scholarly journals Awareness and Perceptions of Food Safety Risks and Risk Management in Poultry Production and Slaughter: A Qualitative Study of Direct-Market Poultry Producers in Maryland

PLoS ONE ◽  
2016 ◽  
Vol 11 (6) ◽  
pp. e0158412 ◽  
Author(s):  
Patrick Baron ◽  
Shannon Frattaroli
Keyword(s):  
Risk Management ◽  
Food Safety ◽  
Qualitative Study ◽  
Poultry Production ◽  
Safety Risks ◽  
Direct Market

Infectivity of Trichinella nativa in Traditional Northern (Country) Foods Prepared with Meat from Experimentally Infected Seals

2003 ◽  
Vol 66 (10) ◽  
pp. 1857-1863 ◽  
Author(s):  
LORRY B. FORBES ◽  
LENA MEASURES ◽  
ALVIN GAJADHAR ◽  
CHRISTIAN KAPEL
Keyword(s):  
Risk Management ◽  
Food Safety ◽  
Field Conditions ◽  
Future Research ◽  
Infective Larvae ◽  
Laboratory Conditions ◽  
Safety Risks ◽  
Northern Country ◽  
Infected Meat ◽  
Trichinella Nativa

The infectivity of Trichinella nativa larvae in three traditional northern (country) foods was assessed. Foods were prepared with meat from seals experimentally infected with Trichinella nativa and evaluated over a 317-day period during which this food was fed directly to cats while mice were orally inoculated with larvae recovered following the digestion of the food in a solution containing 1% pepsin and 1% HCl at 37°C. Foods examined were igunaq (meat and blubber placed in a seal skin bag and allowed to ferment), nikku (air-dried meat), and sausage (meat, fillers, salt, and spices). Sausage was examined both in a raw state and after partial cooking. Infective T. nativa larvae survived in igunaq, nikku, raw frozen sausage, and poorly cooked sausage for at least 5 months under controlled laboratory conditions. Core temperatures of partially cooked sausage never exceeded 50°C. Caution should be exercised in using these data to establish guidelines for the consumption of raw products, since the survival of infective larvae could be unpredictably extended under field conditions. These data indicate significant food safety risks associated with igunaq, nikku, and sausage prepared with Trichinella-infected meat and provide information for use in risk management and in directing future research.

scholarly journals Microbial Food Safety in the Maryland Direct-to-Consumer Poultry Supply Chain

2019 ◽  
Author(s):  
Patrick A. Baron ◽  
David C. Love ◽  
Shanna Ludwig ◽  
Kathryn Dalton ◽  
Jesper Larsen ◽  
...  
Keyword(s):  
Supply Chain ◽  
Food Safety ◽  
Meat Products ◽  
Poultry Meat ◽  
Poultry Production ◽  
Animal Products ◽  
E Coli ◽  
Direct To Consumer ◽  
Food Animal ◽  
Direct Market

AbstractDirect-to-consumer food marketing is a growing niche in the United States food supply chain. Food animal producers who use direct marketing may employ different production models and standard practices from producers selling animal products to the conventional food system. Direct-to-consumer food supply chains (generally and specifically regarding food animal products) are relatively unexplored in food safety and health research. We conducted a cross-sectional, market-basket analysis of the Maryland direct-to-consumer poultry supply chain to assess food safety. We analyzed 40 direct-to-consumer commercial poultry meat products (one product per farm) forEscherichia coli, Staphylococcus aureusandSalmonella spp.using culture-based methods. Isolates underwent antimicrobial susceptibility testing.E. coliandS. aureuswere recovered from 9/40 (23%) and 12/40 (30%) of poultry meat samples, respectively. Of interest for comparing direct-market and mainstream supply chains for food safety risks, noSalmonellaisolates were recovered from any direct-market sampled poultry products and no multidrug resistance was observed inE. coliandS. aureusisolates. Microbial outcomes were compared to a survey of poultry production and processing practices within the same study population.ImportanceThis study demonstrates substantially lower rates of antimicrobial-resistant (AMR) microbial pathogens in the market-basket products from Maryland direct-market broiler poultry supply chain compared to rates of AMR in the conventional supply chain for similar retail meat products from NARMS. We further describe the landscape of the statewide supply chain for direct-market poultry, focusing on characteristics related to risk management strategies applied to microbial food safety. These findings are of public health significance for both the research and policy communities; these data provide an initial evidence base for more targeted research evaluating potential risk factors for microbial food safety in the direct-to-consumer supply chain. These data will also assist the Maryland Department of Agriculture and other state-level agencies with oversight of food safety issues to guide policy efforts for direct-market poultry production and sales.

scholarly journals A Qualitative Study on the US Forest Service’s Risk Management Assistance Efforts to Improve Wildfire Decision-Making

Forests ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 344
Author(s):  
Courtney A. Schultz ◽  
Lauren F. Miller ◽  
Sarah Michelle Greiner ◽  
Chad Kooistra
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Decision Support ◽  
Qualitative Study ◽  
Fire Management ◽  
Perceived Value ◽  
Forest Service ◽  
The Us ◽  
Decision Biases ◽  
Line Officers

To support improved wildfire incident decision-making, in 2017 the US Forest Service (Forest Service) implemented risk-informed tools and processes, together known as Risk Management Assistance (RMA). The Forest Service is developing tools such as RMA to improve wildfire decision-making and implements these tools in complex organizational environments. We assessed the perceived value of RMA and factors that affected its use to inform the literature on decision support for fire management. We sought to answer two questions: (1) What was the perceived value of RMA for line officers who received it?; and (2) What factors affected how RMA was received and used during wildland fire events? We conducted a qualitative study involving semi-structured interviews with decision-makers to understand the contextualized and interrelated factors that affect wildfire decision-making and the uptake of a decision-support intervention such as RMA. We used a thematic coding process to analyze our data according to our questions. RMA increased line officers’ ability to communicate the rationale underlying their decisions more clearly and transparently to their colleagues and partners. Our interviewees generally said that RMA data analytics were valuable but did not lead to changes in their decisions. Line officer personality, pre-season exposure to RMA, local political dynamics and conditions, and decision biases affected the use of RMA. Our findings reveal the complexities of embracing risk management, not only in the context of US federal fire management, but also in other similar emergency management contexts. Attention will need to be paid to existing decision biases, integration of risk management approaches in the interagency context, and the importance of knowledge brokers to connect across internal organizational groups. Our findings contribute to the literature on managing change in public organizations, specifically in emergency decision-making contexts such as fire management.

scholarly journals Comparison of whole genome sequences of three Bacillus cereus strains reveals the food safety risks of Apostichopus japonicus in China

2021 ◽  
Vol 20 ◽  
pp. 100649
Author(s):  
Xiaoran Zhao ◽  
Ruijun Li ◽  
Huifeng Dang ◽  
Luo Wang ◽  
Songzhe Fu ◽  
...  
Keyword(s):  
Food Safety ◽  
Bacillus Cereus ◽  
Apostichopus Japonicus ◽  
Whole Genome ◽  
Genome Sequences ◽  
Safety Risks

scholarly journals Risk Management in Seaports: A Community Analysis at the Port of Hamburg

2021 ◽  
Vol 13 (14) ◽  
pp. 8035
Author(s):  
Ayman Nagi ◽  
Meike Schroeder ◽  
Wolfgang Kersten
Keyword(s):  
Risk Management ◽  
Natural Disasters ◽  
Secondary Data ◽  
Community Analysis ◽  
Detection Algorithm ◽  
Structured Interviews ◽  
Emergency Plans ◽  
Plausibility Check ◽  
Safety Risks ◽  
Community Detection Algorithm

The aim of this work is to detect communities of stakeholders at the port of Hamburg regarding their communication intensity in activities related to risk management. An exploratory mixed-method design is chosen as a methodology based on a compact survey and semi-structured interviews, as well as secondary data. A compact survey at the port of Hamburg is utilized to address the communication intensity values among stakeholders. Based on 28 full responses, the data is extracted, cleansed, and prepared for the network analysis using the software “Gephi”. Thereafter, the Louvain community detection algorithm is used to extract the communities from the network. A plausibility check is carried out using 15 semi-structured interviews and secondary data to verify and refine the results of the community analysis. The results have revealed different communities for the following risk categories: (a) natural disasters and (b) operational and safety risks. The focus of cooperation is on the reactive process and emergency plans. For instance, emergency plans play an important role in the handling of natural disasters such as floods or extreme winds.

Improving the quality and safety of dairy products by implementing a management system

2021 ◽  
pp. 28-31
Author(s):  
Natalia A. Jurk ◽  
Keyword(s):  
Food Safety ◽  
Management System ◽  
Safety Management ◽  
Quality Management System ◽  
Raw Materials ◽  
Developed Countries ◽  
Control Points ◽  
Quality And Safety ◽  
Critical Control Points ◽  
Safety Risks

In order to achieve a certain level of food production, it is necessary to manage its quality and safety. Currently, the quality management system based on the principles of HACCP is widely recognized and is the only method for ensuring food security in all developed countries. The ultimate goal of this system is to eliminate or reduce any food safety risks by preventing them. During the research, the main, auxiliary raw materials and the finished product were identified; flowcharts for the production of an enriched whey drink were developed. On the basis of the developed block diagrams, an analysis of microbiological, chemical, physical and qualitative hazards was carried out, it was determined which of the hazardous factors are the most critical, can harm health and must be eliminated or reduced to acceptable levels. Based on the analysis of significant hazards using the Decision Tree algorithm, two critical control points (pasteurization and cooling) were established. Measures for the management of critical control points are established in the HACCP plan, which reflects all CCPs of the production process of the research object and actions for monitoring and managing them. The introduction of elements of a food safety management system into practice contributes to the production of safe products of appropriate quality in compliance with applicable requirements and standards.

Enhancing Safety Risk Management with Quantitative Measures

2017 ◽  
Vol 2603 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Boris Claros ◽  
Carlos Sun ◽  
Praveen Edara
Keyword(s):  
Risk Management ◽  
Management System ◽  
Goodness Of Fit ◽  
Safety Management ◽  
Multinomial Distribution ◽  
Safety Management System ◽  
Safety Risk ◽  
Safety Risks ◽  
Safety Models ◽  
Runway Incursion

At the airfield in hub airports, many activities occur that involve a range of participants, including various-size aircraft, ground vehicles, and workers. The safety management system is FAA's approach for systematically managing aviation safety. A major component of the safety management system is safety risk management (SRM), which entails analysis, assessment, and control of safety risks, including risks on the airfield. Current SRM has few specific safety models to estimate the likelihood or frequency of risks. This paper presents an example for development and incorporation of safety models into SRM. Specifically, it discusses safety models for runway incursion that use the following variables: total and general aviation operations, length of runway by type, number of taxiway intersections, snowfall, precipitation, number of hot spots, and construction activity. Categorization and processing of data were significant because each variable used could take on multiple forms, and some types of data involved review of airfield diagrams. The data used were from 137 U.S. hub airports for 2009 through 2014. For modeling, the negative multinomial distribution was used because it proved suitable for representing overdispersed data such as runway incursion frequency. Performance of the models was assessed through the goodness-of-fit measures of log likelihood, overdispersion, and cumulative residual plots. Models were developed for five severity categories of runway incursions and three types of surface events. The safety modeling approach presented here can serve as a foundation for development of other safety models that can be integrated into SRM to enable quantitative analysis of safety risks.

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