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Waterborne microbial risk assessment : a population-based dose-response function for Giardia spp. (E.MI.R.A study)

BACKGROUND: Dose-response parameters based on clinical challenges are frequently used to assess the health impact of protozoa in drinking water. We compare the risk estimates associated with Giardia in drinking water derived from the dose-response parameter published in the literature and the incide...

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Autores principales: Zmirou-Navier, D, Gofti-Laroche, L, Hartemann, Ph
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1468406/
https://www.ncbi.nlm.nih.gov/pubmed/16672062
http://dx.doi.org/10.1186/1471-2458-6-122
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author Zmirou-Navier, D
Gofti-Laroche, L
Hartemann, Ph
author_facet Zmirou-Navier, D
Gofti-Laroche, L
Hartemann, Ph
author_sort Zmirou-Navier, D
collection PubMed
description BACKGROUND: Dose-response parameters based on clinical challenges are frequently used to assess the health impact of protozoa in drinking water. We compare the risk estimates associated with Giardia in drinking water derived from the dose-response parameter published in the literature and the incidence of acute digestive conditions (ADC) measured in the framework of an epidemiological study in a general population. METHODS: The study combined a daily follow-up of digestive morbidity among a panel of 544 volunteers and a microbiological surveillance of tap water. The relationship between incidence of ADC and concentrations of Giardia cysts was modeled with Generalized Estimating Equations, adjusting on community, age, tap water intake, presence of bacterial indicators, and genetic markers of viruses. The quantitative estimate of Giardia dose was the product of the declared amount of drinking water intake (in L) by the logarithm of cysts concentrations. RESULTS: The Odds Ratio for one unit of dose [OR = 1.76 (95% CI: 1.21, 2.55)] showed a very good consistency with the risk assessment estimate computed after the literature dose-response, provided application of a 20 % abatement factor to the cysts counts that were measured in the epidemiological study. Doing so, a daily water intake of 2 L and a Giardia concentration of 10 cysts/100 L, would yield an estimated relative excess risk of 12 % according to the Rendtorff model, against 11 % when multiplying the baseline rate of ADC by the corresponding OR. This abatement parameter encompasses uncertainties associated with germ viability, infectivity and virulence in natural settings. CONCLUSION: The dose-response function for waterborne Giardia risk derived from clinical experiments is consistent with epidemiological data. However, much remains to be learned about key characteristics that may heavily influence quantitative risk assessment results.
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spelling pubmed-14684062006-05-25 Waterborne microbial risk assessment : a population-based dose-response function for Giardia spp. (E.MI.R.A study) Zmirou-Navier, D Gofti-Laroche, L Hartemann, Ph BMC Public Health Research Article BACKGROUND: Dose-response parameters based on clinical challenges are frequently used to assess the health impact of protozoa in drinking water. We compare the risk estimates associated with Giardia in drinking water derived from the dose-response parameter published in the literature and the incidence of acute digestive conditions (ADC) measured in the framework of an epidemiological study in a general population. METHODS: The study combined a daily follow-up of digestive morbidity among a panel of 544 volunteers and a microbiological surveillance of tap water. The relationship between incidence of ADC and concentrations of Giardia cysts was modeled with Generalized Estimating Equations, adjusting on community, age, tap water intake, presence of bacterial indicators, and genetic markers of viruses. The quantitative estimate of Giardia dose was the product of the declared amount of drinking water intake (in L) by the logarithm of cysts concentrations. RESULTS: The Odds Ratio for one unit of dose [OR = 1.76 (95% CI: 1.21, 2.55)] showed a very good consistency with the risk assessment estimate computed after the literature dose-response, provided application of a 20 % abatement factor to the cysts counts that were measured in the epidemiological study. Doing so, a daily water intake of 2 L and a Giardia concentration of 10 cysts/100 L, would yield an estimated relative excess risk of 12 % according to the Rendtorff model, against 11 % when multiplying the baseline rate of ADC by the corresponding OR. This abatement parameter encompasses uncertainties associated with germ viability, infectivity and virulence in natural settings. CONCLUSION: The dose-response function for waterborne Giardia risk derived from clinical experiments is consistent with epidemiological data. However, much remains to be learned about key characteristics that may heavily influence quantitative risk assessment results. BioMed Central 2006-05-03 /pmc/articles/PMC1468406/ /pubmed/16672062 http://dx.doi.org/10.1186/1471-2458-6-122 Text en Copyright © 2006 Zmirou-Navier et al; licensee BioMed Central Ltd.
spellingShingle Research Article
Zmirou-Navier, D
Gofti-Laroche, L
Hartemann, Ph
Waterborne microbial risk assessment : a population-based dose-response function for Giardia spp. (E.MI.R.A study)
title Waterborne microbial risk assessment : a population-based dose-response function for Giardia spp. (E.MI.R.A study)
title_full Waterborne microbial risk assessment : a population-based dose-response function for Giardia spp. (E.MI.R.A study)
title_fullStr Waterborne microbial risk assessment : a population-based dose-response function for Giardia spp. (E.MI.R.A study)
title_full_unstemmed Waterborne microbial risk assessment : a population-based dose-response function for Giardia spp. (E.MI.R.A study)
title_short Waterborne microbial risk assessment : a population-based dose-response function for Giardia spp. (E.MI.R.A study)
title_sort waterborne microbial risk assessment : a population-based dose-response function for giardia spp. (e.mi.r.a study)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1468406/
https://www.ncbi.nlm.nih.gov/pubmed/16672062
http://dx.doi.org/10.1186/1471-2458-6-122
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