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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/12209

Title: Probabilistic quantitative microbial risk assessment model of norovirus fromwastewater irrigated vegetables in Ghana using genome copies and fecal indicator ratio conversion for estimating exposure dose
Authors: Owusu-Ansah, Emmanuel de-Graft Johnson
Sampson, Angelina
Amponsah, Samuel K.
Abaidoo, Robert C.
Dalsgaard, Anders
et. al
Keywords: QMRA
Norovirus
Fecal indicator
Disability Adjusted Life Years
Public health
Probabilistic model
Issue Date: 2017
Publisher: Elsevier B.V
Citation: Elsevier B.V, Science of the Total Environment 601–602 (2017) 1712–1719
Abstract: The need to replace the commonly applied fecal indicator conversions ratio (an assumption of 1:10−5 virus to fecal indicator organism) in Quantitative Microbial Risk Assessment (QMRA) with models based on quantitative data on the virus of interest has gained prominence due to the different physical and environmental factors that might influence the reliability of using indicator organisms in microbial risk assessment. The challenges facing analytical studies on virus enumeration (genome copies or particles) have contributed to the already existing lack of data in QMRA modelling. This study attempts to fit a QMRA model to genome copies of norovirus data. The model estimates the risk of norovirus infection from the intake of vegetables irrigated with wastewater fromdifferent sources. The resultswere compared to the results of a corresponding model using the fecal indicator conversion ratio to estimate the norovirus count. In all scenarios of using differentwater sources, the application of the fecal indicator conversion ratio underestimated the norovirus disease burden, measured by the Disability Adjusted Life Years (DALYs), when compared to results using the genome copies norovirus data. In some cases the difference was N2 orders of magnitude. All scenarios using genome copies met the 10−4 DALY per person per year for consumption of vegetables irrigated with wastewater, although these results are considered to be highly conservative risk estimates.
Description: An article published by Elsevier B.V and also available at .doi.org/10.1016/j.scitotenv.2017.05.168
URI: http://hdl.handle.net/123456789/12209
Appears in Collections:College of Science

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