Existing food sampling programmes used by the local authorities, if they exist, operate in a 'hit or miss' fashion, and the use of small sample size is common in the programmes. Although the U.K. food co-ordination network is well developed, the complexity of the three-way systems creates many complications and duplications. Also, compliance with the European legislation generates extra burdens to the U.K. governments. A national survey was undertaken in 1998 to investigate the purpose and effectiveness on local authonty food sampling. Although only half of the returns believed that local food programmes contributed significantly to the prevention of foodborne illness, over three-quarters agreed that the programmes could be improved upon. It was clearly shown that U.K. local authorities were eager to advance their sampling regime, but were handicapped by resource constraints. The local authorities stated that improvement could be achieved if sampling activities were increased. Because sampling involves errors due to uncertainties and variations, a statistically validated sampling model was developed in an attempt to determine suitable sample sizes under various sample proportions that would also satisfy good normal approximation in order to reduce margin of error to a minimum. However, the model illustrated that current sampling regimes were far from reaching the minimum requirement. In the main, if sampling has a part in food safety activities, then central government support towards sampling and analysis cost is vital. Routine sampling can be undertaken collectively at a regional basis, and such high cost may be split among local authorities. Alternatively, a requirement can be placed upon food premises to undertake their own sampling, and officers will then carry out local audits. Finally, further investigations should be extended to the determination of many contaminants' limits and the cost benefit analysis along the chain of causality.

Background. Foodborne disease is estimated to cause 48 million illnesses annually in the US resulting in 3000 deaths [1]. Although most infections occur as sporadic cases, outbreak surveillance offers valuable insight about the foods and pathogens responsible for illnesses [2]. A total of 1632 foodborne disease outbreaks were reported during 2011-2012 [3] and recent data indicates an overall decrease in the number of outbreaks reported each year [4]. Understanding which factors contribute to the successful identification of a food vehicle in a foodborne outbreak investigation is crucial for improving outbreak response [5-10]. The purpose of this study was to describe outbreak characteristics and to determine which may be associated with the success of a foodborne outbreak investigation (i.e. one in which a food vehicle has been reported). Methods. A foodborne disease outbreak was defined as the event in which two or more people acquired similar illnesses from consuming the same food or beverage. Outbreaks occurring in FoodNet sites during 2003 through 2010 were included in the analysis. Results. Data were available for 1441 (87%) of the 1655 foodborne disease outbreaks documented in FoodNet Outbreak Supplement forms from 2003 through 2010. A food vehicle was identified in 692 of the 1441 (48%) outbreaks. Six outbreak characteristics remained statistically significant in both univariate and multivariate analyses: environmental and/or food culture collection, FDA or state agriculture involvement, outbreak size, case-control studies, and number of fecal specimens tested for norovirus. Conclusions. Less than half of foodborne outbreaks examined here resulted in a food vehicle being identified. Having more robust resources available for outbreak detection and investigation may improve likelihood of a food vehicle being identified.

abstract: Yersinia enterocolitica is a major foodborne pathogen found worldwide that causes approximately 87,000 human cases and approximately 1,100 hospitalizations per year in the United States. Y. enterocolitica is a very unique pathogen with the domesticated pig acting as the main animal reservoir for pathogenic bio/serotypes, and as the primary source of human infection. Similar to other gastrointestinal infections, Yersinia enterocolitica is known to trigger autoimmune responses in humans. The most frequent complication associated with Y. enterocolitica is reactive arthritis - an aseptic, asymmetrical inflammation in the peripheral and axial joints, most frequently occurring as an autoimmune response in patients with the HLA-B27 histocompatability antigen. As a foodborne illness it may prove to be a reasonable explanation for some of the cases of arthritis observed in past populations that are considered to be of unknown etiology. The goal of this dissertation project was to study the relationship between the foodborne illness -Y. enterocolitica, and the incidence of arthritis in individuals with and without contact with the domesticated pig. / Dissertation/Thesis / Doctoral Dissertation Anthropology 2015

No description available.

This study examined how case attributes impact plaintiff success and payouts in jury settled foodborne illness (FBI) lawsuits. Given the risk to firms in terms of potentially large payouts, future litigation, and lost reputation, the results may provide economic incentives for food firms and others in the supply chain to produce safer and better quality foods. Legal databases were systematically searched to identify cases of FBI, which were resolved through the U.S. court system. Reviewing the outcomes of 511 FBI jury trials between 1979 and 2014, plaintiffs won 34.8% of cases, and received a median award of $32,264. The Heckman two-step estimation procedure was used to examine the effects of various factors on plaintiff success rates and subsequent amounts awarded. Plaintiff chances of victory increased if lawsuits involved a child, foodborne pathogen was identified and pain and suffering was claimed, and decreased if defendants used of one or more expert witnesses or had 'deep pockets'. Cases involving a child, chronic complications, or defendants with 'deep pockets' resulted in higher awards. Corporate and policy implications of these findings are considered. / Master of Science

Cost-of-illness (COI) analysis was the first economic evaluation methodology used in the health field, and it aims to identify and quantify all of the costs incurred due to a particular illness. While cost-of-illness studies attract much interest from healthcare policy makers and public health advocates, inconsistencies in study methodologies and cost inventories have made cost-of-illness estimates difficult to interpret and compare, limiting their usefulness. The purpose of this thesis was to use a scoping review approach to systematically explore cost inventories in the cost of foodborne illness literature, and to investigate the association between study methodologies, component costs, and foodborne illness-related factors to the estimated cost of non-typhoidal Salmonella spp. illness, using studies identified in the scoping review. The results indicated high variability in terms of the depth and breadth of individual and societal level component costs, along with a wide range of data sources being used in the cost of foodborne illness literature. Additionally, the number of direct component cost categories included in an estimate, particularly long-term care costs, and the inclusion of chronic sequelae costs were significantly associated with the cost of non-typhoidal Salmonella spp. illness. Therefore, these may be important factors to consider when initiating a cost of foodborne illness study and when interpreting or comparing existing cost of foodborne illness estimates. The results of this thesis can be used to address issues that are believed to be limiting cost-of-illness studies as decision making tools, and to better understand factors which may impact a cost of foodborne illness estimate. / Scoping review and linear regression analyses in the area of cost of foodborne illness / Canadian Institutes of Health Research/Public Health Agency of Canada (CIHR/PHAC) Applied Public Health Research Chair (awarded to Dr. Jan M. Sargeant)

Master of Science / Food Science Institute,Human Nutrition / Valentina M. Remig / Foodborne illness is a serious health problem in the United States, and especially in the mature adult population. This research examined food safety knowledge of mature Kansans(aged 55 years and older) in three important constructs (handwashing, food handling, and food preparation), their knowledge of foodborne illness symptoms, and their food safety concerns while eating away from home. One-hundred and forty participants completed a self-administered questionnaire containing ten food safety knowledge questions representing sixty answer options. Replies to those questions were compared by age, gender, geographic location,and educational attainment. Results indicated that geographic location was statistically significantly related to food safety knowledge; however, age, gender, and education had little to moderate association. Additional findings revealed food safety knowledge was not associated with participants’ level of food safety concern while eating away from home. In conclusion, the findings revealed that mature Kansans possessed general food safety knowledge; however, some responses indicated mature adults did not fully understand certain food safety protocols. Areas identified as needing further attention included appropriate hand drying and surface cleaning, safe food and refrigerator temperatures, proper thawing practices, as well as safe leftover and melon preparation.

Foodborne illnesses continue to have a negative impact on the nation's health, accounting annually for an estimated 76 million illnesses, 325,000 hospitalizations, and 5,000 deaths in the United States. Syndromic surveillance systems that analyze pre-diagnostic data, such as pharmaceutical sales data are being used to monitor diarrheal disease. The purpose of this study is to evaluate the usefulness of a poison control center (PCC) data collection and triage system for early detection of increases in foodborne illnesses.Data on calls to the Arizona Poison and Drug Information Center (APDIC) reporting suspected foodborne illnesses, and Pima County Health Department (PCHD) enteric illness reports were obtained for July 1, 2002 - June 30, 2007. Prediction algorithms were constructed using the first two and a half years, and validated in the remaining two and a half years. Multiple outcomes were assessed using unadjusted and adjusted raw counts, five and seven day moving averages, and exponentially weighted moving averages. Sensitivity analyses were conducted to evaluate model performance. Increases in PCHD laboratory reports of enteric illnesses were used as a proxy measure for foodborne disease outbreaks.Over the five year study period there were 1,094 APDIC calls reporting suspected foodborne illnesses, and 2,433 PCHD enteric illness cases. Seventy-five percent of cases were reported to PCHD within 23 days of symptom onset. In contrast, 62% of callers contacted APDIC within 24 hours of symptom onset. Forty percent of PCHD cases were missing symptom onset dates, which necessitated constructing and validating predictive algorithms using only those PCHD cases with known symptom onset dates.None of the prediction models performed at sensitivity levels considered acceptable by public health department standards. However, it is possible that a temporal relationship actually exists, but data quality (lack of outbreak dates, and missing symptom onset dates) may have prevented its detection. The study suggests that current surveillance by PCCs is insufficient as a univariate model for syndromic surveillance of diarrheal illness because of low caller volume reporting suspected foodborne illnesses; this can be improved. Methods were discussed to utilize PCCs for active surveillance of foodborne illnesses that are of public health significance.

Most people have had an episode of foodborne illness at one time or another; however, the majority of those stricken with foodborne illness fails to associate ill health with something consumed within the past 72 hours. The World Health Organization (WHO) estimates that foodborne diseases affect 30% of the population in developed countries, and that in developing countries, about 2 million people die yearly due to foodborne illness. Previous researchers have indicated that food handlers with poor personal hygiene are potential sources of infection. Although public health agencies in many countries already regularly inspect food facilities to control potential foodborne illnesses to some extent, the question of the most appropriate and effective means of achieving the goal of food safety remains unanswered. Therefore, the purpose of this study was to determine whether a color-coded placard grading system is an effective tool for achieving this goal while simultaneously educating the public about food safety. This study involved 1,410 randomly selected food service establishments, consisting of traditional restaurants, take-out restaurants, grocery stores, public school cafeterias, and institutional food facilities located in Alameda County, California. Inspection data were analyzed for the first 12 months of placard grading and compared to the following 12 months during the placard grading period. Statistical analysis results did not show significant differences in the CDC major violations and in confirmed foodborne illnesses between the 2 years. However, it is expected that the new program will provide improved food handling practices in the future. Improvement in food handling practices will contribute to social change by reducing the number of foodborne illnesses, promoting better health for the community, and educating the public about food safety.

The CDC estimated that foodborne infections resulted in approximately 76 million illnesses, 325,000 hospitalizations, and 5,000 deaths per year in the United States (Mead, 1999). There are over 200 known diseases caused by viruses, bacteria, parasites, toxins, metals, or prions that can be transmitted through food. Of these illnesses caused by foodborne disease, the CDC estimates that 38.6 million cases are from identifiable pathogens and 30.9 million of these cases are caused by viruses. Hence, approximately 80% of foodborne illnesses of known etiology result from viral transmission (Mead, 1999). Viral gastrointestinal illness may be caused by virus families such as: enterovirus, rotavirus, calicivirus, astrovirus, or norovirus. These viruses are highly contagious and are spread through the fecal-oral route; transmission vehicles include contaminated food or beverages, infected food handlers, fomites or close contact with an infected individual (FDA Bad Bug Book, 2003). Until recently, there have been few studies concentrating on viruses found in or on foods. There are several technical difficulties that hinder progress in detecting viral agents from foods. One of these problems is the presence of matrix inhibitors. Substances responsible for matrix inhibition include humic acid, polysaccharides, myoglobins, metal ions, glycogen, and lipids (Monpoeho, 2001). These substances in foods produce smearing of the RT-PCR amplicon bands on agarose gels. Several methods to reduce inhibitory compounds utilize multiple toxic reagents in the procedure. In this study, varying centrifugal forces were tested at different steps of the virus extraction/concentration procedure to reduce matrix inhibitory effects for molecular detection of norovirus and poliovirus seeded onto food surfaces. This method incorporates the rapid detection capabilities of RT-PCR with the ability to reduce or eliminate matrix inhibitors present in food, by altering the centrifugal force. Results for both viruses showed that band intensity decreased as the viral concentration decreased and no one method was superior for all food matrices. This investigation showed that matrix specific modifications to the basic protocol are required to efficiently extract viruses from the surface of foods. Each food should be assessed to determine modifications to the standard method that would be optimal for viral concentration and extraction.