Mod4PH Research Highlights Podcast: Maximizing the impact of limited vaccine supply under different early mpox epidemic conditions

NCCID’s new Mod4PH Research Highlights podcast showcases new and relevant mathematical modelling research for public health.

In the first episode, Jesse Knight speaks to NCCID’s Wendy Xie about his recent work on maximizing the impact of limited vaccine supply under different early mpox epidemic conditions using mathematical modelling.

The COVID-19 Public Health Agency of Canada (PHAC) Modelling Group

COVID-19 has spread across the world, and the associated morbidity and mortality, spawning extensive international research to inform both clinical and public health evidence-based actions to mitigate its effects.  The Public Health Agency of Canada, as part of its mandate, is monitoring, preparing and responding to the COVID-19 outbreak to ensure minimal impacts to the…

PHAC Agent-Based Models on COVID-19

Agent-based models (ABMs) can systematically simulate actions and interactions of independent “agents” that can represent people, places and/or objects within a predefined environment. These models aim to evaluate the success of public health interventions depending upon community structure and population dynamics.

Big Data for Public Health

The National Collaborating Centre for Infectious Diseases (NCCID) brings collaborators together to explore what can be learned from big data to inform public health decision-making for the control of infectious diseases.

PHAC Gathering Risks Model: On-line Calculator

Simple mathematical modelling approaches to assessing the transmission risk of SARS-CoV-2 at gatherings This paper explores the factors that influence the risk of disease transmission at gatherings and the potential effects of mitigation strategies. This mathematical model is built on general principles and provides a simple and pragmatic application of these principles in order to…