Microbial Risk, Management and Regulations Top Concerns

Opflow ◽  
1999 ◽  
Vol 25 (10) ◽  
pp. 3-14
Author(s):  
Keyword(s):  
Risk Management ◽  
Microbial Risk

Framework for Identification and Collection of Data Useful for Risk Assessments of Microbial Foodborne or Waterborne Hazards: A Report from the International Life Sciences Institute Research Foundation Advisory Committee on Data Collection for Microbial Risk Assessment

2007 ◽  
Vol 70 (7) ◽  
pp. 1744-1751 ◽  
Author(s):  
ISABEL WALLS
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Risk Management ◽  
Data Collection ◽  
Dose Response ◽  
Management Decision ◽  
Microbial Risk Assessment ◽  
Microbial Risk ◽  
Response Data ◽  
Management Decision Making

A microbial risk assessment (MRA) can provide the scientific basis for risk management decision making. Much data are needed to complete an MRA, including quantitative data for pathogens in foods. The purpose of this document was to provide information on data needs and data collection approaches for MRAs that will be useful for national governments, particularly in developing countries. A framework was developed, which included the following activities: (i) identify the purpose of data collection—this should include stating the specific question(s) to be addressed; (ii) identify and gather existing data—this should include a determination of whether the data are sufficient to answer questions to be addressed; (iii) develop and implement a data collection strategy; (iv) analyze data and draw conclusions; and (v) use data to answer questions identified at the start of the process. The key data needs identified for an MRA were as follows: (i) burden of foodborne or waterborne disease; (ii) microbial contamination of foods; and (iii) consumption patterns. In addition, dose-response data may be necessary, if existing dose-response data cannot be used to estimate dose response for the population of interest. Data should be collected with a view to its use in risk management decision making. Standard sampling and analysis methods should be used to ensure representative samples are tested, and care should be taken to avoid bias when selecting data sets. A number of barriers to data collection were identified, including a lack of clear understanding of the type of data needed to undertake an MRA, which is addressed in this document.

scholarly journals Microbial risk classifications for recreational waters and applications to the Swan and Canning Rivers in Western Australia

2011 ◽  
Vol 9 (1) ◽  
pp. 70-79 ◽  
Author(s):  
B. Abbott ◽  
R. Lugg ◽  
B. Devine ◽  
A. Cook ◽  
P. Weinstein
Keyword(s):  
Water Quality ◽  
Risk Management ◽  
Recreational Water ◽  
Recreational Waters ◽  
Two Phase ◽  
Recreational Water Quality ◽  
Body Contact ◽  
Microbial Risk ◽  
Risk Management Framework ◽  
Department Of Health

Protecting recreational water quality where ‘whole-of-body contact’ activities occur is important from a public health and economic perspective. Numerous studies have demonstrated that infectious illnesses occur when swimming in faecally polluted waters. With the release of the 2008 Australian recreational water guidelines, the Western Australian (WA) Department of Health conducted a formal evaluation to highlight the advantages of applying the microbial risk management framework to 27 swimming beaches in the Swan and Canning Rivers in Perth, WA. This involved a two-phase approach: (i) calculation of 95th percentiles using historical enterococci data; and (ii) undertaking sanitary inspections. The outcomes were combined to assign provisional risk classifications for each site. The classifications are used to promote informed choices as a risk management strategy. The study indicates that the majority of swimming beaches in the Swan-Canning Rivers are classified as ‘very good’ to ‘good’ and are considered safe for swimming. The remaining sites were classified as ‘poor’, which is likely to be attributed to environmental influences. Information from the study was communicated to the public via a series of press releases and the Healthy Swimming website. The guidelines provide a sound approach to managing recreational water quality issues, but some limitations were identified.

Microbial risk assessment of drinking water to set health-based performance targets to improve water quality and treatment plant operations

2016 ◽  
Vol 11 (2) ◽  
pp. 495-502 ◽  
Author(s):  
A. Shea ◽  
J. Poon ◽  
S. Williamson
Keyword(s):  
Water Quality ◽  
Risk Assessment ◽  
Risk Management ◽  
Drinking Water ◽  
Health Risk ◽  
Treatment Plant ◽  
World Health ◽  
Recycled Water ◽  
Microbial Risk Assessment ◽  
Microbial Risk

Western Water (WW) provides water, recycled water and wastewater services to almost 150,000 people whilst continuously striving to improve processes to provide its customers with safe, cost effective and reliable drinking water, recycled water and treatment services. Under this framework of continuous improvement, WW has reviewed the effectiveness of its drinking water treatment systems using quantitative microbial risk assessment (QMRA) techniques described by the World Health Organization (WHO). The microbial-related water quality targets in the Australian Drinking Water Guidelines Paper 6 National Water Quality Management Strategy (2011) National Health and Medical Research Council, National Resource Management Ministerial Council, Commonwealth of Australia, Canberra are simply ‘to ensure that drinking water is free of microorganisms that can cause disease’. Whereas, the Australian Guidelines for Water Recycling adopted the WHO QMRA approach for setting health-based microbial targets to manage health risk to customers. WW has investigated adopting the AGWR methodology for drinking water risk management, and invested in the development of a convenient and practical QMRA tool for rapid assessment and reporting of the microbial safety of its drinking water systems. This action resulted in the identification of several drinking water system performance deficiencies, and recommendations for system improvements and optimization to improve health risk management to customers.

Nutrient recirculating soilless culture system as a predictable and stable way of microbial risk management

2021 ◽  
Vol 298 ◽  
pp. 126747
Author(s):  
Tae In Ahn ◽  
Jung-Seok Yang ◽  
Soo Hyun Park ◽  
Yong-Hoon Im ◽  
Ju Young Lee
Keyword(s):  
Risk Management ◽  
Culture System ◽  
Soilless Culture ◽  
Microbial Risk

Application of Quantitative Microbial Risk Assessments for Estimation of Risk Management Metrics: Clostridium perfringens in Ready-to-Eat and Partially Cooked Meat and Poultry Products as an Example†

2009 ◽  
Vol 72 (10) ◽  
pp. 2151-2161 ◽  
Author(s):  
EDMUND A. CROUCH ◽  
DAVID LaBARRE ◽  
NEAL J. GOLDEN ◽  
JANELL R. KAUSE ◽  
KERRY L. DEARFIELD
Keyword(s):  
Public Health ◽  
Risk Assessment ◽  
Risk Management ◽  
Food Safety ◽  
Food Chain ◽  
Risk Assessments ◽  
Maximum Frequency ◽  
Microbial Risk ◽  
Poultry Products ◽  
Cooked Meat

The U.S. Department of Agriculture, Food Safety and Inspection Service is exploring quantitative risk assessment methodologies to incorporate the use of the Codex Alimentarius' newly adopted risk management metrics (e.g., food safety objectives and performance objectives). It is suggested that use of these metrics would more closely tie the results of quantitative microbial risk assessments (QMRAs) to public health outcomes. By estimating the food safety objective (the maximum frequency and/or concentration of a hazard in a food at the time of consumption) and the performance objective (the maximum frequency and/or concentration of a hazard in a food at a specified step in the food chain before the time of consumption), risk managers will have a better understanding of the appropriate level of protection (ALOP) from microbial hazards for public health protection. We here demonstrate a general methodology that allows identification of an ALOP and evaluation of corresponding metrics at appropriate points in the food chain. It requires a two-dimensional probabilistic risk assessment, the example used being the Monte Carlo QMRA for Clostridium perfringens in ready-to eat and partially cooked meat and poultry products, with minor modifications to evaluate and abstract required measures. For demonstration purposes, the QMRA model was applied specifically to hot dogs produced and consumed in the United States. Evaluation of the cumulative uncertainty distribution for illness rate allows a specification of an ALOP that, with defined confidence, corresponds to current industry practices.

Quality and Risk Management in the IVF Laboratory

2004 ◽  
Author(s):  
David Mortimer ◽  
Sharon T. Mortimer
Keyword(s):  
Risk Management
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