In this mod4PH podcast mini-series, we will discuss with members of the Artificial Intelligence and Mathematical Modelling Lab (AIMMLab) about how they are leveraging novel AI tools for mathematical modelling and for Canadian public health.
Stream: Mathematical Modelling & Big Data
In the Equation Workshop: Towards Indigenous-led infectious diseases modelling research
The National Collaborating Centre for Infectious Diseases (NCCID) presents In the Equation, a workshop to discuss how mathematical modelling can be used to answer public health questions on infectious diseases for First Nations, Inuit and Métis communities. Held in Winnipeg from February 18 – 19, 2025, this event brought together 30 community experts, researchers, mathematical…
mod4PH Research Highlights Podcast: Within-Host Modelling, What Does It Mean To Model Immunity?
In this episode, we spoke with Dr Jane Heffernan from York University about using mathematical modelling methods for understanding and controlling infectious diseases in individuals (or immunology) and in populations (or epidemiology), and discuss the differences between within-host and population-level modelling.
What can routine surveillance data reveal about antibiotic resistance dynamics?
This webinar will address two analyses of routine surveillance data designed to support parameterisation and construction of mechanistic mathematical models of AMR.
mod4PH Research Highlights Podcast: Is scientific evidence enough? Using expert opinion to fill gaps in data in antimicrobial resistance research
In this episode, we spoke with Dr Melanie Cousins from the Public Health Agency of Canada about some of her PhD work, which was recently published in an article titled “Is scientific evidence enough? Using expert opinion to fill gaps in data in antimicrobial resistance research”.
mod4PH Research Highlights Podcast: NACI Guidelines for economic evaluation of vaccination programs in Canada
This episode will provide an overview of the National Advisory Committee on Immunization (NACI) health economics guidelines for the evaluation of vaccination programs in Canada, and how they can be used to inform best practices and promote standardized and high-quality evidence for public health decision making.
Mathematical Modelling & Big Data
Mathematical modelling is a research method that can improve public health planning and infectious disease control. Big Data refers to very large and diverse datasets that are analyzed at high velocity to reveal patterns, trends, and associations. NCCID supports an expanding area of knowledge translation and exchange related to mathematical modelling and the use of…
mod4PH Research Highlights Podcast: The Past, Present, and Future of Infectious Disease Modelling for Public Health
In this episode, Dr. Michael Li spoke with us about the past, present, and future of infectious disease modelling, the different roles and responsibilities of a math modeller, and how he envisions math modelling for public health in the future.