Emerging Infectious Diseases Modelling Initiative
The Public Health Agency of Canada and NSERC are working together to strengthen collaborative efforts among the academic community and all relevant stakeholders to conduct and coordinate infectious diseases modelling to better respond to COVID-19 and other similar situations. The Emerging Infectious Diseases Modelling Initiative aims to establish multi-disciplinary network(s) of specialists across the country in modelling infectious diseases to be applied to public needs associated with emerging infectious diseases and pandemics such as COVID-19.
Total funded networks
Total networks funded
5
Total awarded
$10,000,000
Funded networks
| Researcher | Title | Summary | Institution | Funding amount |
|---|---|---|---|---|
| Murty, Vijayakumar | Mathematics for Public Health (MfPH) | Mathematics for Public Health (MfPH), led by Dr. V. Kumar Murty, Director of the Fields Institute and Professor at the University of Toronto, will aim to bridge the gap between mathematical research and real public health issues. The team will seek to produce models that are effective, practical and reliable for applications to public health issues for COVID-19 as well as boost Canada’s future pandemic preparedness. | Toronto | $ 3,000,000 |
| McCabe, Christopher | One Society Network: mathematical modelling of multi-sectoral impact of pandemics and control policies | The One Society Network, led by Dr. Christopher McCabe at the University of Alberta, will include developing modelling for evaluating alternative policy responses during pandemics for all sectors of the economy and aspects of society, including marginalised groups. They will also be collaborating on multi-disciplinary training programs for skills development to support public policy making in future pandemics. | Alberta | $ 1,250,000 |
| Zhu, Huaiping | One Health Modelling Network for Emerging Infections (OMNI) | The One Health Modelling Network for Emerging Infections (OMNI), led by Dr. Huaiping Zhu at York University, will identify gaps that can be used to prioritize more targeted surveillance or data collection and then use those data to refine models. This work will contribute to an improved understanding of the conditions that enable pathogen spread and transmission and identify actions that can most effectively manage these conditions. | York | $ 2,500,000 |
| Colijn, Caroline | CANMOD: Canadian Network for Modelling Infectious Disease | The Canadian Network for Modelling Infectious Disease (CANMOD), led by Dr. Caroline Colijn at Simon Fraser University, will increase Canada’s capacity for infectious disease modelling to directly support short, medium, and long-term public health decisions. It will build and coordinate national capacity by sharing research problems, models and estimates, data files and expertise among researchers in academia, industry and the public sector. | Simon Fraser | $ 2,500,000 |
| Brown, Patrick | Statistical Methods for Managing Emerging Infectious Diseases | Statistical Methods for Managing Emerging Infectious Diseases, led by Dr. Patrick Brown at the University of Toronto, will develop methods and tools to get an accurate picture of the nature and extent of infectious disease transmission in the population, relying on real-world data from administrative sources and surveys. They are seeking to augment Canada's capacity to respond to emerging infectious diseases. | Toronto | $ 750,000 |
