Quantitative microbial risk assessment of Legionella pneumophila in a drinking water supply system in Israel

2019 ◽  
Vol 671 ◽  
pp. 404-410 ◽  
Author(s):  
Y. Sharaby ◽  
S. Rodríguez-Martínez ◽  
M.G. Höfle ◽  
I. Brettar ◽  
M. Halpern
Keyword(s):  
Risk Assessment ◽  
Drinking Water ◽  
Water Supply ◽  
Legionella Pneumophila ◽  
Supply System ◽  
Drinking Water Supply ◽  
Quantitative Microbial Risk Assessment ◽  
Microbial Risk Assessment ◽  
Microbial Risk ◽  
Drinking Water Supply System

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 Risk Assessment of Drinking Water Supply System in the Tidal Inundation Area of Semarang – Indonesia

2015 ◽  
Vol 23 ◽  
pp. 93-98 ◽  
Author(s):  
Budiyono ◽  
Praba Ginandjar ◽  
Lintang Dian Saraswati ◽  
Dina Rahayuning Pangestuti ◽  
Martini ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Drinking Water ◽  
Water Supply ◽  
Supply System ◽  
Water Supply System ◽  
Drinking Water Supply ◽  
Tidal Inundation ◽  
Inundation Area ◽  
Drinking Water Supply System

Fuzzy-Logic Modeling of Risk Assessment for a Small Drinking-Water Supply System

2009 ◽  
Vol 135 (6) ◽  
pp. 547-552 ◽  
Author(s):  
Mijin Lee ◽  
Edward Arthur McBean ◽  
Mirnader Ghazali ◽  
Corinne J. Schuster ◽  
Jinhui Jeanne Huang
Keyword(s):  
Risk Assessment ◽  
Fuzzy Logic ◽  
Drinking Water ◽  
Water Supply ◽  
Supply System ◽  
Water Supply System ◽  
Drinking Water Supply ◽  
Logic Modeling ◽  
Fuzzy Logic Modeling ◽  
Drinking Water Supply System

scholarly journals Quantitative microbial risk assessment to estimate health risks attributable to water supply: Can the technique be applied in developing countries with limited data?

2006 ◽  
Vol 4 (1) ◽  
pp. 49-65 ◽  
Author(s):  
Guy Howard ◽  
Steve Pedley ◽  
Sarah Tibatemwa
Keyword(s):  
Risk Assessment ◽  
Developing Countries ◽  
Drinking Water ◽  
Water Supply ◽  
Disease Burden ◽  
Quantitative Microbial Risk Assessment ◽  
Limited Data ◽  
Water Supplies ◽  
Microbial Risk Assessment ◽  
Microbial Risk

In the 3rd edition of its Guidelines for Drinking-Water Quality (2004) (GDWQ) the World Health Organization (WHO) promotes the use of risk assessment coupled with risk management for the control of water safety in drinking water supplies. Quantitative microbial risk assessment (QMRA) provides a tool for estimating the disease-burden from pathogenic microorganisms in water using information about the distribution and occurrence of the pathogen or an appropriate surrogate. This information may then be used to inform decisions about appropriate management of the water supply system. Although QMRA has been used to estimate disease burden from water supplies in developed countries, the method has not been evaluated in developing countries where relevant data may be scarce. In this paper, we describe a simplified risk assessment procedure to calculate the disease burden from three reference pathogens – pathogenic Escherichia coli, Cryptosporidium parvum and rotavirus – in water supplies in Kampala, Uganda. The study shows how QMRA can be used in countries with limited data, and that the outcome can provide valuable information for the management of water supplies.

scholarly journals Nocardioides hungaricus sp. nov., isolated from a drinking water supply system

2011 ◽  
Vol 61 (3) ◽  
pp. 549-553 ◽  
Author(s):  
Erika M. Tóth ◽  
Zsuzsa Kéki ◽  
Judit Makk ◽  
Zalán G. Homonnay ◽  
Károly Márialigeti ◽  
...  
Keyword(s):  
Drinking Water ◽  
16S Rrna ◽  
16S Rrna Gene ◽  
Water Supply ◽  
Gene Sequence ◽  
Supply System ◽  
Drinking Water Supply ◽  
Rrna Gene ◽  
Rrna Gene Sequence ◽  
Drinking Water Supply System

Three Gram-positive, rod-shaped bacterial strains were isolated from the drinking water supply system of the Hungarian capital, Budapest. Phylogenetic analysis on the basis of 16S rRNA gene sequence comparison revealed that the isolates represented a distinct cluster within the clade of the genus Nocardioides and were most closely related to Nocardioides pyridinolyticus OS4T, Nocardioides aquiterrae GW-9T, Nocardioides sediminis MSL-01T and N. hankookensis DS-30T. The peptidoglycan based on ll-2,6-diaminopimelic acid, the major menaquinone MK-8(H4), the cellular fatty acid profile with iso-C16 : 0 and anteiso-C17 : 0 as predominating components and the DNA G+C content of 71.4 mol% (strain 1RaM5-12T) were consistent with the affiliation of the isolates to the genus Nocardioides. Because of differences in physiological characteristics, matrix-assisted laser-desorption/ionization time-of-flight mass spectra of protein extracts, PvuII RiboPrinter patterns and 96.1 % 16S rRNA gene sequence similarity between strain 1RaM5-12T and its closest phylogenetic neighbour, N. pyridinolyticus OS4T, a novel species, Nocardioides hungaricus sp. nov., is proposed. The type strain is 1RaM5-12T (=DSM 21673T =NCAIM 02330T).

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