Results 11 to 20 of about 2,474 (192)

Research gaps and priorities for quantitative microbial risk assessment (QMRA) [PDF]

Risk Analysis
AbstractThe coronavirus disease 2019 pandemic highlighted the need for more rapid and routine application of modeling approaches such as quantitative microbial risk assessment (QMRA) for protecting public health. QMRA is a transdisciplinary science dedicated to understanding, predicting, and mitigating infectious disease risks.
Dean, Kara, Gerrity, Daniel, Murphy, Heather, Jahne, Michael, Nejadhashemi, A. Pouyan, Dunbar, Gwyneth, Harrison, Joanna Ciol, Zimmer‐Faust, Amy, Aw, Tiong Gim, Oryang, David, Pasek, Emily, Weir, Mark, Owusu‐Ansah, Emmanuel de‐Graft Johnson, Solo‐Gabriele, Helena, Schoen, Mary, Eisenberg, Joseph N. S., Smeets, Patrick W. M. H., Gurian, Patrick L., Haas, Charles N., Mraz, Alexis, Julian, Timothy R., Gibson, Jacqueline MacDonald, Jones, Rachael M., Meschke, J. Scott, Pradhan, Abani K., Medema, Gertjan, Razzolini, Maria Tereza Pepe, Hamilton, Kerry A., Li, Yanbin, Li, Hongwan, Bibby, Kyle, Libarkin, Julie, Verhougstraete, Marc, Mitchell, Jade, Wilson, Amanda M., Williams, Clinton, Emelko, Monica, Brown, Joe, Soller, Jeffrey, Ryan, Michael O., Rose, Joan B., Alja'fari, Jumana, Hartnett, Emma, Bivins, Aaron   +43 more
core   +9 more sources

Incorporating parameter uncertainty into Quantitative Microbial Risk Assessment (QMRA) [PDF]

Journal of Water and Health, 2011
Modern statistical models and computational methods can now incorporate uncertainty of the parameters used in Quantitative Microbial Risk Assessments (QMRA). Many QMRAs use Monte Carlo methods, but work from fixed estimates for means, variances and other parameters.
Donald, Margaret, Mengersen, Kerrie, Tose, Simon, Jantinder, Sidhu, Cook, Angus   +4 more
openaire   +6 more sources

Improvement of quantitative microbiological risk assessment (QMRA) methodology through integration with gaenetic data

EFSA Journal, 2023
Quantitative microbiological risk assessment (QMRA) methodology aims to estimate and describe the transmission of pathogenic microorganisms from animals and food to humans.
Sara Arnaboldi, Elisa Benincà, Eric G. Evers   +2 more
doaj   +2 more sources

Pathogen performance testing of a natural swimming pool using a cocktail of microbiological surrogates and QMRA-derived management goals

Journal of Water and Health, 2021
In recent decades, natural swimming pools (NSPs) have gained popularity in Europe, especially in Germany and Austria. NSPs differ from swimming pools in that they utilize biological treatment processes based on wetland processes with no disinfection ...
David C. Shoults, Qiaozhi Li, Susan Petterson, Sydney P. Rudko, Lena Dlusskaya, Mats Leifels, Candis Scott, Cyndi Schlosser, Nicholas J. Ashbolt   +8 more
doaj   +2 more sources

A Generalized QMRA Beta‐Poisson Dose‐Response Model

Risk Analysis, 2016
Quantitative microbial risk assessment (QMRA) is widely accepted for characterizing the microbial risks associated with food, water, and wastewater. Single‐hit dose‐response models are the most commonly used dose‐response models in QMRA. Denoting as the probability of infection at a given mean dose d, a three‐parameter generalized QMRA beta‐Poisson ...
Xie, Gang, Roiko, Anne, Stratton, Helen, Lemckert, Charles, Dunn, Peter K, Mengersen, Kerrie   +5 more
openaire   +4 more sources

Application of a QMRA Framework to Inform Selection of Drinking Water Interventions in the Developing Context

Risk Analysis, 2015
The aim of this study was to develop a modified quantitative microbial risk assessment (QMRA) framework that could be applied as a decision support tool to choose between alternative drinking water interventions in the developing context. The impact of different household water treatment (HWT) interventions on the overall incidence of diarrheal disease
Petterson, SR
openaire   +4 more sources

Beyond QMRA: Modelling microbial health risk as a complex system using Bayesian networks

Environment International, 2015
Quantitative microbial risk assessment (QMRA) is the current method of choice for determining the risk to human health from exposure to microorganisms of concern. However, current approaches are often constrained by the availability of required data, and may not be able to incorporate the many varied factors that influence this risk.
Denise Beaudequin, Fiona Harden, Anne Roiko, Helen Stratton, Charles Lemckert, Kerrie Mengersen   +5 more
openaire   +6 more sources

Application of QMRA to MAR operations for safe agricultural water reuses in coastal areas

Water Research X, 2020
A pathogenic Escherichia coli (E.coli) O157:H7 and O26:H11 dose-response model was set up for a quantitative microbial risk assessment (QMRA) of the waterborne diseases associated with managed aquifer recharge (MAR) practices in semiarid regions. The MAR facility at Forcatella (Southern Italy) was selected for the QMRA application. The target counts of
Masciopinto C, Vurro M, Lorusso N, Santoro D, Haas CN   +4 more
openaire   +5 more sources

Utility of Bayesian networks in QMRA-based evaluation of risk reduction options for recycled water

Science of The Total Environment, 2016
Quantitative microbial risk assessment (QMRA), the current method of choice for evaluating human health risks associated with disease-causing microorganisms, is often constrained by issues such as availability of required data, and inability to incorporate the multitude of factors influencing risk.
Denise Beaudequin, Fiona Harden, Anne Roiko, Kerrie Mengersen   +3 more
openaire   +6 more sources

Towards stormwater reuse risk management plans: Methodology and catchment scale evaluation of QMRA [PDF]

Science of The Total Environment
The reuse of stormwater represents a potential option for meeting water demands in water stressed regions as well as preventing and mitigating diffuse pollution of receiving water bodies. Particularly, the elaboration of a risk management plan for stormwater reuse may help to understand associated environmental and public health risks and design fit ...
Szelag, Bartosz, De Simoni, Lucia, Kiczko, Adam, Sgroi, Massimiliano, Eusebi, Anna Laura, Fatone, Francesco   +5 more
openaire   +3 more sources