Journal Articles

Ramesh AK, Parreño V, Schmidt PJ, Lei S, Zhong W, Jiang X, Emelko MB, Yuan L, 2020. Evaluation of the 50% Infectious Dose of Human Norovirus Cin-2 in Gnotobiotic Pigs: A Comparison of Classical and Contemporary Methods for Endpoint EstimationViruses, 12(9):955.

Schmidt PJ, Anderson WB, Emelko MB, 2020. Describing Water Treatment Process Performance: Why Average Log-reduction can be a Misleading StatisticWater Research, 176:115702. [Reply to CommentWater Research, 185:116266.]

Schmidt PJ, Emelko MBE, Thompson ME, 2020. Recognizing Structural Non-Identifiability: When Experiments Don’t Provide Information about Important Parameters and Misleading Models Can Still Have Great Fit. Risk Analysis, 40(2):352-369.

Emelko MB, Schmidt PJ, Borchardt MA, 2019. Confirming the Need for Virus Disinfection in Municipal Subsurface Drinking Water Supplies. Water Research, 157:356-364.

Chik AHS, Schmidt PJ, Emelko MB, 2018. Learning Something from Nothing: The Critical Importance of Rethinking Microbial Non-DetectsFrontiers in Microbiology, 9(2304):1-9.

Lapen DR, Schmidt PJ, Thomas JL, Edge T, Flemming C, Keithlin J, Neumann N, Pollari F, Ruecker N, Simhon A, Topp E, Wilkes G, Pintar KDM, 2016. Towards a More Accurate Quantitative Assessment of Seasonal Cryptosporidium Infection Risks in Surface Waters Using Species and Genotype InformationWater Research, 105:625-637.

Murphy HM, Thomas MK, Schmidt PJ, Medeiros DT, McFadyen S, Pintar KDM, 2016. Estimating the Burden of Acute Gastrointestinal Illness Due to GiardiaCryptosporidiumCampylobacterE. coli O157 and Norovirus Associated with Private Wells and Small Water Systems in CanadaEpidemiology and Infection, 144(7):1355-1370.

Schmidt PJ, 2015. Norovirus Dose-Response: Are Currently Available Data Informative Enough to Determine How Susceptible Humans Are to Infection from a Single Virus? Risk Analysis, 35(7):1364-1383.

Schmidt PJ, Emelko MB, Thompson ME, 2014. Variance Decomposition: A Tool Enabling Strategic Improvement of the Precision of Analytical Recovery and Concentration Estimates Associated with Microorganism Enumeration MethodsWater Research, 55:203-214.

Wilkes G, Brassard J, Edge T, Gannon V, Jokinen C, Jones TH, Neumann N, Pintar KDM, Ruecker N, Schmidt PJ, Sunohara M, Topp E, Lapen DR, 2013. Bacteria, Viruses, and Parasites in an Intermittent Stream Protected from and Exposed to Pasturing Cattle: Prevalence, Densities, and Quantitative Microbial Risk Assessment. Water Research, 47(16):6244-6257.

Schmidt PJ, Pintar KDM, Fazil AM, Flemming, CA, Lanthier M, Laprade N, Sunohara M, Simhon A, Thomas JL, Topp E, Wilkes G, Lapen DR, 2013. Using Campylobacter spp. Data and Bayesian Microbial Risk Assessment to Examine Public Health Risks in Agricultural Watersheds Under Tile Drainage ManagementWater Research, 47(10):3255-3272.

Schmidt PJ, Emelko MB, Thompson ME, 2013. Analytical Recovery of Protozoan Enumeration Methods: Have Drinking Water QMRA Models Corrected or Created Bias? Water Research, 47(7):2399-2408.

Schmidt PJ, Pintar KDM, Fazil AM, Topp E, 2013. Harnessing the Theoretical Foundations of the Exponential and Beta-Poisson Dose-Response Models to Quantify Parameter Uncertainty Using Markov Chain Monte CarloRisk Analysis, 33(9):1677-1693.

Schmidt PJ, Emelko MB, 2011. QMRA and Decision-Making: Are We Handling Measurement Errors Associated with Pathogen Concentration Data Correctly? Water Research, 45(2):427-438.

Emelko MB, Schmidt PJ, Reilly PM, 2010. Particle and Microorganism Enumeration Data: Enabling Quantitative Rigor and Judicious InterpretationEnvironmental Science and Technology, 44(5):1720-1727.

Schmidt PJ, Emelko MB, Reilly PM, 2010. Quantification of Analytical Recovery in Particle and Microorganism Enumeration MethodsEnvironmental Science and Technology, 44(5):1705-1712.

Emelko MB, Schmidt PJ, Roberson JA, 2008. Quantification of Uncertainty in Microbial Data – Reporting and Regulatory ImplicationsJournal of the American Water Works Association, 100(3):94-104.