This presentation explores vector modelling and what it tells us about potential vector range expansion due to climate change. It presents, in response to several vector modelling initiatives that include BC, an overview of several different active and passive tick and mosquito surveillance programs that the BC Centre for Disease Control has been engaged with. These projects include active tick surveillance in the province (field work and ticks off birds), passive tick surveillance in companion animals and mosquito surveillance on Vancouver Island and the Sea to Sky region.
Stream: Mathematical Modelling & Big Data
mod4PH Research Highlights: AIMMLab Mini-series
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.
Voices of Sovereignty Season 1: Navigating Data Sovereignty and Governance for First Nations
This podcast series explores the challenges, opportunities, and best practices surrounding First Nations data ownership, control, access, and possession.
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…
Understanding and Assessing Quantitative Modelling Research
This document provides an overview of how to critically assess a research article which uses quantitative, data-driven mathematical modelling to examine infectious disease transmission. Included is a Quick Reference Guide which aligns with the process of quantitative model development and the format of research articles and is meant to assist in a critical review of the research.
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”.
Guidelines for the Economic Evaluation of Vaccination Programs in Canada
This webinar will provide an overview of the new Guidelines for the Economic Evaluation of Vaccination Programs in Canada produced by the National Advisory Committee on Immunizations (NACI).
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.
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.
Insights for Public Health’s Use of Mobility Data
This case study highlights one team’s experience of using mobile device data to help inform a public health response. Their story provides public health decision-makers, managers, epidemiologists, policy analysts and others with insights and lessons that can help prepare them for working with big data.