Results 51 to 60 of about 2,474 (192)

jssobolik/norovirus_produce_QMRA_model: First release of norovirus QMRA model code

open access: yes, 2021
This is the first release of the norovirus QMRA model code used to characterize human norovirus contamination of fresh produce (raspberries, tomatoes, lettuces) during harvesting and packing activities in an agriculture setting.
jssobolik
core   +1 more source

Quantitative risk assessment of non-typhoidal Salmonella enterica in pork products

open access: yesZhongguo shipin weisheng zazhi, 2020
Non-typhoidal Salmonella enterica is one of most important foodborne pathogens in the world. It infects humans through contaminated poultry and livestock meats.
Huayun JIA, Qingli DONG, Ge ZHAO, Li BAI
doaj   +1 more source

Utility of QMRA to compare health risks associated with alternative urban sewer overflow management strategies

open access: yes, 2020
Wet weather sewer overflows pose potential short-term public health risks. With increasing populations, aging infrastructure and climate change, utilities are challenged with managing sewerage infrastructure to provide optimum outcomes.
McAlister, Tony   +5 more
core   +1 more source

Development and evaluation of an intensive short course: the Quantitative Microbial Risk Assessment Interdisciplinary Instructional Institute (QMRA III)

open access: yesJournal of Microbiology & Biology Education
Quantitative microbial risk assessment (QMRA) is a growing interdisciplinary field addressing exposures to microbial pathogens and infectious disease processes.
Jade Mitchell   +4 more
doaj   +1 more source

Development of a microbial dose response visualization and modelling application for QMRA modelers and educators [PDF]

open access: yesEnvironmental Modelling & Software, 2017
Microbial dose response modelling is vital to a well-characterized microbial risk estimate. Dose response modelling is an inherently multidisciplinary field, which collates knowledge and data from disparate scientific fields. This multidisciplinary nature presents a key challenge to the expansion of microbial dose response modelling into new groups of ...
Mark H. Weir   +3 more
openaire   +2 more sources

Consensus on the directions for development in quantitative microbial risk assessment

open access: yesZhongguo shipin weisheng zazhi
In recent years, quantitative microbial risk assessment (QMRA) for food safety has developed rapidly both domestically and internationally. QMRA integrates multidisciplinary theoretical knowledge and technical methodologies to quantitatively assess the ...
DONG Qingli   +16 more
doaj   +1 more source

Uncertainties associated with assessing the public health risk from Legionella

open access: yesFrontiers in Microbiology, 2014
Legionella is an opportunistic pathogen of public health concern. Current regulatory and management guidelines for the control of this organism are informed by risk assessments.
Harriet eWhiley   +3 more
doaj   +1 more source

Systematic review of the relative concentrations of noroviruses and fecal indicator bacteria in wastewater: considerations for use in quantitative microbial risk assessment

open access: yesJournal of Water and Health, 2021
Human noroviruses are a leading cause of food- and water-borne disease, which has led to an interest in quantifying norovirus health risks using quantitative microbial risk assessment (QMRA).
Zelfa Hamadieh   +2 more
doaj   +1 more source

Quantification of pathogen inactivation efficacy by free chlorine disinfection of drinking water for QMRA [PDF]

open access: yesJournal of Water and Health, 2015
To support the implementation of quantitative microbial risk assessment (QMRA) for managing infectious risks associated with drinking water systems, a simple modeling approach for quantifying Log10 reduction across a free chlorine disinfection contactor was developed.
Petterson, S.R., Stenström, Thor-Axel
openaire   +3 more sources

Simplified Linear Dose‐Response Models for Low‐Dose QMRAs

open access: yesAWWA Water Science, Volume 8, Issue 5, September/October 2026.
ABSTRACT This study analyzes widely used dose‐response (DR) models from potable reuse quantitative microbial risk assessments (QMRAs) to identify the low‐dose ranges where the log10‐transformed probability of infection and pathogen dose exhibit a linear relationship.
Katherine Crank   +2 more
wiley   +1 more source

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