Lorna Deeth

Faculty Advisor
Associate Professor, Statistics
Phone number: 
519-824-4120 x53034
MacNaughton 548


Available positions for grads/undergrads/postdoctoral fellows: 

Inquire by email

Research Themes:

My research interests include infectious disease modelling; spatial and spatiotemporal statistical methods; and surveillance models as applied to (veterinary) epidemiology, environmental science, and ecotoxicology. Key research topics include:

  1. Modelling infectious diseases. Prof. Deeth has developed a latent conditional individual-level model for infectious diseases, as well as investigated the effect of clustering individuals to reduce the computation burden associated with these models. She and her students are comparing model predictive capabilities versus computation expense when using a population reduction technique (e.g. clustering) compared to approximation techniques (e.g. Bayesian computation) for fitting individual-level models.
  2. Environmental Toxicology. Prof. Deeth also conducts collaborative research that explores models for environmental effects monitoring programs. 

Teaching Themes:

My teaching interests include teaching undergraduate through graduate level statistics courses; the development of course content and resources for all levels of statistics courses; collaborative learning initiatives to assist with the transition from high school to university level mathematics and statistics.


  • Research Interests include:
    • Infectious disease modelling
    • Spatial and spatiotemporal disease analysis
    • Environmental effect monitoring and surveillance methods
    • Computational statistics
  • Teaching Interests include:
    • Introductory undergraduate through graduate level statistics
    • Course content development and software implementation
    • Development of learning strategies and collaborative learning initiatives
  • Comparison between distribution-free rank test and parametric statistics in two-way and RCBD experimental design based on R implementation
    Wenjun Yang, STAT*4600 Project (2015).
  • Selecting models for monitoring fork lengths of Athabasca white sucker: a simulation study
    Neil Faught, STAT*4600 Project (2016).
  • Early influenza outbreak prediction using logistic regression models
    Madeline Ward, STAT*4600 Project (2017)
  • B.Sc. (University of Guelph), 2005.
  • M.Sc. in Statistics (University of Guelph), 2007.
  • Ph.D. in Statistics (University of Guelph), 2012.
  • Hanson, ML, Deeth, LE, Prosser, RS. 2018. Evidence of citation bias in the pesticide ecotoxicology literature. Ecotoxicology. (doi 10.1007/s10646-018-1918-4)
  • Ruffell S, Frank RA, Woodworth AP, Bragg LM, Bauer AE, Deeth LE, Müller KM, Farwell AJ, Dixon DG, Servos MR, McConkey BJ. 2016. Assessing bioremediation potential of algal species indigenous to oil sands process-affected waters on mixtures of acid extractable organics. Ecotoxicology and Environmental Safety 133:373-380.
  • Deeth, LE & Deardon, R. 2016. Spatial data aggregation for spatio-temporal individual-level models of infectious disease transmission. Spatial and Spatio-temporal Epidemiology 17: 95–104 (doi 10.1016/j.sste.2016.04.013)
  • Deeth, LE, Deardon, R, & Gillis, DJ. 2015. Model choice using the deviance information criterion for latent conditional individual-level models of infectious disease spread. Epidemiologic Methods 4(1): 47–68.
  • Deeth LE, Deardon, R. 2013. Latent Conditional Individual-Level Models for Infectious Disease Modelling.The International Journal of Biostatistics 9(1): 75–93 (doi 10.1515/ijb-2013-0026)
  • Leithead MD, Anand M, & Deeth L. 2009. A synthetic approach for analyzing tropical tree spatial patterns through time. Community Ecology 10 (1): 45-52.
  • Excellence in Undergraduate Teaching Award, College of Engineering and Physical Sciences, 2018
  • NSERC Discovery Grant (Early Career Researcher) and Discovery Launch Supplement, 2018
  • Coordinator, Statistics Learning Centre, University of Guelph, 2019-present
  • Ontario Representative, Statistical Society of Canada, 2017-2018, 2019-2020
  • Statistical consultant for peer-reviewed journal, Veterinary Pathology, 2015-present