbreaks from preformed bacterial toxins (Staphylococcus aureus, Bacillus cereus and Clostridium perfringens) had the shortest outbreak incubation periods (4–10 h medians), distinct from that of Vibrio parahaemolyticus (17 h median). Norovirus, salmonella and shigella had longer but similar outbreak incubation periods (32–45 h medians); campylobacter and Shiga toxin-producing Escherichia coli had the longest among bacteria (62–87 h medians); hepatitis A had the longest overall (672 h median). Our results can help guide diagnostic and investigative strategies early in an outbreak investigation to suggest or rule out specific etiologies or, when the pathogen is known, the likely timeframe for exposure. They also point to possible differences in pathogenesis among pathogens causing broadly similar syndromes.

scholarly journals A Gravity-Based Food Flow Model to Identify the Source of Foodborne Disease Outbreaks

2020 ◽  
Vol 17 (2) ◽  
pp. 444 ◽  
Author(s):  
Tim Schlaich ◽  
Abigail L. Horn ◽  
Marcel Fuhrmann ◽  
Hanno Friedrich
Keyword(s):  
Gravity Model ◽  
Food Supply ◽  
Food Item ◽  
Disease Outbreaks ◽  
Gravity Models ◽  
Shopping Behavior ◽  
Foodborne Disease ◽  
Inference Models ◽  
Computational Approaches ◽  
Home Location

Computational traceback methodologies are important tools for investigations of widespread foodborne disease outbreaks as they assist investigators to determine the causative outbreak location and food item. In modeling the entire food supply chain from farm to fork, however, these methodologies have paid little attention to consumer behavior and mobility, instead making the simplifying assumption that consumers shop in the area adjacent to their home location. This paper aims to fill this gap by introducing a gravity-based approach to model food-flows from supermarkets to consumers and demonstrating how models of consumer shopping behavior can be used to improve computational methodologies to infer the source of an outbreak of foodborne disease. To demonstrate our approach, we develop and calibrate a gravity model of German retail shopping behavior at the postal-code level. Modeling results show that on average about 70 percent of all groceries are sourced from non-home zip codes. The value of considering shopping behavior in computational approaches for inferring the source of an outbreak is illustrated through an application example to identify a retail brand source of an outbreak. We demonstrate a significant increase in the accuracy of a network-theoretic source estimator for the outbreak source when the gravity model is included in the food supply network compared with the baseline case when contaminated individuals are assumed to shop only in their home location. Our approach illustrates how gravity models can enrich computational inference models for identifying the source (retail brand, food item, location) of an outbreak of foodborne disease. More broadly, results show how gravity models can contribute to computational approaches to model consumer shopping interactions relating to retail food environments, nutrition, and public health.

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