Record Display for the EPA National Library Catalog

RECORD NUMBER: 749 OF 3040

OLS Field Name OLS Field Data
Main Title Development and evaluation of novel dose-response models for use in microbial risk assessment {electronic resource} /
CORP Author Environmental Protection Agency, Washington, DC. National Center for Environmental Assessment.
Publisher National Center for Environmental Assessment,
Year Published 2008
Report Number EPA/600/R-08/033
Stock Number PB2008-114297
Subjects Drinking water--Microbiology--Models ; Drinking water--Purification ; Environmental risk assessment--Models ; Health risk assessment--Models
Additional Subjects Microorganisms ; Risk assessments ; Drinking water ; Water pollution effects ; Pathogens ; Exposures ; Risks ; Infection responses ; Quantitative assessments ; Wastewater reuse ; Public health ; Dose-reponse models ; Water-borne pathogens ; Predictive Bayesian framework
Internet Access
Description Access URL
http://oaspub.epa.gov/eims/xmlreport.display?deid=174385&z_chk=32829&format=print
http://oaspub.epa.gov/eims/eimscomm.getfile?p_download_id=473610
http://purl.access.gpo.gov/GPO/LPS110795
https://nepis.epa.gov/Exe/ZyPDF.cgi?Dockey=P100VRP7.PDF
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB2008-114297 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 03/10/2010
Collation 29 p. : digital, PDF file
Abstract
Dose-response relationships relating population infection and illness responses to drinking water dose are important to support development of drinking water and wastewater reuse policy. Illness endpoints, in particular, are of primary importance in economic benefits assessment and management of risk. Dose-response relationships for both endpoints, therefore, are needed for assessing the full extent of disease burden attributable to pathogens in drinking water and to evaluate the need for new regulation. The purpose of this document is to present the predictive Bayesian framework as an alternative to the current methods for expressing the risk of infection and illness resulting from exposure to pathogens in drinking water. Secondarily, an alternative non-Poisson approach for characterizing the exposure distribution at the tap is offered in the context of the dose-response function. Together, these new methods may provide a more realistic and rigorous depiction of the impact of water-borne pathogens on drinking water consumers.
Notes
"EPA/600/R-08/033" "March 2008." Title from title screen (viewed on June 2, 2008).
Contents Notes
The purpose of this document is to describe a body of literature on a predictive (unconditional) Bayesian framework as an alternative to the currently used approach (variations on ILSI, 2000) to express the risk of infection and illness resulting from exposure to pathogens in drinking water. Secondarily, an alternative to the Poisson distribution for characterizing pathogens in tap water is also described. Together, these new methods may provide a more realistic and rigorous depiction of the impact of water-borne pathogens on drinking water consumers.