Literature DB >> 17890840

How can the UK statutory Cryptosporidium monitoring be used for Quantitative Risk Assessment of Cryptosporidium in drinking water?

P W M H Smeets1, J C van Dijk, G Stanfield, L C Rietveld, G J Medema.   

Abstract

Quantitative Microbiological Risk Assessment (QMRA) is increasingly being used to complement traditional verification of drinking water safety through the absence of indicator bacteria. However, the full benefit of QMRA is often not achieved because of a lack of appropriate data on the fate and behaviour of pathogens. In the UK, statutory monitoring for Cryptosporidium has provided a unique dataset of pathogens directly measured in large volumes of treated drinking water. Using this data a QMRA was performed to determine the benefits and limitations of such state-of-the-art monitoring for risk assessment. Estimates of the risk of infection at the 216 assessed treatment sites ranged from 10(-6.5) to 10(-2.5) person(-1) d(-1). In addition, Cryptosporidium monitoring data in source water was collected at eight treatment sites to determine how Cryptosporidium removal could be quantified for QMRA purposes. Cryptosporidium removal varied from 1.8 to 5.2 log units and appeared to be related to source water Cryptosporidium concentration. Application of general removal credits can either over- or underestimate Cryptosporidium removal by full-scale sedimentation and filtration. State-of-the-art pathogen monitoring can identify poorly performing systems, although it is ineffective to verify drinking water safety to the level of 10(-4) infections person(-1) yr(-1).

Entities:  

Mesh:

Year:  2007        PMID: 17890840     DOI: 10.2166/wh.2007.140

Source DB:  PubMed          Journal:  J Water Health        ISSN: 1477-8920            Impact factor:   1.744


  3 in total

1.  Bayesian Modeling of Enteric Virus Density in Wastewater Using Left-Censored Data.

Authors:  Tsuyoshi Kato; Takayuki Miura; Satoshi Okabe; Daisuke Sano
Journal:  Food Environ Virol       Date:  2013-08-25       Impact factor: 2.778

2.  Spatiotemporal analysis of Cryptosporidium species/genotypes and relationships with other zoonotic pathogens in surface water from mixed-use watersheds.

Authors:  Graham Wilkes; Norma J Ruecker; Norman F Neumann; Victor P J Gannon; Cassandra Jokinen; Mark Sunohara; Edward Topp; Katarina D M Pintar; Thomas A Edge; David R Lapen
Journal:  Appl Environ Microbiol       Date:  2012-11-02       Impact factor: 4.792

Review 3.  Considerations for estimating microbial environmental data concentrations collected from a field setting.

Authors:  Erin E Silvestri; Cynthia Yund; Sarah Taft; Charlena Yoder Bowling; Daniel Chappie; Kevin Garrahan; Eletha Brady-Roberts; Harry Stone; Tonya L Nichols
Journal:  J Expo Sci Environ Epidemiol       Date:  2016-02-17       Impact factor: 5.563

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.