|The ABM-Lab offers a research and training program to develop professional skills with a solid theoretical background in systems biology, with particular emphasis on computational epidemiology, pathogen-host dynamics, ecological interactions, inference and data analysis, stochastic modelling and agent-based simulations, and use of smart technologies in modelling infectious diseases. The program provides an enriched environment for interdisciplinary networking activities and collaborations across disciplines with the involvement of stakeholders, industrial partners, and knowledge users.|
|The ABM-Lab hosts Areto computational cluster with a private network, Mac Pro workstations for all research activities, and a high-end server and large storage capacity. Smart technologies and communication portals are available for collaboration, and sharing information and knowledge generated in the Lab. The ABM-Lab is an independent research entity hosted by the Faculty of Science, and its research and training activities are supported by several funding agencies including CIHR, NSERC, and Mitacs.|
Canadian Foundation for Innovation Award (CFI Award)
Quantitative Methods and Infrastructure for Rapid, Evidence-Based Decision Support in Public Health
Moghadas SM, Shoukat A, Wells CR, Sah P, Pandey A, Wang Z, Fitzpatrick M, Meyers LA, Singer BH, Galvani AP, Projecting hospital utilization during the COVID-19 outbreaks in the United States, Proceedings of the National Academy of Sciences USA.
Shoukat A, Wells CR, Langley JM, Singer BH, Galvani AP, Moghadas SM, Projecting demand for critical care beds during COVID-19 outbreaks in Canada, Canadian Medical Association Journal.
Abdollahi E, Haworth-Brockman M, Keynan Y, Langley JM, Moghadas SM, Simulating the effect of school closure during COVID-19 outbreaks in Ontario, Canada, BMC Medicine (in press).
Champredon D, Shoukat A, Singer BH, Galvani AP, Moghadas SM, Curbing the 2019 Samoa measles outbreak. The Lancet Infectious Diseases.
The ABM-Lab is now equipped with "Areto" compute cluster