scholarly journals Quantitative Microbial Risk Assessment for Escherichia coli in Drinking Water in Bandarharjo Village, Semarang, Indonesia

2020 ◽  
Vol 5 (1) ◽  
pp. 56-60
Author(s):  
Vidia Nabilah Putri ◽  
Sulistiyani Sulistiyani ◽  
Mursid Raharjo
Keyword(s):  
Escherichia Coli ◽  
Risk Assessment ◽  
Drinking Water ◽  
Quantitative Microbial Risk Assessment ◽  
Microbial Risk Assessment ◽  
Microbial Risk

Quantitative microbial risk assessment of a drinking water – wastewater cross-connection simulation

2008 ◽  
Vol 7 (5) ◽  
pp. 525-530 ◽  
Author(s):  
Kristina D. Mena ◽  
Linda C. Mota ◽  
Mark C. Meckes ◽  
Christopher F. Green ◽  
William W. Hurd ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Drinking Water ◽  
Quantitative Microbial Risk Assessment ◽  
Microbial Risk Assessment ◽  
Microbial Risk ◽  
Cross Connection

A review of quantitative microbial risk assessment in the management of Escherichia coli O157:H7 on beef

Meat Science ◽  
2006 ◽  
Vol 74 (1) ◽  
pp. 76-88 ◽  
Author(s):  
Geraldine Duffy ◽  
Enda Cummins ◽  
Pádraig Nally ◽  
Stephen O’ Brien ◽  
Francis Butler
Keyword(s):  
Escherichia Coli ◽  
Risk Assessment ◽  
Escherichia Coli O157 ◽  
Quantitative Microbial Risk Assessment ◽  
Microbial Risk Assessment ◽  
Microbial Risk

Quantitative Microbial Risk Assessment for Escherichia coli O157:H7, Salmonella, and Listeria monocytogenes in Leafy Green Vegetables Consumed at Salad Bars

2010 ◽  
Vol 73 (2) ◽  
pp. 274-285 ◽  
Author(s):  
E. FRANZ ◽  
S. O. TROMP ◽  
H. RIJGERSBERG ◽  
H. J. van der FELS-KLERX
Keyword(s):  
Public Health ◽  
Escherichia Coli ◽  
Risk Assessment ◽  
Monte Carlo ◽  
Escherichia Coli O157 ◽  
Quantitative Microbial Risk Assessment ◽  
Microbial Risk Assessment ◽  
Microbial Risk ◽  
The Public ◽  
E Coli

Fresh vegetables are increasingly recognized as a source of foodborne outbreaks in many parts of the world. The purpose of this study was to conduct a quantitative microbial risk assessment for Escherichia coli O157:H7, Salmonella, and Listeria monocytogenes infection from consumption of leafy green vegetables in salad from salad bars in The Netherlands. Pathogen growth was modeled in Aladin (Agro Logistics Analysis and Design Instrument) using time-temperature profiles in the chilled supply chain and one particular restaurant with a salad bar. A second-order Monte Carlo risk assessment model was constructed (using @Risk) to estimate the public health effects. The temperature in the studied cold chain was well controlled below 5°C. Growth of E. coli O157:H7 and Salmonella was minimal (17 and 15%, respectively). Growth of L. monocytogenes was considerably greater (194%). Based on first-order Monte Carlo simulations, the average number of cases per year in The Netherlands associated the consumption leafy greens in salads from salad bars was 166, 187, and 0.3 for E. coli O157:H7, Salmonella, and L. monocytogenes, respectively. The ranges of the average number of annual cases as estimated by second-order Monte Carlo simulation (with prevalence and number of visitors as uncertain variables) were 42 to 551 for E. coli O157:H7, 81 to 281 for Salmonella, and 0.1 to 0.9 for L. monocytogenes. This study included an integration of modeling pathogen growth in the supply chain of fresh leafy vegetables destined for restaurant salad bars using software designed to model and design logistics and modeling the public health effects using probabilistic risk assessment software.

Quantitative microbial risk assessment (QMRA) to support decisions for water supply in affluent and developing countries

2019 ◽  
Vol 14 (3) ◽  
pp. 542-548 ◽  
Author(s):  
P. W. M. H. Smeets
Keyword(s):  
Risk Assessment ◽  
Developing Countries ◽  
Drinking Water ◽  
Water Supply ◽  
Quantitative Microbial Risk Assessment ◽  
Microbial Risk Assessment ◽  
Microbial Risk ◽  
The Past ◽  
Relative Risks ◽  
Microbial Risks

Abstract Providing microbially safe water is a main goal of water supply to prevent endemic waterborne disease and outbreaks. Since increasing the level of safety requires resources, it is important to identify most relevant risks and efficient ways to reach health-based targets. Over the past decades, quantitative microbial risk assessment (QMRA) developed into a systematic, science-based approach to assess microbial risks through drinking water supply. In this study we present the QMRA approach and how it can be used to support decisions in both affluent and developing countries. This includes examples from the statutory QMRA in the Netherlands that led to efficient and effective improvements in water supply, not only in treatment, but also in monitoring and operation. In developing countries people often need to use various sources of drinking water. We will demonstrate how QMRA can help to improve insight in the relative risks of these routes and the effect of interventions.

scholarly journals Reference pathogen numbers in urban stormwater for drinking water risk assessment

2015 ◽  
Vol 6 (1) ◽  
pp. 30-39 ◽  
Author(s):  
D. W. Page ◽  
K. Barry ◽  
D. Gonzalez ◽  
A. Keegan ◽  
P. Dillon
Keyword(s):  
Risk Assessment ◽  
Drinking Water ◽  
Open Space ◽  
Microbial Inactivation ◽  
Control Measures ◽  
Quantitative Microbial Risk Assessment ◽  
Log10 Reduction ◽  
Urban Stormwater ◽  
Microbial Risk Assessment ◽  
Microbial Risk

Targeted stormwater event-based monitoring of adenovirus, Cryptosporidium and Campylobacter, the human health reference pathogens of viruses, protozoa and bacteria, respectively, was undertaken to determine numbers prior to water recycling via an aquifer. This allowed the determination of a 95th percentile of reference pathogen numbers in stormwater (2 n/L for adenoviruses, 1.4 n/L for Cryptosporidium and 11 n/L for Campylobacter) and was used in a quantitative microbial risk assessment to determine the required microbial inactivation targets. Log10 removals through treatments and/or control measures to manage pathogen risks were determined for different end uses based on the 95th percentile numbers. Public open space irrigation was found to require 1.6 log10 reduction for viruses, 0.6 log10 for protozoa and 1.2 log10 for bacteria; third pipe systems which include potential exposure through toilet flushing and washing machine use require 2.7 log10 reduction for viruses, 1.8 log10 for protozoa and 2.3 log10 for bacteria; and drinking water requires 5.8 log10 reduction for viruses, 4.8 log10 for protozoa and 5.3 log10 for bacteria. These results are the first reported for an Australian urban stormwater site with sufficient data for a drinking water risk assessment.

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