Analytical recovery of protozoan enumeration methods: have drinking water QMRA models corrected or created bias?
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[1] E. Topp,et al. Using Campylobacter spp. and Escherichia coli data and Bayesian microbial risk assessment to examine public health risks in agricultural watersheds under tile drainage management. , 2013, Water research.
[2] Jack F Schijven,et al. QMRAspot: a tool for Quantitative Microbial Risk Assessment from surface water to potable water. , 2011, Water research.
[3] P.W.M.H. Smeets,et al. Stochastic Modelling of Drinking Water Treatment in Quantitative Microbial Risk Assessment , 2010 .
[4] Monica B. Emelko,et al. Particle and microorganism enumeration data: enabling quantitative rigor and judicious interpretation. , 2010, Environmental science & technology.
[5] P. Reilly,et al. Quantification of analytical recovery in particle and microorganism enumeration methods. , 2010, Environmental science & technology.
[6] A. Fazil,et al. Water consumption habits of a south-western Ontario community. , 2009, Journal of water and health.
[7] Michèle Prévost,et al. Including operational data in QMRA model: development and impact of model inputs. , 2009, Journal of water and health.
[8] Nicholas J Ashbolt,et al. Incorporating method recovery uncertainties in stochastic estimates of raw water protozoan concentrations for QMRA. , 2007, Journal of water and health.
[9] C. Sensen,et al. Tracking Host Sources of Cryptosporidium spp. in Raw Water for Improved Health Risk Assessment , 2007, Applied and Environmental Microbiology.
[10] N J Ashbolt,et al. Pathogen monitoring offers questionable protection against drinking-water risks: a QMRA (quantitative microbial risk analysis) approach to assess management strategies. , 2006, Water science and technology : a journal of the International Association on Water Pollution Research.
[11] Jean-Baptiste Denis,et al. A Quantitative Risk Assessment of Waterborne Cryptosporidiosis in France Using Second‐Order Monte Carlo Simulation , 2004, Risk analysis : an official publication of the Society for Risk Analysis.
[12] P J Nobel,et al. Quantitative risk assessment of Cryptosporidium in surface water treatment. , 2003, Water science and technology : a journal of the International Association on Water Pollution Research.
[13] C. Haas. Conditional Dose‐Response Relationships for Microorganisms: Development and Application , 2002, Risk analysis : an official publication of the Society for Risk Analysis.
[14] Jennifer L. Clancy,et al. The plain, hard truth about pathogen monitoring , 2000 .
[15] Maarten Nauta,et al. Separation of uncertainty and variability in quantitative microbial risk assessment models. , 2000 .
[16] W. Slob,et al. Analysis of Variable Fractions Resulting from Microbial Counts , 1999 .
[17] Mgb,et al. Cryptosporidium in drinking water: Evaluation of the ILSI quantitative risk assessment framework , 1999 .
[18] J. Rose,et al. Quantitative Microbial Risk Assessment , 1999 .
[19] P. Gale. Simulating Cryptosporidium exposures in drinking water during an outbreak , 1998 .
[20] Arie H. Havelaar,et al. Assessment of the risk of infection by Cryptosporidium or Giardia in drinking water from a surface water source , 1997 .
[21] Christopher S. Crockett,et al. Assessing the risk posed by oocysts in drinking water , 1996 .
[22] J. Rose,et al. The infectivity of Cryptosporidium parvum in healthy volunteers. , 1995, The New England journal of medicine.
[23] Charles P. Gerba,et al. Modeling the Risk from Giardia and Viruses in Drinking Water , 1991 .
[24] Charles P. Gerba,et al. Use of Risk Assessment for Development of Microbial Standards , 1991 .
[25] C N Haas,et al. Risk assessment and control of waterborne giardiasis. , 1991, American journal of public health.
[26] P J Schmidt,et al. QMRA and decision-making: are we handling measurement errors associated with pathogen concentration data correctly? , 2011, Water research.
[27] R. Gimbel,et al. A STATISTICAL METHOD FOR DETERMINING THE RELIABILITY OF THE 1 ANALYTICAL RESULTS IN THE DETECTION OF CRYPTOSPORIDIUM AND GIARDIA , 1996 .