NCCID’s new Mod4PH Research Highlights podcast showcases new and relevant mathematical modelling research for public health.
In this episode, we speak to Dr. Rachael Milwid about her experiences and considerations as a math modelling researcher during the COVID-19 pandemic.
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.
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.
This fact sheet describes infectious disease modelling with an equity lens. It provides a definition, offers examples of disaggregation, and highlights the characteristics of infectious diseases transmission that can be influenced by population dynamics.
This webinar examines how mathematical models have improved our understanding of disease persistence in populations and explores how models of endemicity may be applied to evolving COVID-19.
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.
This infographic overviews big data in Public health. It explains basic big data concepts, types of datasets and how public health uses this technology.
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…
