Literature DB >> 10913979

Occurrence of pathogenic microorganisms in the Saint Lawrence River (Canada) and comparison of health risks for populations using it as their source of drinking water.

P Payment1, A Berte, M Prévost, B Ménard, B Barbeau.   

Abstract

A 300-km portion of the Saint Lawrence hydrological basin in the province of Québec (Canada) and 45 water treatment plants were studied. River water used by drinking water treatment plants was analyzed (6-L sample volumes) to determine the level of occurrence of bacterial indicators (total coliforms, fecal coliforms, and Clostridium perfringens) and pathogens (Giardia lamblia, Cryptosporidium, human enteric viruses). Pathogens and bacterial indicators were found at all sites at a wide range of values. Logistic regression analysis revealed significant correlations between the bacterial indicators and the pathogens. Physicochemical and treatment practices data were collected from most water treatment plants and used to estimate the level of removal of pathogens achieved under cold (0 degree C-4 degrees C) and warm (20 degrees C-25 degrees C) water temperature conditions. The calculated removal values were then used to estimate the annual risk of Giardia infection using mathematical models and to compare the sites. The estimated range of probability of infection ranged from 0.75 to less than 0.0001 for the populations exposed. Given the numerous assumptions made, the model probably overestimated the annual risk, but it provided comparative data of the efficacy of the water treatment plants and thereby contributes to the protection of public health.

Entities:  

Mesh:

Year:  2000        PMID: 10913979

Source DB:  PubMed          Journal:  Can J Microbiol        ISSN: 0008-4166            Impact factor:   2.419


  17 in total

1.  Microbial load of drinking water reservoir tributaries during extreme rainfall and runoff.

Authors:  T Kistemann; T Classen; C Koch; F Dangendorf; R Fischeder; J Gebel; V Vacata; M Exner
Journal:  Appl Environ Microbiol       Date:  2002-05       Impact factor: 4.792

2.  A Bayesian network model for analysis of detection performance in surveillance systems.

Authors:  Masoumeh Izadi; David Buckeridge; Anna Okhmatovskaia; Samson W Tu; Martin J O'Connor; Csongor Nyulas; Mark A Musen
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

3.  Longitudinal study of microbial diversity and seasonality in the Mexico City metropolitan area water supply system.

Authors:  Marisa Mazari-Hiriart; Yolanda López-Vidal; Sergio Ponce-de-León; Juan José Calva; Francisco Rojo-Callejas; Gonzalo Castillo-Rojas
Journal:  Appl Environ Microbiol       Date:  2005-09       Impact factor: 4.792

4.  Occurrence, source, and human infection potential of cryptosporidium and Giardia spp. in source and tap water in shanghai, china.

Authors:  Yaoyu Feng; Xukun Zhao; Jiaxu Chen; Wei Jin; Xiaonong Zhou; Na Li; Lin Wang; Lihua Xiao
Journal:  Appl Environ Microbiol       Date:  2011-04-15       Impact factor: 4.792

5.  A simulation model of waterborne gastro-intestinal disease outbreaks: description and initial evaluation.

Authors:  Anya Okhmatovskaia; Aman D Verma; Benoit Barbeau; Annie Carriere; Romain Pasquet; David L Buckeridge
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

6.  Occurrence of waterborne pathogens and Escherichia coli at offshore drinking water intakes in lake Ontario.

Authors:  T A Edge; I U H Khan; R Bouchard; J Guo; S Hill; A Locas; L Moore; N Neumann; E Nowak; P Payment; R Yang; R Yerubandi; S Watson
Journal:  Appl Environ Microbiol       Date:  2013-07-08       Impact factor: 4.792

7.  Comparison of method 1623 and cell culture-PCR for detection of Cryptosporidium spp. in source waters.

Authors:  Mark W LeChevallier; George D Di Giovanni; Jennifer L Clancy; Zia Bukhari; Shan Bukhari; Jeffrey S Rosen; Jose Sobrinho; Michelle M Frey
Journal:  Appl Environ Microbiol       Date:  2003-02       Impact factor: 4.792

8.  Effects of seeding procedures and water quality on recovery of Cryptosporidium oocysts from stream water by using U.S. Environmental Protection Agency Method 1623.

Authors:  Donna S Francy; Otto D Simmons; Michael W Ware; Emma J Granger; Mark D Sobsey; Frank W Schaefer
Journal:  Appl Environ Microbiol       Date:  2004-07       Impact factor: 4.792

9.  Tracking host sources of Cryptosporidium spp. in raw water for improved health risk assessment.

Authors:  Norma J Ruecker; Shannon L Braithwaite; Edward Topp; Thomas Edge; David R Lapen; Graham Wilkes; Will Robertson; Diane Medeiros; Christoph W Sensen; Norman F Neumann
Journal:  Appl Environ Microbiol       Date:  2007-05-04       Impact factor: 4.792

10.  Multivariate logistic regression for predicting total culturable virus presence at the intake of a potable-water treatment plant: novel application of the atypical coliform/total coliform ratio.

Authors:  L E Black; G M Brion; S J Freitas
Journal:  Appl Environ Microbiol       Date:  2007-04-27       Impact factor: 4.792

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