About the Courses

The 2023 Summer School in Emerging Infectious Diseases Modelling, organized by the Atlantic Association for Research in the Mathematical Sciences (AARMS), is taking place at Bonne Bay Marine Station, located in Norris Point on the west coast of Newfoundland, offering two graduate-level mathematics courses from August 19 to 31, 2023.

Two courses include:

  • Course 1. Mathematical epidemiology, and
  • Course 2. Data, models, and decision support.

The summer school is at the scenic Bonne Bay Marine Station in Norris Point on the picturesque west coast of Newfoundland.

For individuals unable to attend in person, the course lecture slides are accessible below for your convenience.

Course 1. Mathematical Epidemiology

This course covers different formulations and analyses of epidemiological models. Topics include host heterogeneity, multiple pathogens, spatial spread, within-host dynamics, and zoonotic spillover.

Some lectures will be based on Modelling Infectious Diseases in Humans and Animals by Matt Keeling and Pejman Rohani. This book is usually available for download as an ebook from university libraries.

Course outline (downloadable .pdf)

Course 2. Data, Models, and Decision Support

This course teaches the technical skills to parameterize dynamical systems models in ecology and evolution and quantify prediction uncertainty. The course will examine case studies to understand the use of models in decision support.

This course is based on Ecological Forecasting by Michael Dietze. This book is usually available for download as an ebook from university libraries.

Course outline (downloadable .pdf)

Instructors include OMNI-RÉUNIS members:

Access the 2023 AARMS-EIDM Summer School Lecture Series


The summer school is supported by the Atlantic Association for Research in the Mathematical SciencesMathematics for Public Health, the Canadian Network for Modelling Infectious Diseases, the One Health Modelling Network for Emerging InfectionsMemorial University, and the Canadian Centre for Disease Modelling.


Contact information

Dr. Amy Hurford, (Organizer)
email: [email protected]

Biology Dept
Department of Mathematics & Statistics
Memorial University of Newfoundland and Labrador