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.
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.
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.
Dr. Gwen Knight speaks with us about her research in modelling antibiotic resistance and the implications of this work for public health.
This glossary presents a comprehensive list of terms and their definitions to unify the use and interpretation of infectious disease epidemiology and modelling terminology.
In this mod4PH episode, we speak to Dr. Rachael Milwid about her experiences and considerations as a math modelling researcher during the COVID-19 pandemic.
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.
This study sought to explore how different epidemic conditions could affect optimal allocation of a limited supply of mpox vaccines across 2 partially connected GBMSM networks.
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…
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.
This webinar will cover the approaches to infection prevention and control of mpox as well as the clinical evaluation and management of mpox infections in the United States.
This fact sheet summarizes some key opportunities and challenges of using disaggregated data to model infectious disease with an equity lens.