Investments in Food Safety Risk Assessment and Risk Analysis as a Requirement for Robust Food Control Systems: Calling for Regional Centres of Expertise

2019 ◽  
Vol 2 (1) ◽  
pp. 1 ◽  
Author(s):  
Samuel Benrejeb Godefroy ◽  
Rashed A. Al Arfaj ◽  
Ahmed Tabarani ◽  
Hussein Mansour

Risk Assessment is the scientifically-based process that characterizes the possible human health implications of hazards found in food. This scientific approach is part of the risk analysis paradigm that governs the food decision-making process. It is a prerequisite for the development and execution of robust and consistent food safety regulatory decisions. This paper reviews food regulatory decision-making scenarios where risk assessment plays a key role. It discusses challenges associated with the access to capacity and competencies from various disciplines necessary to enable risk assessment and overall risk analysis. The paper illustrates the urgent need for the provision of additional support to capacity building initiatives in this area by means of mutually beneficial resource-sharing with the objective to establish regional and/or sub-regional centres of food regulatory science, including expertise in risk assessment. Regional Centres of Expertise may be the answer to provide the needed competencies and up-to-date tools to operationalize food regulatory systems, where food risk analysis is the foundation of decision-making, as advocated by the guidance of the Codex Alimentarius commission. It may also be the response to support economic regional integration, where food and agrifood trade needs to be supported by the removal of Sanitary and Phytosanitary (SPS) constraints and through achieving a more coordinated and harmonious food safety standard setting framework, at the regional level.

2014 ◽  
pp. 137-175 ◽  
Author(s):  
Sherri B. Dennis ◽  
Janell Kause ◽  
Mary Losikoff ◽  
Daniel L. Engeljohn ◽  
Robert L. Buchanan

2004 ◽  
Vol 67 (9) ◽  
pp. 2058-2062 ◽  
Author(s):  
ROBERT L. BUCHANAN ◽  
SHERRI DENNIS ◽  
MARIANNE MILIOTIS

Management of risk analysis involves the integration and coordination of activities associated with risk assessment, risk management, and risk communication. Risk analysis is used to guide regulatory decision making, including trade decisions at national and international levels. The U.S. Food and Drug Administration Center for Food Safety and Applied Nutrition (CFSAN) formed a working group to evaluate and improve the quality and consistency of major risk assessments conducted by the Center. Drawing on risk analysis experiences, CFSAN developed a practical framework for initiating and managing risk assessments, including addressing issues related to (i) commissioning a risk assessment, (ii) interactions between risk managers and risk assessors, and (iii) peer review.


2015 ◽  
Vol 4 (1) ◽  
Author(s):  
Gaetano Liuzzo ◽  
Stefano Bentley ◽  
Federica Giacometti ◽  
Andrea Serraino

The paper describes the process of risk analysis in a food safety perspective. The steps of risk analysis defined as a process consisting of three interconnected components (risk assessment, risk management, and risk communication) are analysed. The different components of the risk assessment, risk management and risk communication are further described.


2016 ◽  
Vol 100 (6) ◽  
pp. 672-684 ◽  
Author(s):  
GK Raju ◽  
K Gurumurthi ◽  
R Domike ◽  
D Kazandjian ◽  
G Blumenthal ◽  
...  

Author(s):  
James Bus ◽  
Richard Canady ◽  
Tracy Collier ◽  
J William Owens ◽  
Syril Pettit ◽  
...  

2020 ◽  
Vol 2020 ◽  
pp. 1-23
Author(s):  
Lingyun Liu ◽  
Jianli Zhou ◽  
Haoxin Dong ◽  
Yao Tao ◽  
Yunna Wu ◽  
...  

Reducing the phenomenon of wind curtailment is essential to improve the level of wind power consumption. Wind power development in China has shifted to southeast region and dispersed wind power has developed rapidly and gradually become the new main force. However, various obstacles limit the smooth progress of dispersed wind power in low wind speed area. An important point is the absence of targeted risk analysis and evaluation methods. Therefore, the principal contribution of this paper is to find out the critical risk factors of such projects and propose the risk assessment model. First, 18 critical risk factors are identified using the constructed five-dimensional risk analysis model. Second, the hesitant fuzzy linguistic term set with credibility is utilized to collect evaluation information on one hand and to improve the multicriteria decision-making methods involved on the other hand. Third, the risk evaluation and ranking for 10 provinces that mainly develop dispersed wind power is carried out. The evaluation results indicate that the risk level of dispersed wind power projects is “Relatively Low” in most study provinces and the risk levels of Guangdong and Fujian are higher. It is worth noting that the consistency between the evaluation results and the distribution of wind resources can be used to guide the formulation of stimulus policies. Besides, the ranking results show some preference for investment choice. Finally, dual sensitivity analysis tests the stability of the model and shows the ranking results under different decision preferences. Scenario analysis gives the possible risk scenarios and evaluation results in the future. This study can provide insightful inspiration to wind power investors, risk management practitioners, and policymakers.


2015 ◽  
Vol 198 (2) ◽  
pp. 204-211 ◽  
Author(s):  
Adaoha E. C. Ihekwaba ◽  
Ivan Mura ◽  
Pradeep K. Malakar ◽  
John Walshaw ◽  
Michael W. Peck ◽  
...  

Botulinum neurotoxins (BoNTs) produced by the anaerobic bacteriumClostridium botulinumare the most potent biological substances known to mankind. BoNTs are the agents responsible for botulism, a rare condition affecting the neuromuscular junction and causing a spectrum of diseases ranging from mild cranial nerve palsies to acute respiratory failure and death. BoNTs are a potential biowarfare threat and a public health hazard, since outbreaks of foodborne botulism are caused by the ingestion of preformed BoNTs in food. Currently, mathematical models relating to the hazards associated withC. botulinum, which are largely empirical, make major contributions to botulinum risk assessment. Evaluated using statistical techniques, these models simulate the response of the bacterium to environmental conditions. Though empirical models have been successfully incorporated into risk assessments to support food safety decision making, this process includes significant uncertainties so that relevant decision making is frequently conservative and inflexible. Progression involves encoding into the models cellular processes at a molecular level, especially the details of the genetic and molecular machinery. This addition drives the connection between biological mechanisms and botulism risk assessment and hazard management strategies. This review brings together elements currently described in the literature that will be useful in building quantitative models ofC. botulinumneurotoxin production. Subsequently, it outlines how the established form of modeling could be extended to include these new elements. Ultimately, this can offer further contributions to risk assessments to support food safety decision making.


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